forked from tomekg/aitech-wizualizacja
1733 lines
1.3 MiB
Plaintext
1733 lines
1.3 MiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Wizualizacja danych"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"library(repr) # To resize plots in Jupyter\n",
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"options(repr.plot.width = 16, repr.plot.height = 9)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Wprowadznie do grafiki w R"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"R dysponuje bardzo dużymi możliwościami w zakresie graficznej prezentacji uzyskanych wyników. Aby jednak w pełni korzystać z jego możliwości zapoznamy się wpierw z systemem prezentacji grafiki. Bazowy system graficzny dzieli każdą stronę na trzy główne obszary: marginesy zewnętrzne (*ang. outer margins*), obszar rysunku (*ang. figure region*) oraz obszar kreślenia (*plot region*). Obszar jaki uzyskujemy po odrzuceniu marginesów zewnętrznych nazywany jest obszarem wewnętrznym (*ang. inner region*)."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"<img src=\"figs/Rgrafika.png\" width=\"400\">"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Obszar na zewnątrz obszaru kreślenia, ale wewnątrz obszaru rysunku nazywa się marginesami rysunku (*ang. figure margins*). Większość funkcji rysujących wykorzystuje obszar kreślenia do rysowania symboli graficznych oraz linii, natomiast osie oraz etykiety nanoszone są na marginesach rysunku lub marginesach zewnętrznych. Rozmiar oraz położenie marginesów kontrolowane są za pomocą funkcji <font color='red'>par</font>. Polecenia graficzne w R można podzielić na trzy typy: funkcje wysokiego poziomu, funkcje niskiego poziomu oraz funkcje parametrów graficznych."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Funkcje wysokiego poziomu"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Tworzą nowy wykres:\n",
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"\n",
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"- <font color='red'>plot</font> - wykres punktowy, najpopularniejsza funkcja graficzna, przeciążona praktycznie dla każdego obiektu,\n",
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"- <font color='red'>curve</font> - wykres funkcji.\n",
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"\n",
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"\n",
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"Każda funkcja wysokiego poziomu może zostać wywołana z parametrami:\n",
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"\n",
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"- add = FALSE - jeżeli TRUE, nakłada wykres na już istniejący,\n",
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"- axes = TRUE - jeżeli FALSE, nie rysuje osi i pudełka naokoło,\n",
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"- type = 'p' - określa rodzaj wykresu. Główne typy to: 'p' - punkty, 'l' - linie bez punktów, 'b' - punkty połączone za pomocą linii, 'o' - linie oraz punkty na nich leżące, 'h' - linie pionowe, 's' oraz 'S' - linie łączą punkty (najpierw w poziomie potem w pionie lub na odwrót), 'n' - pusty wykres,\n",
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"- xlim =, ylim = - określa początek i koniec osi,\n",
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"- xlab =, ylab =] - tytuły osi,\n",
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"- main = - tytuł wykresu,\n",
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"- sub = - podtytuł (mniejsza czcionka).\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"<img src=\"figs/type.png\" width=\"400\">"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Funkcje niskiego poziomu"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Funkcje takie dodają pewne elementy do już istniejącego wykresu:\n",
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"\n",
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"- abline(a, b) - rysuje prostą $y=ax+b$,\n",
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"- arrows(x0, y0, x1, y1) - dodaje strzałkę,\n",
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"- legend(x, y, \\alert{legend} = 'legenda') - dodaje legendę,\n",
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"- lines(x, y) - rysuje linię,\n",
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"- points(x, y) - rysuje punkty,\n",
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"- poly(x, y) - rysuje wielokąt,\n",
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"- rect(x0, y0, x1, y1) - rysuje prostokąt,\n",
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"- text(x, y, \\alert{label} = 'tekst') - dodaje 'tekst' w punkcie (x, y). Możemy dodawać opisy matematyczne (i nie tylko), których składnia opiera się na wewnętrznym systemie R zbliżonym do TEXa,\n",
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"- title('tytuł') - dodaje tytuł.\n",
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"\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Funkcje parametrów graficznych"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Zmieniają oraz poprawiają wygląd okna graficznego. Większość ustawień jest kontrolowana poprzez funkcję <font color='red'>par</font>, która wywołana bez parametrów wyświetla bieżące ustawienia okna. Jedną z najważniejszych opcji oferowanych przez <font color='red'>par</font> jest podział okna graficznego. Uzyskujemy to za pomocą opcji <font color='red'>mfrow</font> oraz <font color='red'>mfcol</font>. W tym pierwszym przypadku obrazki rysowane są po wierszach, w drugim po kolumnach. Bardziej skomplikowane układy mogą być uzyskane za pomocą poleceń <font color='red'>split.screen</font> oraz <font color='red'>layout</font>."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Podstawowe parametry graficzne"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"- adj - Wyrównanie tekstu, 0 - do lewej, 0.5 - do środka, 1 - do prawej.\n",
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"- bg - Kolor tła.\n",
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"- bty - Kontroluje rodzaj obramowania rysunku. Dopuszczalne wartości to: 'n', 'o', 'l', '7', 'c', 'u', ']', gdzie 'n' oznacza brak obramowania, natomiast pozostałe parametry określają typy obramowania zgodne z wyglądem znaków, np. : 'u' - wszystkie linie poza górną.\n",
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"- cex - Wielkość powiększenia symboli i tekstu.\n",
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"- col - Kolor punktów, linii, tekstu oraz wypełnionych obrazków. Do kolorów można się odwoływać za pomocą nazwy lub korzystając z modelu RGB. Wszystkie 657 nazw kolorów możemy wyświetlić za pomocą funkcji <font color='red'>colors</font>.\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"<img src=\"figs/paleta.png\" width=\"300\">"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<style>\n",
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".list-inline {list-style: none; margin:0; padding: 0}\n",
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".list-inline>li {display: inline-block}\n",
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".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
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"</style>\n",
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"<ol class=list-inline><li>'white'</li><li>'aliceblue'</li><li>'antiquewhite'</li><li>'antiquewhite1'</li><li>'antiquewhite2'</li><li>'antiquewhite3'</li><li>'antiquewhite4'</li><li>'aquamarine'</li><li>'aquamarine1'</li><li>'aquamarine2'</li><li>'aquamarine3'</li><li>'aquamarine4'</li><li>'azure'</li><li>'azure1'</li><li>'azure2'</li><li>'azure3'</li><li>'azure4'</li><li>'beige'</li><li>'bisque'</li><li>'bisque1'</li><li>'bisque2'</li><li>'bisque3'</li><li>'bisque4'</li><li>'black'</li><li>'blanchedalmond'</li><li>'blue'</li><li>'blue1'</li><li>'blue2'</li><li>'blue3'</li><li>'blue4'</li><li>'blueviolet'</li><li>'brown'</li><li>'brown1'</li><li>'brown2'</li><li>'brown3'</li><li>'brown4'</li><li>'burlywood'</li><li>'burlywood1'</li><li>'burlywood2'</li><li>'burlywood3'</li><li>'burlywood4'</li><li>'cadetblue'</li><li>'cadetblue1'</li><li>'cadetblue2'</li><li>'cadetblue3'</li><li>'cadetblue4'</li><li>'chartreuse'</li><li>'chartreuse1'</li><li>'chartreuse2'</li><li>'chartreuse3'</li><li>'chartreuse4'</li><li>'chocolate'</li><li>'chocolate1'</li><li>'chocolate2'</li><li>'chocolate3'</li><li>'chocolate4'</li><li>'coral'</li><li>'coral1'</li><li>'coral2'</li><li>'coral3'</li><li>'coral4'</li><li>'cornflowerblue'</li><li>'cornsilk'</li><li>'cornsilk1'</li><li>'cornsilk2'</li><li>'cornsilk3'</li><li>'cornsilk4'</li><li>'cyan'</li><li>'cyan1'</li><li>'cyan2'</li><li>'cyan3'</li><li>'cyan4'</li><li>'darkblue'</li><li>'darkcyan'</li><li>'darkgoldenrod'</li><li>'darkgoldenrod1'</li><li>'darkgoldenrod2'</li><li>'darkgoldenrod3'</li><li>'darkgoldenrod4'</li><li>'darkgray'</li><li>'darkgreen'</li><li>'darkgrey'</li><li>'darkkhaki'</li><li>'darkmagenta'</li><li>'darkolivegreen'</li><li>'darkolivegreen1'</li><li>'darkolivegreen2'</li><li>'darkolivegreen3'</li><li>'darkolivegreen4'</li><li>'darkorange'</li><li>'darkorange1'</li><li>'darkorange2'</li><li>'darkorange3'</li><li>'darkorange4'</li><li>'darkorchid'</li><li>'darkorchid1'</li><li>'darkorchid2'</li><li>'darkorchid3'</li><li>'darkorchid4'</li><li>'darkred'</li><li>'darksalmon'</li><li>'darkseagreen'</li><li>'darkseagreen1'</li><li>'darkseagreen2'</li><li>'darkseagreen3'</li><li>'darkseagreen4'</li><li>'darkslateblue'</li><li>'darkslategray'</li><li>'darkslategray1'</li><li>'darkslategray2'</li><li>'darkslategray3'</li><li>'darkslategray4'</li><li>'darkslategrey'</li><li>'darkturquoise'</li><li>'darkviolet'</li><li>'deeppink'</li><li>'deeppink1'</li><li>'deeppink2'</li><li>'deeppink3'</li><li>'deeppink4'</li><li>'deepskyblue'</li><li>'deepskyblue1'</li><li>'deepskyblue2'</li><li>'deepskyblue3'</li><li>'deepskyblue4'</li><li>'dimgray'</li><li>'dimgrey'</li><li>'dodgerblue'</li><li>'dodgerblue1'</li><li>'dodgerblue2'</li><li>'dodgerblue3'</li><li>'dodgerblue4'</li><li>'firebrick'</li><li>'firebrick1'</li><li>'firebrick2'</li><li>'firebrick3'</li><li>'firebrick4'</li><li>'floralwhite'</li><li>'forestgreen'</li><li>'gainsboro'</li><li>'ghostwhite'</li><li>'gold'</li><li>'gold1'</li><li>'gold2'</li><li>'gold3'</li><li>'gold4'</li><li>'goldenrod'</li><li>'goldenrod1'</li><li>'goldenrod2'</li><li>'goldenrod3'</li><li>'goldenrod4'</li><li>'gray'</li><li>'gray0'</li><li>'gray1'</li><li>'gray2'</li><li>'gray3'</li><li>'gray4'</li><li>'gray5'</li><li>'gray6'</li><li>'gray7'</li><li>'gray8'</li><li>'gray9'</li><li>'gray10'</li><li>'gray11'</li><li>'gray12'</li><li>'gray13'</li><li>'gray14'</li><li>'gray15'</li><li>'gray16'</li><li>'gray17'</li><li>'gray18'</li><li>'gray19'</li><li>'gray20'</li><li>'gray21'</li><li>'gray22'</li><li>'gray23'</li><li>'gray24'</li><li>'gray25'</li><li>'gray26'</li><li>'gray27'</li><li>'gray28'</li><li>'gray29'</li><li>'gray30'</li><li>'gray31'</li><li>'gray32'</li><li>'gray33'</li><li>'gray34'</li><li>'gray35'</li><li>'gray36'</li><li>'gray37'</li><li>'gray38'</li><li>'gray39'</li><li>'gray40'</li><li>'gray41'</li><li>'gray42'</li><li>'gray43'</li><li>'gray44'</li><li>'gray45'</li><li>'gray46'</li><li>'gray47'</li><li>⋯</li><li>'maroon3'</li><li>'maroon4'</li><li>'mediumaquamarine'</li><li>'mediumblue'</li><li>'mediumorchid'</li><li>'mediumorchid1'</li><
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],
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"text/latex": [
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"\\begin{enumerate*}\n",
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"\\item 'white'\n",
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"\\item 'aliceblue'\n",
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"\\item 'antiquewhite'\n",
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"\\item 'antiquewhite1'\n",
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"\\item 'antiquewhite2'\n",
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"\\item 'antiquewhite3'\n",
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"\\item 'antiquewhite4'\n",
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"\\item 'aquamarine'\n",
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"\\item 'aquamarine1'\n",
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"\\item 'aquamarine2'\n",
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"\\item 'aquamarine3'\n",
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"\\item 'aquamarine4'\n",
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"\\item 'azure'\n",
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"\\item 'azure1'\n",
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"\\item 'azure2'\n",
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"\\item 'azure3'\n",
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"\\item 'azure4'\n",
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"\\item 'beige'\n",
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"\\item 'bisque'\n",
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"\\item 'bisque1'\n",
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"\\item 'bisque2'\n",
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"\\item 'bisque3'\n",
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"\\item 'bisque4'\n",
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"\\item 'black'\n",
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"\\item 'blanchedalmond'\n",
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"\\item 'blue'\n",
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"\\item 'blue1'\n",
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"\\item 'blue2'\n",
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"\\item 'blue3'\n",
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"\\item 'blue4'\n",
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"\\item 'blueviolet'\n",
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"\\item 'brown'\n",
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"\\item 'brown1'\n",
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"\\item 'brown2'\n",
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"\\item 'brown3'\n",
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"\\item 'brown4'\n",
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"\\item 'burlywood'\n",
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"\\item 'burlywood1'\n",
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"\\item 'burlywood2'\n",
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"\\item 'burlywood3'\n",
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"\\item 'burlywood4'\n",
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"\\item 'cadetblue'\n",
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"\\item 'cadetblue1'\n",
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"\\item 'cadetblue2'\n",
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"\\item 'cadetblue3'\n",
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"\\item 'cadetblue4'\n",
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"\\item 'chartreuse'\n",
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"\\item 'chartreuse1'\n",
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"\\item 'chartreuse2'\n",
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"\\item 'chartreuse3'\n",
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"\\item 'chartreuse4'\n",
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"\\item 'chocolate'\n",
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"\\item 'chocolate1'\n",
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"\\item 'chocolate2'\n",
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"\\item 'chocolate3'\n",
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"\\item 'chocolate4'\n",
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"\\item 'coral'\n",
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"\\item 'coral1'\n",
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"\\item 'coral2'\n",
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"\\item 'coral3'\n",
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"\\item 'coral4'\n",
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"\\item 'cornflowerblue'\n",
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"\\item 'cornsilk'\n",
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"\\item 'cornsilk1'\n",
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"\\item 'cornsilk2'\n",
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"\\item 'cornsilk3'\n",
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"\\item 'cornsilk4'\n",
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"\\item 'cyan'\n",
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"\\item 'cyan1'\n",
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"\\item 'cyan2'\n",
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"\\item 'cyan3'\n",
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"\\item 'cyan4'\n",
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"\\item 'darkblue'\n",
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"\\item 'darkcyan'\n",
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"\\item 'darkgoldenrod'\n",
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"\\item 'darkgoldenrod1'\n",
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"\\item 'darkgoldenrod2'\n",
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"\\item 'darkgoldenrod3'\n",
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"\\item 'darkgoldenrod4'\n",
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"\\item 'darkgray'\n",
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"\\item 'darkgreen'\n",
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"\\item 'darkgrey'\n",
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"\\item 'darkkhaki'\n",
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"\\item 'darkmagenta'\n",
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"\\item 'darkolivegreen'\n",
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"\\item 'darkolivegreen1'\n",
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"\\item 'darkolivegreen2'\n",
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"\\item 'darkolivegreen3'\n",
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"\\item 'darkolivegreen4'\n",
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"\\item 'darkorange'\n",
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"\\item 'darkorange1'\n",
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"\\item 'darkorange2'\n",
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"\\item 'darkorange3'\n",
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"\\item 'darkorange4'\n",
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"\\item 'darkorchid'\n",
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"\\item 'darkorchid1'\n",
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"\\item 'darkorchid2'\n",
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"\\item 'darkorchid3'\n",
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"\\item 'darkorchid4'\n",
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"\\item 'darkred'\n",
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"\\item 'darksalmon'\n",
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||
|
"\\item 'darkseagreen'\n",
|
||
|
"\\item 'darkseagreen1'\n",
|
||
|
"\\item 'darkseagreen2'\n",
|
||
|
"\\item 'darkseagreen3'\n",
|
||
|
"\\item 'darkseagreen4'\n",
|
||
|
"\\item 'darkslateblue'\n",
|
||
|
"\\item 'darkslategray'\n",
|
||
|
"\\item 'darkslategray1'\n",
|
||
|
"\\item 'darkslategray2'\n",
|
||
|
"\\item 'darkslategray3'\n",
|
||
|
"\\item 'darkslategray4'\n",
|
||
|
"\\item 'darkslategrey'\n",
|
||
|
"\\item 'darkturquoise'\n",
|
||
|
"\\item 'darkviolet'\n",
|
||
|
"\\item 'deeppink'\n",
|
||
|
"\\item 'deeppink1'\n",
|
||
|
"\\item 'deeppink2'\n",
|
||
|
"\\item 'deeppink3'\n",
|
||
|
"\\item 'deeppink4'\n",
|
||
|
"\\item 'deepskyblue'\n",
|
||
|
"\\item 'deepskyblue1'\n",
|
||
|
"\\item 'deepskyblue2'\n",
|
||
|
"\\item 'deepskyblue3'\n",
|
||
|
"\\item 'deepskyblue4'\n",
|
||
|
"\\item 'dimgray'\n",
|
||
|
"\\item 'dimgrey'\n",
|
||
|
"\\item 'dodgerblue'\n",
|
||
|
"\\item 'dodgerblue1'\n",
|
||
|
"\\item 'dodgerblue2'\n",
|
||
|
"\\item 'dodgerblue3'\n",
|
||
|
"\\item 'dodgerblue4'\n",
|
||
|
"\\item 'firebrick'\n",
|
||
|
"\\item 'firebrick1'\n",
|
||
|
"\\item 'firebrick2'\n",
|
||
|
"\\item 'firebrick3'\n",
|
||
|
"\\item 'firebrick4'\n",
|
||
|
"\\item 'floralwhite'\n",
|
||
|
"\\item 'forestgreen'\n",
|
||
|
"\\item 'gainsboro'\n",
|
||
|
"\\item 'ghostwhite'\n",
|
||
|
"\\item 'gold'\n",
|
||
|
"\\item 'gold1'\n",
|
||
|
"\\item 'gold2'\n",
|
||
|
"\\item 'gold3'\n",
|
||
|
"\\item 'gold4'\n",
|
||
|
"\\item 'goldenrod'\n",
|
||
|
"\\item 'goldenrod1'\n",
|
||
|
"\\item 'goldenrod2'\n",
|
||
|
"\\item 'goldenrod3'\n",
|
||
|
"\\item 'goldenrod4'\n",
|
||
|
"\\item 'gray'\n",
|
||
|
"\\item 'gray0'\n",
|
||
|
"\\item 'gray1'\n",
|
||
|
"\\item 'gray2'\n",
|
||
|
"\\item 'gray3'\n",
|
||
|
"\\item 'gray4'\n",
|
||
|
"\\item 'gray5'\n",
|
||
|
"\\item 'gray6'\n",
|
||
|
"\\item 'gray7'\n",
|
||
|
"\\item 'gray8'\n",
|
||
|
"\\item 'gray9'\n",
|
||
|
"\\item 'gray10'\n",
|
||
|
"\\item 'gray11'\n",
|
||
|
"\\item 'gray12'\n",
|
||
|
"\\item 'gray13'\n",
|
||
|
"\\item 'gray14'\n",
|
||
|
"\\item 'gray15'\n",
|
||
|
"\\item 'gray16'\n",
|
||
|
"\\item 'gray17'\n",
|
||
|
"\\item 'gray18'\n",
|
||
|
"\\item 'gray19'\n",
|
||
|
"\\item 'gray20'\n",
|
||
|
"\\item 'gray21'\n",
|
||
|
"\\item 'gray22'\n",
|
||
|
"\\item 'gray23'\n",
|
||
|
"\\item 'gray24'\n",
|
||
|
"\\item 'gray25'\n",
|
||
|
"\\item 'gray26'\n",
|
||
|
"\\item 'gray27'\n",
|
||
|
"\\item 'gray28'\n",
|
||
|
"\\item 'gray29'\n",
|
||
|
"\\item 'gray30'\n",
|
||
|
"\\item 'gray31'\n",
|
||
|
"\\item 'gray32'\n",
|
||
|
"\\item 'gray33'\n",
|
||
|
"\\item 'gray34'\n",
|
||
|
"\\item 'gray35'\n",
|
||
|
"\\item 'gray36'\n",
|
||
|
"\\item 'gray37'\n",
|
||
|
"\\item 'gray38'\n",
|
||
|
"\\item 'gray39'\n",
|
||
|
"\\item 'gray40'\n",
|
||
|
"\\item 'gray41'\n",
|
||
|
"\\item 'gray42'\n",
|
||
|
"\\item 'gray43'\n",
|
||
|
"\\item 'gray44'\n",
|
||
|
"\\item 'gray45'\n",
|
||
|
"\\item 'gray46'\n",
|
||
|
"\\item 'gray47'\n",
|
||
|
"\\item ⋯\n",
|
||
|
"\\item 'maroon3'\n",
|
||
|
"\\item 'maroon4'\n",
|
||
|
"\\item 'mediumaquamarine'\n",
|
||
|
"\\item 'mediumblue'\n",
|
||
|
"\\item 'mediumorchid'\n",
|
||
|
"\\item 'mediumorchid1'\n",
|
||
|
"\\item 'mediumorchid2'\n",
|
||
|
"\\item 'mediumorchid3'\n",
|
||
|
"\\item 'mediumorchid4'\n",
|
||
|
"\\item 'mediumpurple'\n",
|
||
|
"\\item 'mediumpurple1'\n",
|
||
|
"\\item 'mediumpurple2'\n",
|
||
|
"\\item 'mediumpurple3'\n",
|
||
|
"\\item 'mediumpurple4'\n",
|
||
|
"\\item 'mediumseagreen'\n",
|
||
|
"\\item 'mediumslateblue'\n",
|
||
|
"\\item 'mediumspringgreen'\n",
|
||
|
"\\item 'mediumturquoise'\n",
|
||
|
"\\item 'mediumvioletred'\n",
|
||
|
"\\item 'midnightblue'\n",
|
||
|
"\\item 'mintcream'\n",
|
||
|
"\\item 'mistyrose'\n",
|
||
|
"\\item 'mistyrose1'\n",
|
||
|
"\\item 'mistyrose2'\n",
|
||
|
"\\item 'mistyrose3'\n",
|
||
|
"\\item 'mistyrose4'\n",
|
||
|
"\\item 'moccasin'\n",
|
||
|
"\\item 'navajowhite'\n",
|
||
|
"\\item 'navajowhite1'\n",
|
||
|
"\\item 'navajowhite2'\n",
|
||
|
"\\item 'navajowhite3'\n",
|
||
|
"\\item 'navajowhite4'\n",
|
||
|
"\\item 'navy'\n",
|
||
|
"\\item 'navyblue'\n",
|
||
|
"\\item 'oldlace'\n",
|
||
|
"\\item 'olivedrab'\n",
|
||
|
"\\item 'olivedrab1'\n",
|
||
|
"\\item 'olivedrab2'\n",
|
||
|
"\\item 'olivedrab3'\n",
|
||
|
"\\item 'olivedrab4'\n",
|
||
|
"\\item 'orange'\n",
|
||
|
"\\item 'orange1'\n",
|
||
|
"\\item 'orange2'\n",
|
||
|
"\\item 'orange3'\n",
|
||
|
"\\item 'orange4'\n",
|
||
|
"\\item 'orangered'\n",
|
||
|
"\\item 'orangered1'\n",
|
||
|
"\\item 'orangered2'\n",
|
||
|
"\\item 'orangered3'\n",
|
||
|
"\\item 'orangered4'\n",
|
||
|
"\\item 'orchid'\n",
|
||
|
"\\item 'orchid1'\n",
|
||
|
"\\item 'orchid2'\n",
|
||
|
"\\item 'orchid3'\n",
|
||
|
"\\item 'orchid4'\n",
|
||
|
"\\item 'palegoldenrod'\n",
|
||
|
"\\item 'palegreen'\n",
|
||
|
"\\item 'palegreen1'\n",
|
||
|
"\\item 'palegreen2'\n",
|
||
|
"\\item 'palegreen3'\n",
|
||
|
"\\item 'palegreen4'\n",
|
||
|
"\\item 'paleturquoise'\n",
|
||
|
"\\item 'paleturquoise1'\n",
|
||
|
"\\item 'paleturquoise2'\n",
|
||
|
"\\item 'paleturquoise3'\n",
|
||
|
"\\item 'paleturquoise4'\n",
|
||
|
"\\item 'palevioletred'\n",
|
||
|
"\\item 'palevioletred1'\n",
|
||
|
"\\item 'palevioletred2'\n",
|
||
|
"\\item 'palevioletred3'\n",
|
||
|
"\\item 'palevioletred4'\n",
|
||
|
"\\item 'papayawhip'\n",
|
||
|
"\\item 'peachpuff'\n",
|
||
|
"\\item 'peachpuff1'\n",
|
||
|
"\\item 'peachpuff2'\n",
|
||
|
"\\item 'peachpuff3'\n",
|
||
|
"\\item 'peachpuff4'\n",
|
||
|
"\\item 'peru'\n",
|
||
|
"\\item 'pink'\n",
|
||
|
"\\item 'pink1'\n",
|
||
|
"\\item 'pink2'\n",
|
||
|
"\\item 'pink3'\n",
|
||
|
"\\item 'pink4'\n",
|
||
|
"\\item 'plum'\n",
|
||
|
"\\item 'plum1'\n",
|
||
|
"\\item 'plum2'\n",
|
||
|
"\\item 'plum3'\n",
|
||
|
"\\item 'plum4'\n",
|
||
|
"\\item 'powderblue'\n",
|
||
|
"\\item 'purple'\n",
|
||
|
"\\item 'purple1'\n",
|
||
|
"\\item 'purple2'\n",
|
||
|
"\\item 'purple3'\n",
|
||
|
"\\item 'purple4'\n",
|
||
|
"\\item 'red'\n",
|
||
|
"\\item 'red1'\n",
|
||
|
"\\item 'red2'\n",
|
||
|
"\\item 'red3'\n",
|
||
|
"\\item 'red4'\n",
|
||
|
"\\item 'rosybrown'\n",
|
||
|
"\\item 'rosybrown1'\n",
|
||
|
"\\item 'rosybrown2'\n",
|
||
|
"\\item 'rosybrown3'\n",
|
||
|
"\\item 'rosybrown4'\n",
|
||
|
"\\item 'royalblue'\n",
|
||
|
"\\item 'royalblue1'\n",
|
||
|
"\\item 'royalblue2'\n",
|
||
|
"\\item 'royalblue3'\n",
|
||
|
"\\item 'royalblue4'\n",
|
||
|
"\\item 'saddlebrown'\n",
|
||
|
"\\item 'salmon'\n",
|
||
|
"\\item 'salmon1'\n",
|
||
|
"\\item 'salmon2'\n",
|
||
|
"\\item 'salmon3'\n",
|
||
|
"\\item 'salmon4'\n",
|
||
|
"\\item 'sandybrown'\n",
|
||
|
"\\item 'seagreen'\n",
|
||
|
"\\item 'seagreen1'\n",
|
||
|
"\\item 'seagreen2'\n",
|
||
|
"\\item 'seagreen3'\n",
|
||
|
"\\item 'seagreen4'\n",
|
||
|
"\\item 'seashell'\n",
|
||
|
"\\item 'seashell1'\n",
|
||
|
"\\item 'seashell2'\n",
|
||
|
"\\item 'seashell3'\n",
|
||
|
"\\item 'seashell4'\n",
|
||
|
"\\item 'sienna'\n",
|
||
|
"\\item 'sienna1'\n",
|
||
|
"\\item 'sienna2'\n",
|
||
|
"\\item 'sienna3'\n",
|
||
|
"\\item 'sienna4'\n",
|
||
|
"\\item 'skyblue'\n",
|
||
|
"\\item 'skyblue1'\n",
|
||
|
"\\item 'skyblue2'\n",
|
||
|
"\\item 'skyblue3'\n",
|
||
|
"\\item 'skyblue4'\n",
|
||
|
"\\item 'slateblue'\n",
|
||
|
"\\item 'slateblue1'\n",
|
||
|
"\\item 'slateblue2'\n",
|
||
|
"\\item 'slateblue3'\n",
|
||
|
"\\item 'slateblue4'\n",
|
||
|
"\\item 'slategray'\n",
|
||
|
"\\item 'slategray1'\n",
|
||
|
"\\item 'slategray2'\n",
|
||
|
"\\item 'slategray3'\n",
|
||
|
"\\item 'slategray4'\n",
|
||
|
"\\item 'slategrey'\n",
|
||
|
"\\item 'snow'\n",
|
||
|
"\\item 'snow1'\n",
|
||
|
"\\item 'snow2'\n",
|
||
|
"\\item 'snow3'\n",
|
||
|
"\\item 'snow4'\n",
|
||
|
"\\item 'springgreen'\n",
|
||
|
"\\item 'springgreen1'\n",
|
||
|
"\\item 'springgreen2'\n",
|
||
|
"\\item 'springgreen3'\n",
|
||
|
"\\item 'springgreen4'\n",
|
||
|
"\\item 'steelblue'\n",
|
||
|
"\\item 'steelblue1'\n",
|
||
|
"\\item 'steelblue2'\n",
|
||
|
"\\item 'steelblue3'\n",
|
||
|
"\\item 'steelblue4'\n",
|
||
|
"\\item 'tan'\n",
|
||
|
"\\item 'tan1'\n",
|
||
|
"\\item 'tan2'\n",
|
||
|
"\\item 'tan3'\n",
|
||
|
"\\item 'tan4'\n",
|
||
|
"\\item 'thistle'\n",
|
||
|
"\\item 'thistle1'\n",
|
||
|
"\\item 'thistle2'\n",
|
||
|
"\\item 'thistle3'\n",
|
||
|
"\\item 'thistle4'\n",
|
||
|
"\\item 'tomato'\n",
|
||
|
"\\item 'tomato1'\n",
|
||
|
"\\item 'tomato2'\n",
|
||
|
"\\item 'tomato3'\n",
|
||
|
"\\item 'tomato4'\n",
|
||
|
"\\item 'turquoise'\n",
|
||
|
"\\item 'turquoise1'\n",
|
||
|
"\\item 'turquoise2'\n",
|
||
|
"\\item 'turquoise3'\n",
|
||
|
"\\item 'turquoise4'\n",
|
||
|
"\\item 'violet'\n",
|
||
|
"\\item 'violetred'\n",
|
||
|
"\\item 'violetred1'\n",
|
||
|
"\\item 'violetred2'\n",
|
||
|
"\\item 'violetred3'\n",
|
||
|
"\\item 'violetred4'\n",
|
||
|
"\\item 'wheat'\n",
|
||
|
"\\item 'wheat1'\n",
|
||
|
"\\item 'wheat2'\n",
|
||
|
"\\item 'wheat3'\n",
|
||
|
"\\item 'wheat4'\n",
|
||
|
"\\item 'whitesmoke'\n",
|
||
|
"\\item 'yellow'\n",
|
||
|
"\\item 'yellow1'\n",
|
||
|
"\\item 'yellow2'\n",
|
||
|
"\\item 'yellow3'\n",
|
||
|
"\\item 'yellow4'\n",
|
||
|
"\\item 'yellowgreen'\n",
|
||
|
"\\end{enumerate*}\n"
|
||
|
],
|
||
|
"text/markdown": [
|
||
|
"1. 'white'\n",
|
||
|
"2. 'aliceblue'\n",
|
||
|
"3. 'antiquewhite'\n",
|
||
|
"4. 'antiquewhite1'\n",
|
||
|
"5. 'antiquewhite2'\n",
|
||
|
"6. 'antiquewhite3'\n",
|
||
|
"7. 'antiquewhite4'\n",
|
||
|
"8. 'aquamarine'\n",
|
||
|
"9. 'aquamarine1'\n",
|
||
|
"10. 'aquamarine2'\n",
|
||
|
"11. 'aquamarine3'\n",
|
||
|
"12. 'aquamarine4'\n",
|
||
|
"13. 'azure'\n",
|
||
|
"14. 'azure1'\n",
|
||
|
"15. 'azure2'\n",
|
||
|
"16. 'azure3'\n",
|
||
|
"17. 'azure4'\n",
|
||
|
"18. 'beige'\n",
|
||
|
"19. 'bisque'\n",
|
||
|
"20. 'bisque1'\n",
|
||
|
"21. 'bisque2'\n",
|
||
|
"22. 'bisque3'\n",
|
||
|
"23. 'bisque4'\n",
|
||
|
"24. 'black'\n",
|
||
|
"25. 'blanchedalmond'\n",
|
||
|
"26. 'blue'\n",
|
||
|
"27. 'blue1'\n",
|
||
|
"28. 'blue2'\n",
|
||
|
"29. 'blue3'\n",
|
||
|
"30. 'blue4'\n",
|
||
|
"31. 'blueviolet'\n",
|
||
|
"32. 'brown'\n",
|
||
|
"33. 'brown1'\n",
|
||
|
"34. 'brown2'\n",
|
||
|
"35. 'brown3'\n",
|
||
|
"36. 'brown4'\n",
|
||
|
"37. 'burlywood'\n",
|
||
|
"38. 'burlywood1'\n",
|
||
|
"39. 'burlywood2'\n",
|
||
|
"40. 'burlywood3'\n",
|
||
|
"41. 'burlywood4'\n",
|
||
|
"42. 'cadetblue'\n",
|
||
|
"43. 'cadetblue1'\n",
|
||
|
"44. 'cadetblue2'\n",
|
||
|
"45. 'cadetblue3'\n",
|
||
|
"46. 'cadetblue4'\n",
|
||
|
"47. 'chartreuse'\n",
|
||
|
"48. 'chartreuse1'\n",
|
||
|
"49. 'chartreuse2'\n",
|
||
|
"50. 'chartreuse3'\n",
|
||
|
"51. 'chartreuse4'\n",
|
||
|
"52. 'chocolate'\n",
|
||
|
"53. 'chocolate1'\n",
|
||
|
"54. 'chocolate2'\n",
|
||
|
"55. 'chocolate3'\n",
|
||
|
"56. 'chocolate4'\n",
|
||
|
"57. 'coral'\n",
|
||
|
"58. 'coral1'\n",
|
||
|
"59. 'coral2'\n",
|
||
|
"60. 'coral3'\n",
|
||
|
"61. 'coral4'\n",
|
||
|
"62. 'cornflowerblue'\n",
|
||
|
"63. 'cornsilk'\n",
|
||
|
"64. 'cornsilk1'\n",
|
||
|
"65. 'cornsilk2'\n",
|
||
|
"66. 'cornsilk3'\n",
|
||
|
"67. 'cornsilk4'\n",
|
||
|
"68. 'cyan'\n",
|
||
|
"69. 'cyan1'\n",
|
||
|
"70. 'cyan2'\n",
|
||
|
"71. 'cyan3'\n",
|
||
|
"72. 'cyan4'\n",
|
||
|
"73. 'darkblue'\n",
|
||
|
"74. 'darkcyan'\n",
|
||
|
"75. 'darkgoldenrod'\n",
|
||
|
"76. 'darkgoldenrod1'\n",
|
||
|
"77. 'darkgoldenrod2'\n",
|
||
|
"78. 'darkgoldenrod3'\n",
|
||
|
"79. 'darkgoldenrod4'\n",
|
||
|
"80. 'darkgray'\n",
|
||
|
"81. 'darkgreen'\n",
|
||
|
"82. 'darkgrey'\n",
|
||
|
"83. 'darkkhaki'\n",
|
||
|
"84. 'darkmagenta'\n",
|
||
|
"85. 'darkolivegreen'\n",
|
||
|
"86. 'darkolivegreen1'\n",
|
||
|
"87. 'darkolivegreen2'\n",
|
||
|
"88. 'darkolivegreen3'\n",
|
||
|
"89. 'darkolivegreen4'\n",
|
||
|
"90. 'darkorange'\n",
|
||
|
"91. 'darkorange1'\n",
|
||
|
"92. 'darkorange2'\n",
|
||
|
"93. 'darkorange3'\n",
|
||
|
"94. 'darkorange4'\n",
|
||
|
"95. 'darkorchid'\n",
|
||
|
"96. 'darkorchid1'\n",
|
||
|
"97. 'darkorchid2'\n",
|
||
|
"98. 'darkorchid3'\n",
|
||
|
"99. 'darkorchid4'\n",
|
||
|
"100. 'darkred'\n",
|
||
|
"101. 'darksalmon'\n",
|
||
|
"102. 'darkseagreen'\n",
|
||
|
"103. 'darkseagreen1'\n",
|
||
|
"104. 'darkseagreen2'\n",
|
||
|
"105. 'darkseagreen3'\n",
|
||
|
"106. 'darkseagreen4'\n",
|
||
|
"107. 'darkslateblue'\n",
|
||
|
"108. 'darkslategray'\n",
|
||
|
"109. 'darkslategray1'\n",
|
||
|
"110. 'darkslategray2'\n",
|
||
|
"111. 'darkslategray3'\n",
|
||
|
"112. 'darkslategray4'\n",
|
||
|
"113. 'darkslategrey'\n",
|
||
|
"114. 'darkturquoise'\n",
|
||
|
"115. 'darkviolet'\n",
|
||
|
"116. 'deeppink'\n",
|
||
|
"117. 'deeppink1'\n",
|
||
|
"118. 'deeppink2'\n",
|
||
|
"119. 'deeppink3'\n",
|
||
|
"120. 'deeppink4'\n",
|
||
|
"121. 'deepskyblue'\n",
|
||
|
"122. 'deepskyblue1'\n",
|
||
|
"123. 'deepskyblue2'\n",
|
||
|
"124. 'deepskyblue3'\n",
|
||
|
"125. 'deepskyblue4'\n",
|
||
|
"126. 'dimgray'\n",
|
||
|
"127. 'dimgrey'\n",
|
||
|
"128. 'dodgerblue'\n",
|
||
|
"129. 'dodgerblue1'\n",
|
||
|
"130. 'dodgerblue2'\n",
|
||
|
"131. 'dodgerblue3'\n",
|
||
|
"132. 'dodgerblue4'\n",
|
||
|
"133. 'firebrick'\n",
|
||
|
"134. 'firebrick1'\n",
|
||
|
"135. 'firebrick2'\n",
|
||
|
"136. 'firebrick3'\n",
|
||
|
"137. 'firebrick4'\n",
|
||
|
"138. 'floralwhite'\n",
|
||
|
"139. 'forestgreen'\n",
|
||
|
"140. 'gainsboro'\n",
|
||
|
"141. 'ghostwhite'\n",
|
||
|
"142. 'gold'\n",
|
||
|
"143. 'gold1'\n",
|
||
|
"144. 'gold2'\n",
|
||
|
"145. 'gold3'\n",
|
||
|
"146. 'gold4'\n",
|
||
|
"147. 'goldenrod'\n",
|
||
|
"148. 'goldenrod1'\n",
|
||
|
"149. 'goldenrod2'\n",
|
||
|
"150. 'goldenrod3'\n",
|
||
|
"151. 'goldenrod4'\n",
|
||
|
"152. 'gray'\n",
|
||
|
"153. 'gray0'\n",
|
||
|
"154. 'gray1'\n",
|
||
|
"155. 'gray2'\n",
|
||
|
"156. 'gray3'\n",
|
||
|
"157. 'gray4'\n",
|
||
|
"158. 'gray5'\n",
|
||
|
"159. 'gray6'\n",
|
||
|
"160. 'gray7'\n",
|
||
|
"161. 'gray8'\n",
|
||
|
"162. 'gray9'\n",
|
||
|
"163. 'gray10'\n",
|
||
|
"164. 'gray11'\n",
|
||
|
"165. 'gray12'\n",
|
||
|
"166. 'gray13'\n",
|
||
|
"167. 'gray14'\n",
|
||
|
"168. 'gray15'\n",
|
||
|
"169. 'gray16'\n",
|
||
|
"170. 'gray17'\n",
|
||
|
"171. 'gray18'\n",
|
||
|
"172. 'gray19'\n",
|
||
|
"173. 'gray20'\n",
|
||
|
"174. 'gray21'\n",
|
||
|
"175. 'gray22'\n",
|
||
|
"176. 'gray23'\n",
|
||
|
"177. 'gray24'\n",
|
||
|
"178. 'gray25'\n",
|
||
|
"179. 'gray26'\n",
|
||
|
"180. 'gray27'\n",
|
||
|
"181. 'gray28'\n",
|
||
|
"182. 'gray29'\n",
|
||
|
"183. 'gray30'\n",
|
||
|
"184. 'gray31'\n",
|
||
|
"185. 'gray32'\n",
|
||
|
"186. 'gray33'\n",
|
||
|
"187. 'gray34'\n",
|
||
|
"188. 'gray35'\n",
|
||
|
"189. 'gray36'\n",
|
||
|
"190. 'gray37'\n",
|
||
|
"191. 'gray38'\n",
|
||
|
"192. 'gray39'\n",
|
||
|
"193. 'gray40'\n",
|
||
|
"194. 'gray41'\n",
|
||
|
"195. 'gray42'\n",
|
||
|
"196. 'gray43'\n",
|
||
|
"197. 'gray44'\n",
|
||
|
"198. 'gray45'\n",
|
||
|
"199. 'gray46'\n",
|
||
|
"200. 'gray47'\n",
|
||
|
"201. ⋯\n",
|
||
|
"202. 'maroon3'\n",
|
||
|
"203. 'maroon4'\n",
|
||
|
"204. 'mediumaquamarine'\n",
|
||
|
"205. 'mediumblue'\n",
|
||
|
"206. 'mediumorchid'\n",
|
||
|
"207. 'mediumorchid1'\n",
|
||
|
"208. 'mediumorchid2'\n",
|
||
|
"209. 'mediumorchid3'\n",
|
||
|
"210. 'mediumorchid4'\n",
|
||
|
"211. 'mediumpurple'\n",
|
||
|
"212. 'mediumpurple1'\n",
|
||
|
"213. 'mediumpurple2'\n",
|
||
|
"214. 'mediumpurple3'\n",
|
||
|
"215. 'mediumpurple4'\n",
|
||
|
"216. 'mediumseagreen'\n",
|
||
|
"217. 'mediumslateblue'\n",
|
||
|
"218. 'mediumspringgreen'\n",
|
||
|
"219. 'mediumturquoise'\n",
|
||
|
"220. 'mediumvioletred'\n",
|
||
|
"221. 'midnightblue'\n",
|
||
|
"222. 'mintcream'\n",
|
||
|
"223. 'mistyrose'\n",
|
||
|
"224. 'mistyrose1'\n",
|
||
|
"225. 'mistyrose2'\n",
|
||
|
"226. 'mistyrose3'\n",
|
||
|
"227. 'mistyrose4'\n",
|
||
|
"228. 'moccasin'\n",
|
||
|
"229. 'navajowhite'\n",
|
||
|
"230. 'navajowhite1'\n",
|
||
|
"231. 'navajowhite2'\n",
|
||
|
"232. 'navajowhite3'\n",
|
||
|
"233. 'navajowhite4'\n",
|
||
|
"234. 'navy'\n",
|
||
|
"235. 'navyblue'\n",
|
||
|
"236. 'oldlace'\n",
|
||
|
"237. 'olivedrab'\n",
|
||
|
"238. 'olivedrab1'\n",
|
||
|
"239. 'olivedrab2'\n",
|
||
|
"240. 'olivedrab3'\n",
|
||
|
"241. 'olivedrab4'\n",
|
||
|
"242. 'orange'\n",
|
||
|
"243. 'orange1'\n",
|
||
|
"244. 'orange2'\n",
|
||
|
"245. 'orange3'\n",
|
||
|
"246. 'orange4'\n",
|
||
|
"247. 'orangered'\n",
|
||
|
"248. 'orangered1'\n",
|
||
|
"249. 'orangered2'\n",
|
||
|
"250. 'orangered3'\n",
|
||
|
"251. 'orangered4'\n",
|
||
|
"252. 'orchid'\n",
|
||
|
"253. 'orchid1'\n",
|
||
|
"254. 'orchid2'\n",
|
||
|
"255. 'orchid3'\n",
|
||
|
"256. 'orchid4'\n",
|
||
|
"257. 'palegoldenrod'\n",
|
||
|
"258. 'palegreen'\n",
|
||
|
"259. 'palegreen1'\n",
|
||
|
"260. 'palegreen2'\n",
|
||
|
"261. 'palegreen3'\n",
|
||
|
"262. 'palegreen4'\n",
|
||
|
"263. 'paleturquoise'\n",
|
||
|
"264. 'paleturquoise1'\n",
|
||
|
"265. 'paleturquoise2'\n",
|
||
|
"266. 'paleturquoise3'\n",
|
||
|
"267. 'paleturquoise4'\n",
|
||
|
"268. 'palevioletred'\n",
|
||
|
"269. 'palevioletred1'\n",
|
||
|
"270. 'palevioletred2'\n",
|
||
|
"271. 'palevioletred3'\n",
|
||
|
"272. 'palevioletred4'\n",
|
||
|
"273. 'papayawhip'\n",
|
||
|
"274. 'peachpuff'\n",
|
||
|
"275. 'peachpuff1'\n",
|
||
|
"276. 'peachpuff2'\n",
|
||
|
"277. 'peachpuff3'\n",
|
||
|
"278. 'peachpuff4'\n",
|
||
|
"279. 'peru'\n",
|
||
|
"280. 'pink'\n",
|
||
|
"281. 'pink1'\n",
|
||
|
"282. 'pink2'\n",
|
||
|
"283. 'pink3'\n",
|
||
|
"284. 'pink4'\n",
|
||
|
"285. 'plum'\n",
|
||
|
"286. 'plum1'\n",
|
||
|
"287. 'plum2'\n",
|
||
|
"288. 'plum3'\n",
|
||
|
"289. 'plum4'\n",
|
||
|
"290. 'powderblue'\n",
|
||
|
"291. 'purple'\n",
|
||
|
"292. 'purple1'\n",
|
||
|
"293. 'purple2'\n",
|
||
|
"294. 'purple3'\n",
|
||
|
"295. 'purple4'\n",
|
||
|
"296. 'red'\n",
|
||
|
"297. 'red1'\n",
|
||
|
"298. 'red2'\n",
|
||
|
"299. 'red3'\n",
|
||
|
"300. 'red4'\n",
|
||
|
"301. 'rosybrown'\n",
|
||
|
"302. 'rosybrown1'\n",
|
||
|
"303. 'rosybrown2'\n",
|
||
|
"304. 'rosybrown3'\n",
|
||
|
"305. 'rosybrown4'\n",
|
||
|
"306. 'royalblue'\n",
|
||
|
"307. 'royalblue1'\n",
|
||
|
"308. 'royalblue2'\n",
|
||
|
"309. 'royalblue3'\n",
|
||
|
"310. 'royalblue4'\n",
|
||
|
"311. 'saddlebrown'\n",
|
||
|
"312. 'salmon'\n",
|
||
|
"313. 'salmon1'\n",
|
||
|
"314. 'salmon2'\n",
|
||
|
"315. 'salmon3'\n",
|
||
|
"316. 'salmon4'\n",
|
||
|
"317. 'sandybrown'\n",
|
||
|
"318. 'seagreen'\n",
|
||
|
"319. 'seagreen1'\n",
|
||
|
"320. 'seagreen2'\n",
|
||
|
"321. 'seagreen3'\n",
|
||
|
"322. 'seagreen4'\n",
|
||
|
"323. 'seashell'\n",
|
||
|
"324. 'seashell1'\n",
|
||
|
"325. 'seashell2'\n",
|
||
|
"326. 'seashell3'\n",
|
||
|
"327. 'seashell4'\n",
|
||
|
"328. 'sienna'\n",
|
||
|
"329. 'sienna1'\n",
|
||
|
"330. 'sienna2'\n",
|
||
|
"331. 'sienna3'\n",
|
||
|
"332. 'sienna4'\n",
|
||
|
"333. 'skyblue'\n",
|
||
|
"334. 'skyblue1'\n",
|
||
|
"335. 'skyblue2'\n",
|
||
|
"336. 'skyblue3'\n",
|
||
|
"337. 'skyblue4'\n",
|
||
|
"338. 'slateblue'\n",
|
||
|
"339. 'slateblue1'\n",
|
||
|
"340. 'slateblue2'\n",
|
||
|
"341. 'slateblue3'\n",
|
||
|
"342. 'slateblue4'\n",
|
||
|
"343. 'slategray'\n",
|
||
|
"344. 'slategray1'\n",
|
||
|
"345. 'slategray2'\n",
|
||
|
"346. 'slategray3'\n",
|
||
|
"347. 'slategray4'\n",
|
||
|
"348. 'slategrey'\n",
|
||
|
"349. 'snow'\n",
|
||
|
"350. 'snow1'\n",
|
||
|
"351. 'snow2'\n",
|
||
|
"352. 'snow3'\n",
|
||
|
"353. 'snow4'\n",
|
||
|
"354. 'springgreen'\n",
|
||
|
"355. 'springgreen1'\n",
|
||
|
"356. 'springgreen2'\n",
|
||
|
"357. 'springgreen3'\n",
|
||
|
"358. 'springgreen4'\n",
|
||
|
"359. 'steelblue'\n",
|
||
|
"360. 'steelblue1'\n",
|
||
|
"361. 'steelblue2'\n",
|
||
|
"362. 'steelblue3'\n",
|
||
|
"363. 'steelblue4'\n",
|
||
|
"364. 'tan'\n",
|
||
|
"365. 'tan1'\n",
|
||
|
"366. 'tan2'\n",
|
||
|
"367. 'tan3'\n",
|
||
|
"368. 'tan4'\n",
|
||
|
"369. 'thistle'\n",
|
||
|
"370. 'thistle1'\n",
|
||
|
"371. 'thistle2'\n",
|
||
|
"372. 'thistle3'\n",
|
||
|
"373. 'thistle4'\n",
|
||
|
"374. 'tomato'\n",
|
||
|
"375. 'tomato1'\n",
|
||
|
"376. 'tomato2'\n",
|
||
|
"377. 'tomato3'\n",
|
||
|
"378. 'tomato4'\n",
|
||
|
"379. 'turquoise'\n",
|
||
|
"380. 'turquoise1'\n",
|
||
|
"381. 'turquoise2'\n",
|
||
|
"382. 'turquoise3'\n",
|
||
|
"383. 'turquoise4'\n",
|
||
|
"384. 'violet'\n",
|
||
|
"385. 'violetred'\n",
|
||
|
"386. 'violetred1'\n",
|
||
|
"387. 'violetred2'\n",
|
||
|
"388. 'violetred3'\n",
|
||
|
"389. 'violetred4'\n",
|
||
|
"390. 'wheat'\n",
|
||
|
"391. 'wheat1'\n",
|
||
|
"392. 'wheat2'\n",
|
||
|
"393. 'wheat3'\n",
|
||
|
"394. 'wheat4'\n",
|
||
|
"395. 'whitesmoke'\n",
|
||
|
"396. 'yellow'\n",
|
||
|
"397. 'yellow1'\n",
|
||
|
"398. 'yellow2'\n",
|
||
|
"399. 'yellow3'\n",
|
||
|
"400. 'yellow4'\n",
|
||
|
"401. 'yellowgreen'\n",
|
||
|
"\n",
|
||
|
"\n"
|
||
|
],
|
||
|
"text/plain": [
|
||
|
" [1] \"white\" \"aliceblue\" \"antiquewhite\" \n",
|
||
|
" [4] \"antiquewhite1\" \"antiquewhite2\" \"antiquewhite3\" \n",
|
||
|
" [7] \"antiquewhite4\" \"aquamarine\" \"aquamarine1\" \n",
|
||
|
" [10] \"aquamarine2\" \"aquamarine3\" \"aquamarine4\" \n",
|
||
|
" [13] \"azure\" \"azure1\" \"azure2\" \n",
|
||
|
" [16] \"azure3\" \"azure4\" \"beige\" \n",
|
||
|
" [19] \"bisque\" \"bisque1\" \"bisque2\" \n",
|
||
|
" [22] \"bisque3\" \"bisque4\" \"black\" \n",
|
||
|
" [25] \"blanchedalmond\" \"blue\" \"blue1\" \n",
|
||
|
" [28] \"blue2\" \"blue3\" \"blue4\" \n",
|
||
|
" [31] \"blueviolet\" \"brown\" \"brown1\" \n",
|
||
|
" [34] \"brown2\" \"brown3\" \"brown4\" \n",
|
||
|
" [37] \"burlywood\" \"burlywood1\" \"burlywood2\" \n",
|
||
|
" [40] \"burlywood3\" \"burlywood4\" \"cadetblue\" \n",
|
||
|
" [43] \"cadetblue1\" \"cadetblue2\" \"cadetblue3\" \n",
|
||
|
" [46] \"cadetblue4\" \"chartreuse\" \"chartreuse1\" \n",
|
||
|
" [49] \"chartreuse2\" \"chartreuse3\" \"chartreuse4\" \n",
|
||
|
" [52] \"chocolate\" \"chocolate1\" \"chocolate2\" \n",
|
||
|
" [55] \"chocolate3\" \"chocolate4\" \"coral\" \n",
|
||
|
" [58] \"coral1\" \"coral2\" \"coral3\" \n",
|
||
|
" [61] \"coral4\" \"cornflowerblue\" \"cornsilk\" \n",
|
||
|
" [64] \"cornsilk1\" \"cornsilk2\" \"cornsilk3\" \n",
|
||
|
" [67] \"cornsilk4\" \"cyan\" \"cyan1\" \n",
|
||
|
" [70] \"cyan2\" \"cyan3\" \"cyan4\" \n",
|
||
|
" [73] \"darkblue\" \"darkcyan\" \"darkgoldenrod\" \n",
|
||
|
" [76] \"darkgoldenrod1\" \"darkgoldenrod2\" \"darkgoldenrod3\" \n",
|
||
|
" [79] \"darkgoldenrod4\" \"darkgray\" \"darkgreen\" \n",
|
||
|
" [82] \"darkgrey\" \"darkkhaki\" \"darkmagenta\" \n",
|
||
|
" [85] \"darkolivegreen\" \"darkolivegreen1\" \"darkolivegreen2\" \n",
|
||
|
" [88] \"darkolivegreen3\" \"darkolivegreen4\" \"darkorange\" \n",
|
||
|
" [91] \"darkorange1\" \"darkorange2\" \"darkorange3\" \n",
|
||
|
" [94] \"darkorange4\" \"darkorchid\" \"darkorchid1\" \n",
|
||
|
" [97] \"darkorchid2\" \"darkorchid3\" \"darkorchid4\" \n",
|
||
|
"[100] \"darkred\" \"darksalmon\" \"darkseagreen\" \n",
|
||
|
"[103] \"darkseagreen1\" \"darkseagreen2\" \"darkseagreen3\" \n",
|
||
|
"[106] \"darkseagreen4\" \"darkslateblue\" \"darkslategray\" \n",
|
||
|
"[109] \"darkslategray1\" \"darkslategray2\" \"darkslategray3\" \n",
|
||
|
"[112] \"darkslategray4\" \"darkslategrey\" \"darkturquoise\" \n",
|
||
|
"[115] \"darkviolet\" \"deeppink\" \"deeppink1\" \n",
|
||
|
"[118] \"deeppink2\" \"deeppink3\" \"deeppink4\" \n",
|
||
|
"[121] \"deepskyblue\" \"deepskyblue1\" \"deepskyblue2\" \n",
|
||
|
"[124] \"deepskyblue3\" \"deepskyblue4\" \"dimgray\" \n",
|
||
|
"[127] \"dimgrey\" \"dodgerblue\" \"dodgerblue1\" \n",
|
||
|
"[130] \"dodgerblue2\" \"dodgerblue3\" \"dodgerblue4\" \n",
|
||
|
"[133] \"firebrick\" \"firebrick1\" \"firebrick2\" \n",
|
||
|
"[136] \"firebrick3\" \"firebrick4\" \"floralwhite\" \n",
|
||
|
"[139] \"forestgreen\" \"gainsboro\" \"ghostwhite\" \n",
|
||
|
"[142] \"gold\" \"gold1\" \"gold2\" \n",
|
||
|
"[145] \"gold3\" \"gold4\" \"goldenrod\" \n",
|
||
|
"[148] \"goldenrod1\" \"goldenrod2\" \"goldenrod3\" \n",
|
||
|
"[151] \"goldenrod4\" \"gray\" \"gray0\" \n",
|
||
|
"[154] \"gray1\" \"gray2\" \"gray3\" \n",
|
||
|
"[157] \"gray4\" \"gray5\" \"gray6\" \n",
|
||
|
"[160] \"gray7\" \"gray8\" \"gray9\" \n",
|
||
|
"[163] \"gray10\" \"gray11\" \"gray12\" \n",
|
||
|
"[166] \"gray13\" \"gray14\" \"gray15\" \n",
|
||
|
"[169] \"gray16\" \"gray17\" \"gray18\" \n",
|
||
|
"[172] \"gray19\" \"gray20\" \"gray21\" \n",
|
||
|
"[175] \"gray22\" \"gray23\" \"gray24\" \n",
|
||
|
"[178] \"gray25\" \"gray26\" \"gray27\" \n",
|
||
|
"[181] \"gray28\" \"gray29\" \"gray30\" \n",
|
||
|
"[184] \"gray31\" \"gray32\" \"gray33\" \n",
|
||
|
"[187] \"gray34\" \"gray35\" \"gray36\" \n",
|
||
|
"[190] \"gray37\" \"gray38\" \"gray39\" \n",
|
||
|
"[193] \"gray40\" \"gray41\" \"gray42\" \n",
|
||
|
"[196] \"gray43\" \"gray44\" \"gray45\" \n",
|
||
|
"[199] \"gray46\" \"gray47\" \"gray48\" \n",
|
||
|
"[202] \"gray49\" \"gray50\" \"gray51\" \n",
|
||
|
"[205] \"gray52\" \"gray53\" \"gray54\" \n",
|
||
|
"[208] \"gray55\" \"gray56\" \"gray57\" \n",
|
||
|
"[211] \"gray58\" \"gray59\" \"gray60\" \n",
|
||
|
"[214] \"gray61\" \"gray62\" \"gray63\" \n",
|
||
|
"[217] \"gray64\" \"gray65\" \"gray66\" \n",
|
||
|
"[220] \"gray67\" \"gray68\" \"gray69\" \n",
|
||
|
"[223] \"gray70\" \"gray71\" \"gray72\" \n",
|
||
|
"[226] \"gray73\" \"gray74\" \"gray75\" \n",
|
||
|
"[229] \"gray76\" \"gray77\" \"gray78\" \n",
|
||
|
"[232] \"gray79\" \"gray80\" \"gray81\" \n",
|
||
|
"[235] \"gray82\" \"gray83\" \"gray84\" \n",
|
||
|
"[238] \"gray85\" \"gray86\" \"gray87\" \n",
|
||
|
"[241] \"gray88\" \"gray89\" \"gray90\" \n",
|
||
|
"[244] \"gray91\" \"gray92\" \"gray93\" \n",
|
||
|
"[247] \"gray94\" \"gray95\" \"gray96\" \n",
|
||
|
"[250] \"gray97\" \"gray98\" \"gray99\" \n",
|
||
|
"[253] \"gray100\" \"green\" \"green1\" \n",
|
||
|
"[256] \"green2\" \"green3\" \"green4\" \n",
|
||
|
"[259] \"greenyellow\" \"grey\" \"grey0\" \n",
|
||
|
"[262] \"grey1\" \"grey2\" \"grey3\" \n",
|
||
|
"[265] \"grey4\" \"grey5\" \"grey6\" \n",
|
||
|
"[268] \"grey7\" \"grey8\" \"grey9\" \n",
|
||
|
"[271] \"grey10\" \"grey11\" \"grey12\" \n",
|
||
|
"[274] \"grey13\" \"grey14\" \"grey15\" \n",
|
||
|
"[277] \"grey16\" \"grey17\" \"grey18\" \n",
|
||
|
"[280] \"grey19\" \"grey20\" \"grey21\" \n",
|
||
|
"[283] \"grey22\" \"grey23\" \"grey24\" \n",
|
||
|
"[286] \"grey25\" \"grey26\" \"grey27\" \n",
|
||
|
"[289] \"grey28\" \"grey29\" \"grey30\" \n",
|
||
|
"[292] \"grey31\" \"grey32\" \"grey33\" \n",
|
||
|
"[295] \"grey34\" \"grey35\" \"grey36\" \n",
|
||
|
"[298] \"grey37\" \"grey38\" \"grey39\" \n",
|
||
|
"[301] \"grey40\" \"grey41\" \"grey42\" \n",
|
||
|
"[304] \"grey43\" \"grey44\" \"grey45\" \n",
|
||
|
"[307] \"grey46\" \"grey47\" \"grey48\" \n",
|
||
|
"[310] \"grey49\" \"grey50\" \"grey51\" \n",
|
||
|
"[313] \"grey52\" \"grey53\" \"grey54\" \n",
|
||
|
"[316] \"grey55\" \"grey56\" \"grey57\" \n",
|
||
|
"[319] \"grey58\" \"grey59\" \"grey60\" \n",
|
||
|
"[322] \"grey61\" \"grey62\" \"grey63\" \n",
|
||
|
"[325] \"grey64\" \"grey65\" \"grey66\" \n",
|
||
|
"[328] \"grey67\" \"grey68\" \"grey69\" \n",
|
||
|
"[331] \"grey70\" \"grey71\" \"grey72\" \n",
|
||
|
"[334] \"grey73\" \"grey74\" \"grey75\" \n",
|
||
|
"[337] \"grey76\" \"grey77\" \"grey78\" \n",
|
||
|
"[340] \"grey79\" \"grey80\" \"grey81\" \n",
|
||
|
"[343] \"grey82\" \"grey83\" \"grey84\" \n",
|
||
|
"[346] \"grey85\" \"grey86\" \"grey87\" \n",
|
||
|
"[349] \"grey88\" \"grey89\" \"grey90\" \n",
|
||
|
"[352] \"grey91\" \"grey92\" \"grey93\" \n",
|
||
|
"[355] \"grey94\" \"grey95\" \"grey96\" \n",
|
||
|
"[358] \"grey97\" \"grey98\" \"grey99\" \n",
|
||
|
"[361] \"grey100\" \"honeydew\" \"honeydew1\" \n",
|
||
|
"[364] \"honeydew2\" \"honeydew3\" \"honeydew4\" \n",
|
||
|
"[367] \"hotpink\" \"hotpink1\" \"hotpink2\" \n",
|
||
|
"[370] \"hotpink3\" \"hotpink4\" \"indianred\" \n",
|
||
|
"[373] \"indianred1\" \"indianred2\" \"indianred3\" \n",
|
||
|
"[376] \"indianred4\" \"ivory\" \"ivory1\" \n",
|
||
|
"[379] \"ivory2\" \"ivory3\" \"ivory4\" \n",
|
||
|
"[382] \"khaki\" \"khaki1\" \"khaki2\" \n",
|
||
|
"[385] \"khaki3\" \"khaki4\" \"lavender\" \n",
|
||
|
"[388] \"lavenderblush\" \"lavenderblush1\" \"lavenderblush2\" \n",
|
||
|
"[391] \"lavenderblush3\" \"lavenderblush4\" \"lawngreen\" \n",
|
||
|
"[394] \"lemonchiffon\" \"lemonchiffon1\" \"lemonchiffon2\" \n",
|
||
|
"[397] \"lemonchiffon3\" \"lemonchiffon4\" \"lightblue\" \n",
|
||
|
"[400] \"lightblue1\" \"lightblue2\" \"lightblue3\" \n",
|
||
|
"[403] \"lightblue4\" \"lightcoral\" \"lightcyan\" \n",
|
||
|
"[406] \"lightcyan1\" \"lightcyan2\" \"lightcyan3\" \n",
|
||
|
"[409] \"lightcyan4\" \"lightgoldenrod\" \"lightgoldenrod1\" \n",
|
||
|
"[412] \"lightgoldenrod2\" \"lightgoldenrod3\" \"lightgoldenrod4\" \n",
|
||
|
"[415] \"lightgoldenrodyellow\" \"lightgray\" \"lightgreen\" \n",
|
||
|
"[418] \"lightgrey\" \"lightpink\" \"lightpink1\" \n",
|
||
|
"[421] \"lightpink2\" \"lightpink3\" \"lightpink4\" \n",
|
||
|
"[424] \"lightsalmon\" \"lightsalmon1\" \"lightsalmon2\" \n",
|
||
|
"[427] \"lightsalmon3\" \"lightsalmon4\" \"lightseagreen\" \n",
|
||
|
"[430] \"lightskyblue\" \"lightskyblue1\" \"lightskyblue2\" \n",
|
||
|
"[433] \"lightskyblue3\" \"lightskyblue4\" \"lightslateblue\" \n",
|
||
|
"[436] \"lightslategray\" \"lightslategrey\" \"lightsteelblue\" \n",
|
||
|
"[439] \"lightsteelblue1\" \"lightsteelblue2\" \"lightsteelblue3\" \n",
|
||
|
"[442] \"lightsteelblue4\" \"lightyellow\" \"lightyellow1\" \n",
|
||
|
"[445] \"lightyellow2\" \"lightyellow3\" \"lightyellow4\" \n",
|
||
|
"[448] \"limegreen\" \"linen\" \"magenta\" \n",
|
||
|
"[451] \"magenta1\" \"magenta2\" \"magenta3\" \n",
|
||
|
"[454] \"magenta4\" \"maroon\" \"maroon1\" \n",
|
||
|
"[457] \"maroon2\" \"maroon3\" \"maroon4\" \n",
|
||
|
"[460] \"mediumaquamarine\" \"mediumblue\" \"mediumorchid\" \n",
|
||
|
"[463] \"mediumorchid1\" \"mediumorchid2\" \"mediumorchid3\" \n",
|
||
|
"[466] \"mediumorchid4\" \"mediumpurple\" \"mediumpurple1\" \n",
|
||
|
"[469] \"mediumpurple2\" \"mediumpurple3\" \"mediumpurple4\" \n",
|
||
|
"[472] \"mediumseagreen\" \"mediumslateblue\" \"mediumspringgreen\" \n",
|
||
|
"[475] \"mediumturquoise\" \"mediumvioletred\" \"midnightblue\" \n",
|
||
|
"[478] \"mintcream\" \"mistyrose\" \"mistyrose1\" \n",
|
||
|
"[481] \"mistyrose2\" \"mistyrose3\" \"mistyrose4\" \n",
|
||
|
"[484] \"moccasin\" \"navajowhite\" \"navajowhite1\" \n",
|
||
|
"[487] \"navajowhite2\" \"navajowhite3\" \"navajowhite4\" \n",
|
||
|
"[490] \"navy\" \"navyblue\" \"oldlace\" \n",
|
||
|
"[493] \"olivedrab\" \"olivedrab1\" \"olivedrab2\" \n",
|
||
|
"[496] \"olivedrab3\" \"olivedrab4\" \"orange\" \n",
|
||
|
"[499] \"orange1\" \"orange2\" \"orange3\" \n",
|
||
|
"[502] \"orange4\" \"orangered\" \"orangered1\" \n",
|
||
|
"[505] \"orangered2\" \"orangered3\" \"orangered4\" \n",
|
||
|
"[508] \"orchid\" \"orchid1\" \"orchid2\" \n",
|
||
|
"[511] \"orchid3\" \"orchid4\" \"palegoldenrod\" \n",
|
||
|
"[514] \"palegreen\" \"palegreen1\" \"palegreen2\" \n",
|
||
|
"[517] \"palegreen3\" \"palegreen4\" \"paleturquoise\" \n",
|
||
|
"[520] \"paleturquoise1\" \"paleturquoise2\" \"paleturquoise3\" \n",
|
||
|
"[523] \"paleturquoise4\" \"palevioletred\" \"palevioletred1\" \n",
|
||
|
"[526] \"palevioletred2\" \"palevioletred3\" \"palevioletred4\" \n",
|
||
|
"[529] \"papayawhip\" \"peachpuff\" \"peachpuff1\" \n",
|
||
|
"[532] \"peachpuff2\" \"peachpuff3\" \"peachpuff4\" \n",
|
||
|
"[535] \"peru\" \"pink\" \"pink1\" \n",
|
||
|
"[538] \"pink2\" \"pink3\" \"pink4\" \n",
|
||
|
"[541] \"plum\" \"plum1\" \"plum2\" \n",
|
||
|
"[544] \"plum3\" \"plum4\" \"powderblue\" \n",
|
||
|
"[547] \"purple\" \"purple1\" \"purple2\" \n",
|
||
|
"[550] \"purple3\" \"purple4\" \"red\" \n",
|
||
|
"[553] \"red1\" \"red2\" \"red3\" \n",
|
||
|
"[556] \"red4\" \"rosybrown\" \"rosybrown1\" \n",
|
||
|
"[559] \"rosybrown2\" \"rosybrown3\" \"rosybrown4\" \n",
|
||
|
"[562] \"royalblue\" \"royalblue1\" \"royalblue2\" \n",
|
||
|
"[565] \"royalblue3\" \"royalblue4\" \"saddlebrown\" \n",
|
||
|
"[568] \"salmon\" \"salmon1\" \"salmon2\" \n",
|
||
|
"[571] \"salmon3\" \"salmon4\" \"sandybrown\" \n",
|
||
|
"[574] \"seagreen\" \"seagreen1\" \"seagreen2\" \n",
|
||
|
"[577] \"seagreen3\" \"seagreen4\" \"seashell\" \n",
|
||
|
"[580] \"seashell1\" \"seashell2\" \"seashell3\" \n",
|
||
|
"[583] \"seashell4\" \"sienna\" \"sienna1\" \n",
|
||
|
"[586] \"sienna2\" \"sienna3\" \"sienna4\" \n",
|
||
|
"[589] \"skyblue\" \"skyblue1\" \"skyblue2\" \n",
|
||
|
"[592] \"skyblue3\" \"skyblue4\" \"slateblue\" \n",
|
||
|
"[595] \"slateblue1\" \"slateblue2\" \"slateblue3\" \n",
|
||
|
"[598] \"slateblue4\" \"slategray\" \"slategray1\" \n",
|
||
|
"[601] \"slategray2\" \"slategray3\" \"slategray4\" \n",
|
||
|
"[604] \"slategrey\" \"snow\" \"snow1\" \n",
|
||
|
"[607] \"snow2\" \"snow3\" \"snow4\" \n",
|
||
|
"[610] \"springgreen\" \"springgreen1\" \"springgreen2\" \n",
|
||
|
"[613] \"springgreen3\" \"springgreen4\" \"steelblue\" \n",
|
||
|
"[616] \"steelblue1\" \"steelblue2\" \"steelblue3\" \n",
|
||
|
"[619] \"steelblue4\" \"tan\" \"tan1\" \n",
|
||
|
"[622] \"tan2\" \"tan3\" \"tan4\" \n",
|
||
|
"[625] \"thistle\" \"thistle1\" \"thistle2\" \n",
|
||
|
"[628] \"thistle3\" \"thistle4\" \"tomato\" \n",
|
||
|
"[631] \"tomato1\" \"tomato2\" \"tomato3\" \n",
|
||
|
"[634] \"tomato4\" \"turquoise\" \"turquoise1\" \n",
|
||
|
"[637] \"turquoise2\" \"turquoise3\" \"turquoise4\" \n",
|
||
|
"[640] \"violet\" \"violetred\" \"violetred1\" \n",
|
||
|
"[643] \"violetred2\" \"violetred3\" \"violetred4\" \n",
|
||
|
"[646] \"wheat\" \"wheat1\" \"wheat2\" \n",
|
||
|
"[649] \"wheat3\" \"wheat4\" \"whitesmoke\" \n",
|
||
|
"[652] \"yellow\" \"yellow1\" \"yellow2\" \n",
|
||
|
"[655] \"yellow3\" \"yellow4\" \"yellowgreen\" "
|
||
|
]
|
||
|
},
|
||
|
"metadata": {},
|
||
|
"output_type": "display_data"
|
||
|
}
|
||
|
],
|
||
|
"source": [
|
||
|
"colors()"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "markdown",
|
||
|
"metadata": {},
|
||
|
"source": [
|
||
|
"- font - Typ czcionki dla tekstu: 1 - normalna, 2 - pogrubiona, 3 - pochylona, 4 - pogrubiona i pochylona.\n",
|
||
|
"- lty - Określa typ linii, 0 - brak linii ('blank'), 1 - ciągła ('solid'), 2 - przerywana ('dashed'), 3 - kropkowana ('dotted'), 4 - kropka-kreska ('dotdash'), 5 - długa kreska ('longdash'), 6 - podwójna kreska ('twodash'). Poza tym istnieje możliwość określenia dowolnej linii, w taki sposób, że po kolei w liczbach szesnastkowych podajemy ile jednostek ma być wypełnionych linią, a ile pustych (maksymalnie osiem znaków, tylko parzyste długości), np:. lty = '13' oznacza linię kropkowaną."
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "markdown",
|
||
|
"metadata": {},
|
||
|
"source": [
|
||
|
"<img src=\"figs/linie.png\" width=\"300\">"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "markdown",
|
||
|
"metadata": {},
|
||
|
"source": [
|
||
|
"- lwd - Grubość linii.\n",
|
||
|
"- pch - Symbol używany na obrazkach, można używać domyślnych symboli określonych liczbami od 0 do 25. Symbole 21-25 różnią się od wcześniejszych jedynie typem wypełnienia. Dodatkowo istnieje możliwość użycia znaków o kodach ASCII od 32 do 255 z bieżącej czcionki (wszystkie symbole dostępne do użycia można wyświetlić poleceniem <font color='red'>symbolTable</font> z pakietu <font color='red'>fBasics</font>)."
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "markdown",
|
||
|
"metadata": {},
|
||
|
"source": [
|
||
|
"<img src=\"figs/pch.png\" width=\"300\">"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "markdown",
|
||
|
"metadata": {},
|
||
|
"source": [
|
||
|
"<img src=\"figs/linie.png\" width=\"00\">"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "code",
|
||
|
"execution_count": 3,
|
||
|
"metadata": {},
|
||
|
"outputs": [
|
||
|
{
|
||
|
"data": {
|
||
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAB4AAAAQ4CAYAAADo08FDAAAEDmlDQ1BrQ0dDb2xvclNwYWNl\nR2VuZXJpY1JHQgAAOI2NVV1oHFUUPpu5syskzoPUpqaSDv41lLRsUtGE2uj+ZbNt3CyTbLRB\nkMns3Z1pJjPj/KRpKT4UQRDBqOCT4P9bwSchaqvtiy2itFCiBIMo+ND6R6HSFwnruTOzu5O4\na73L3PnmnO9+595z7t4LkLgsW5beJQIsGq4t5dPis8fmxMQ6dMF90A190C0rjpUqlSYBG+PC\nv9rt7yDG3tf2t/f/Z+uuUEcBiN2F2Kw4yiLiZQD+FcWyXYAEQfvICddi+AnEO2ycIOISw7UA\nVxieD/Cyz5mRMohfRSwoqoz+xNuIB+cj9loEB3Pw2448NaitKSLLRck2q5pOI9O9g/t/tkXd\na8Tbg0+PszB9FN8DuPaXKnKW4YcQn1Xk3HSIry5ps8UQ/2W5aQnxIwBdu7yFcgrxPsRjVXu8\nHOh0qao30cArp9SZZxDfg3h1wTzKxu5E/LUxX5wKdX5SnAzmDx4A4OIqLbB69yMesE1pKojL\njVdoNsfyiPi45hZmAn3uLWdpOtfQOaVmikEs7ovj8hFWpz7EV6mel0L9Xy23FMYlPYZenAx0\nyDB1/PX6dledmQjikjkXCxqMJS9WtfFCyH9XtSekEF+2dH+P4tzITduTygGfv58a5VCTH5Pt\nXD7EFZiNyUDBhHnsFTBgE0SQIA9pfFtgo6cKGuhooeilaKH41eDs38Ip+f4At1Rq/sjr6NEw\nQqb/I/DQqsLvaFUjvAx+eWirddAJZnAj1DFJL0mSg/gcIpPkMBkhoyCSJ8lTZIxk0TpKDjXH\nliJzZPO50dR5ASNSnzeLvIvod0HG/mdkmOC0z8VKnzcQ2M/Yz2vKldduXjp9bleLu0ZWn7vW\nc+l0JGcaai10yNrUnXLP/8Jf59ewX+c3Wgz+B34Df+vbVrc16zTMVgp9um9bxEfzPU5kPqUt\nVWxhs6OiWTVW+gIfywB9uXi7CGcGW/zk98k/kmvJ95IfJn/j3uQ+4c5zn3Kfcd+AyF3gLnJf\ncl9xH3OfR2rUee80a+6vo7EK5mmXUdyfQlrYLTwoZIU9wsPCZEtP6BWGhAlhL3p2N6sTjRdd\nuwbHsG9kq32sgBepc+xurLPW4T9URpYGJ3ym4+8zA05u44QjST8ZIoVtu3qE7fWmdn5LPdqv\ngcZz8Ww8BWJ8X3w0PhQ/wnCDGd+LvlHs8dRy6bLLDuKMaZ20tZrqisPJ5ONiCq8yKhYM5cCg\nKOu66Lsc0aYOtZdo5QCwezI4wm9J/v0X23mlZXOfBjj8Jzv3WrY5D+CsA9D7aMs2gGfjve8A\nrD6mePZSeCfEYt8CONWDw8FXTxrPqx/r9Vt4biXeANh8vV7/+/16ffMD1N8AuKD/A/8leAvF\nY9bLAAAAOGVYSWZNTQAqAAAACAABh2kABAAAAAEAAAAaAAAAAAACoAIABAAAAAEAAAeAoAMA\nBAAAAAEAAAQ4AAAAADFOLeoAAEAASURBVHgB7N0JuCxVeTZsQEBABsUBUBFREdQAKlE0cUqc\nxTjEBOdoEqNRo9F8ksQMJugf5yRqnDUOUTFiDE4oiopRHICPqDiCgjghswwyKCD/82JvbPbX\nfXbvs3d316q+13U9dPeq2lWr7nU457ynuqo22UQjQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE\nCBAgQ
|
||
|
"text/plain": [
|
||
|
"Plot with title “Plot”"
|
||
|
]
|
||
|
},
|
||
|
"metadata": {
|
||
|
"image/png": {
|
||
|
"height": 540,
|
||
|
"width": 960
|
||
|
}
|
||
|
},
|
||
|
"output_type": "display_data"
|
||
|
}
|
||
|
],
|
||
|
"source": [
|
||
|
"par(mfrow = c(2, 2)) # Split screen\n",
|
||
|
"plot(cars) # Scatterplot\n",
|
||
|
"plot(cars$speed, cars$dist)\n",
|
||
|
"plot(cars, axes = FALSE)\n",
|
||
|
"plot(cars, \n",
|
||
|
" xlab = 'Speed', \n",
|
||
|
" ylab = 'Distance',\n",
|
||
|
" main = 'Plot', \n",
|
||
|
" sub = 'Subtitle', \n",
|
||
|
" pch = 20, \n",
|
||
|
" col = 'red',\n",
|
||
|
" cex = 3)"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "code",
|
||
|
"execution_count": 4,
|
||
|
"metadata": {},
|
||
|
"outputs": [
|
||
|
{
|
||
|
"data": {
|
||
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAB4AAAAQ4CAYAAADo08FDAAAEDmlDQ1BrQ0dDb2xvclNwYWNl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\nBCAAA
|
||
|
"text/plain": [
|
||
|
"plot without title"
|
||
|
]
|
||
|
},
|
||
|
"metadata": {
|
||
|
"image/png": {
|
||
|
"height": 540,
|
||
|
"width": 960
|
||
|
}
|
||
|
},
|
||
|
"output_type": "display_data"
|
||
|
}
|
||
|
],
|
||
|
"source": [
|
||
|
"par(mfrow = c(1, 3)) # Split screen\n",
|
||
|
"curve(sin, from = 0, to = 2 * pi) # Create plot\n",
|
||
|
"curve(cos, from = 0, to = 2 * pi, add = TRUE, col = 'red', lwd = 2) # Add plot to existing \n",
|
||
|
"curve(sin(cos(x) * exp(-x / 2)), -10, 7) # New plot\n",
|
||
|
"curve(sin(cos(x) * exp(-x / 2)), -10, 7, n = 1000) # New plot"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "code",
|
||
|
"execution_count": 5,
|
||
|
"metadata": {},
|
||
|
"outputs": [
|
||
|
{
|
||
|
"data": {
|
||
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAB4AAAAQ4CAYAAADo08FDAAAEDmlDQ1BrQ0dDb2xvclNwYWNl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\nQIAAA
|
||
|
"text/plain": [
|
||
|
"plot without title"
|
||
|
]
|
||
|
},
|
||
|
"metadata": {
|
||
|
"image/png": {
|
||
|
"height": 540,
|
||
|
"width": 960
|
||
|
}
|
||
|
},
|
||
|
"output_type": "display_data"
|
||
|
}
|
||
|
],
|
||
|
"source": [
|
||
|
"with(cars, plot(speed, pch = '*')) # Scatterplot\n",
|
||
|
"with(cars, lines(lowess(speed))) # Add lines\n",
|
||
|
"legend('bottomright', # Place\n",
|
||
|
" c('Speed', 'Smoothed speed'), # Text\n",
|
||
|
" pch = c('*', NA), # Points\n",
|
||
|
" lty = c(0, 1)) # Lines"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "code",
|
||
|
"execution_count": 6,
|
||
|
"metadata": {},
|
||
|
"outputs": [
|
||
|
{
|
||
|
"name": "stderr",
|
||
|
"output_type": "stream",
|
||
|
"text": [
|
||
|
"Warning message in par(parameters):\n",
|
||
|
"“parametr graficzny 'cin' nie może zostać ustawiony”\n",
|
||
|
"Warning message in par(parameters):\n",
|
||
|
"“parametr graficzny 'cra' nie może zostać ustawiony”\n",
|
||
|
"Warning message in par(parameters):\n",
|
||
|
"“parametr graficzny 'csi' nie może zostać ustawiony”\n",
|
||
|
"Warning message in par(parameters):\n",
|
||
|
"“parametr graficzny 'cxy' nie może zostać ustawiony”\n",
|
||
|
"Warning message in par(parameters):\n",
|
||
|
"“parametr graficzny 'din' nie może zostać ustawiony”\n",
|
||
|
"Warning message in par(parameters):\n",
|
||
|
"“parametr graficzny 'page' nie może zostać ustawiony”\n"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"data": {
|
||
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAB4AAAAQ4CAYAAADo08FDAAAEDmlDQ1BrQ0dDb2xvclNwYWNl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\nMXToM
|
||
|
"text/plain": [
|
||
|
"Plot with title “The speed of cars and the distances taken to stop (1920)”"
|
||
|
]
|
||
|
},
|
||
|
"metadata": {
|
||
|
"image/png": {
|
||
|
"height": 540,
|
||
|
"width": 960
|
||
|
}
|
||
|
},
|
||
|
"output_type": "display_data"
|
||
|
}
|
||
|
],
|
||
|
"source": [
|
||
|
"parameters <- par() # Save parameters\n",
|
||
|
"par(bg = 'lightyellow', col.axis = 'blue') # Set new parameters\n",
|
||
|
"plot(cars, xlab = 'Speed', ylab = 'Distance', pch = 22, col = rgb(1, 0, 0, 0.5), bg = 'yellow')\n",
|
||
|
"title('The speed of cars and the distances taken to stop (1920)', font.main = 3, adj = 1)\n",
|
||
|
"par(parameters) # Load parameters"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "markdown",
|
||
|
"metadata": {},
|
||
|
"source": [
|
||
|
"### Podstawowe wykresy"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "markdown",
|
||
|
"metadata": {},
|
||
|
"source": [
|
||
|
"#### Histogram"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "markdown",
|
||
|
"metadata": {},
|
||
|
"source": [
|
||
|
"Histogram - zbór przylegających prostokątów, których podstawy, równe rozpiętości przedziałów klasowych znajdują się na osi odciętych, a wysokości są liczebnościami przedziałów."
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "code",
|
||
|
"execution_count": 7,
|
||
|
"metadata": {},
|
||
|
"outputs": [
|
||
|
{
|
||
|
"data": {
|
||
|
"text/html": [
|
||
|
"<style>\n",
|
||
|
".list-inline {list-style: none; margin:0; padding: 0}\n",
|
||
|
".list-inline>li {display: inline-block}\n",
|
||
|
".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
|
||
|
"</style>\n",
|
||
|
"<ol class=list-inline><li>'eruptions'</li><li>'waiting'</li></ol>\n"
|
||
|
],
|
||
|
"text/latex": [
|
||
|
"\\begin{enumerate*}\n",
|
||
|
"\\item 'eruptions'\n",
|
||
|
"\\item 'waiting'\n",
|
||
|
"\\end{enumerate*}\n"
|
||
|
],
|
||
|
"text/markdown": [
|
||
|
"1. 'eruptions'\n",
|
||
|
"2. 'waiting'\n",
|
||
|
"\n",
|
||
|
"\n"
|
||
|
],
|
||
|
"text/plain": [
|
||
|
"[1] \"eruptions\" \"waiting\" "
|
||
|
]
|
||
|
},
|
||
|
"metadata": {},
|
||
|
"output_type": "display_data"
|
||
|
},
|
||
|
{
|
||
|
"data": {
|
||
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAB4AAAAQ4CAYAAADo08FDAAAEDmlDQ1BrQ0dDb2xvclNwYWNl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\nt9X50
|
||
|
"text/plain": [
|
||
|
"Plot with title “Histogram of eruptions”"
|
||
|
]
|
||
|
},
|
||
|
"metadata": {
|
||
|
"image/png": {
|
||
|
"height": 540,
|
||
|
"width": 960
|
||
|
}
|
||
|
},
|
||
|
"output_type": "display_data"
|
||
|
}
|
||
|
],
|
||
|
"source": [
|
||
|
"par(mfrow = c(1, 3)) # Split screen\n",
|
||
|
"with(cars, hist(speed)) # Basic histogram\n",
|
||
|
"with(cars, hist(speed, prob = TRUE)) # Histogram for probabilities\n",
|
||
|
"with(cars, lines(density(speed))) # Density\n",
|
||
|
"\n",
|
||
|
"names(faithful)\n",
|
||
|
"with(faithful, hist(eruptions, seq(1.6, 5.2, 0.2), \n",
|
||
|
" prob = TRUE,\n",
|
||
|
" col = 'salmon'))\n",
|
||
|
"with(faithful, lines(density(eruptions, bw = 0.1)))\n",
|
||
|
"with(faithful, rug(jitter(eruptions), side = 1)) # Add true value below X axis"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "markdown",
|
||
|
"metadata": {},
|
||
|
"source": [
|
||
|
"#### Wykres pudełkowy"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "markdown",
|
||
|
"metadata": {},
|
||
|
"source": [
|
||
|
"Wykres pudełkowy inaczej ramkowy (*ang. boxplot, box-and-whisker plot*). Tworzymy go odkładając na pionowej osi wartości niektórych parametrów rozkładu. Nad osią umieszczony jest prostokąt (pudełko), którego dolny bok jest wyznaczony przez pierwszy kwartyl, górny bok zaś przez trzeci kwartyl. Wysokość pudełka odpowiada wartości rozstępu ćwiartkowego. Wewnątrz prostokąta znajduje się pozioma linia, określająca wartość mediany. Rysunek pudełka uzupełniamy od góry i od dołu odcinkami (wąsy). Dolny koniec dolnego odcinka wyznacza najmniejszą wartość w zbiorze, natomiast górny koniec górnego odcinka, to wartość największa. Końcowe wartości wąsów muszą spełniać dodatkowy warunek, a mianowicie dolny koniec nie może być mniejszy niż $Q_1-1{,}5\\cdot(Q_3-Q_1)$, a górny większy niż $Q_3+1{,}5\\cdot(Q_3-Q_1)$. Jeśli występują obserwacje spoza tego przedziału, to nanoszone są na wykres indywidualnie (są to tzw. obserwacje odstające (*ang. outlier*))."
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "markdown",
|
||
|
"metadata": {},
|
||
|
"source": [
|
||
|
"<img src=\"figs/boxplot.png\" width=\"800\">"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "code",
|
||
|
"execution_count": 8,
|
||
|
"metadata": {},
|
||
|
"outputs": [
|
||
|
{
|
||
|
"data": {
|
||
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAB4AAAAQ4CAYAAADo08FDAAAEDmlDQ1BrQ0dDb2xvclNwYWNl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\nQIAAA
|
||
|
"text/plain": [
|
||
|
"plot without title"
|
||
|
]
|
||
|
},
|
||
|
"metadata": {
|
||
|
"image/png": {
|
||
|
"height": 540,
|
||
|
"width": 960
|
||
|
}
|
||
|
},
|
||
|
"output_type": "display_data"
|
||
|
}
|
||
|
],
|
||
|
"source": [
|
||
|
"par(mfrow = c(1, 3)) # Split screen\n",
|
||
|
"with(cars, boxplot(speed)) # Classic boxplot for single group\n",
|
||
|
"with(cars, boxplot(speed, horizontal = TRUE)) # Horizontal boxplot\n",
|
||
|
"with(cars, rug(speed, side = 1)) # Add truve values below\n",
|
||
|
"with(cbind(cars, group = sample(1:2, nrow(cars), replace = TRUE)), \n",
|
||
|
" boxplot(speed ~ group, col = c('lightblue', 'salmon'))) # Boxplot for two groups"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "markdown",
|
||
|
"metadata": {},
|
||
|
"source": [
|
||
|
"#### Wykres skrzypcowy"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "markdown",
|
||
|
"metadata": {},
|
||
|
"source": [
|
||
|
"Wykres skrzypcowy (*ang. violin plot*). Można go traktować jako wygładzoną wersję wykresu pudełkowego. Przydatny jest zwłaszcza w przypadku danych wielomodalnych. Jest to w zasadzie wykres pudełkowy, gdzie szerokość skrzypiec w punkcie $x$ odpowiada natężeniu obserwacji o wartości cechy zbliżonej do $x$ (estymator jądrowy gęstości).\n",
|
||
|
"\n",
|
||
|
"<img src=\"figs/violin.png\" width=\"400\">"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "code",
|
||
|
"execution_count": 9,
|
||
|
"metadata": {},
|
||
|
"outputs": [
|
||
|
{
|
||
|
"data": {
|
||
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAB4AAAAQ4CAYAAADo08FDAAAEDmlDQ1BrQ0dDb2xvclNwYWNl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\nAAECB
|
||
|
"text/plain": [
|
||
|
"Plot with title “”"
|
||
|
]
|
||
|
},
|
||
|
"metadata": {
|
||
|
"image/png": {
|
||
|
"height": 540,
|
||
|
"width": 960
|
||
|
}
|
||
|
},
|
||
|
"output_type": "display_data"
|
||
|
}
|
||
|
],
|
||
|
"source": [
|
||
|
"with(cars, vioplot::vioplot(speed))"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "markdown",
|
||
|
"metadata": {},
|
||
|
"source": [
|
||
|
"#### Wykres słupkowy"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "markdown",
|
||
|
"metadata": {},
|
||
|
"source": [
|
||
|
"Wykres słupkowy (kolumnowy) (*ang. bar plot*) - używany raczej w przypadku danych jakościowych, przedstawia kolejne kategorie danych za pomocą słupków odpowiedniej wysokości. Może być poziomy lub pionowy (czasami występuje rozróżnienie, pionowy nazywany jest wtedy kolumnowym, a poziomy słupkowym). Czasami używa się również tzw. wykresu Pareto, gdzie słupki rysowane są od najwyższego do najniższego. "
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "code",
|
||
|
"execution_count": 10,
|
||
|
"metadata": {},
|
||
|
"outputs": [
|
||
|
{
|
||
|
"data": {
|
||
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAB4AAAAQ4CAYAAADo08FDAAAEDmlDQ1BrQ0dDb2xvclNwYWNl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\nCBAgQ
|
||
|
"text/plain": [
|
||
|
"plot without title"
|
||
|
]
|
||
|
},
|
||
|
"metadata": {
|
||
|
"image/png": {
|
||
|
"height": 540,
|
||
|
"width": 960
|
||
|
}
|
||
|
},
|
||
|
"output_type": "display_data"
|
||
|
}
|
||
|
],
|
||
|
"source": [
|
||
|
"blood <- c(70, 24, 10, 3)\n",
|
||
|
"barplot(blood, col = 1:4)"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "markdown",
|
||
|
"metadata": {},
|
||
|
"source": [
|
||
|
"#### Wykres kołowy"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "markdown",
|
||
|
"metadata": {},
|
||
|
"source": [
|
||
|
"Wykres kołowy (*ang. pie chart*). Wartości liczbowe są przedstawiane za pomocą wycinków koła. Wykres kołowy występuje w rozmaitych wariantach graficznych. Typowy jest wykres płaski, ale można też utworzyć trójwymiarowy ,,tort'' lub ,,ser''."
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "code",
|
||
|
"execution_count": 11,
|
||
|
"metadata": {},
|
||
|
"outputs": [
|
||
|
{
|
||
|
"data": {
|
||
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAB4AAAAQ4CAYAAADo08FDAAAEDmlDQ1BrQ0dDb2xvclNwYWNl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\nIECAA
|
||
|
"text/plain": [
|
||
|
"plot without title"
|
||
|
]
|
||
|
},
|
||
|
"metadata": {
|
||
|
"image/png": {
|
||
|
"height": 540,
|
||
|
"width": 960
|
||
|
}
|
||
|
},
|
||
|
"output_type": "display_data"
|
||
|
}
|
||
|
],
|
||
|
"source": [
|
||
|
"par(mfrow = c(1, 2))\n",
|
||
|
"pie(blood, col = 2:5)\n",
|
||
|
"plotrix::pie3D(blood, explode = 0.1)"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "markdown",
|
||
|
"metadata": {},
|
||
|
"source": [
|
||
|
"### Muliplots"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "code",
|
||
|
"execution_count": 12,
|
||
|
"metadata": {},
|
||
|
"outputs": [
|
||
|
{
|
||
|
"data": {
|
||
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAB4AAAAQ4CAYAAADo08FDAAAEDmlDQ1BrQ0dDb2xvclNwYWNl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\nQIAAA
|
||
|
"text/plain": [
|
||
|
"plot without title"
|
||
|
]
|
||
|
},
|
||
|
"metadata": {
|
||
|
"image/png": {
|
||
|
"height": 540,
|
||
|
"width": 960
|
||
|
}
|
||
|
},
|
||
|
"output_type": "display_data"
|
||
|
}
|
||
|
],
|
||
|
"source": [
|
||
|
"layout(matrix(c(1, 2, 1, 3), ncol = 2, byrow = TRUE)) # Split screen\n",
|
||
|
"UsingR::squareplot(blood) # First plot\n",
|
||
|
"with(cars, boxplot(speed)) # Second plot \n",
|
||
|
"pie(blood) # Third plot"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "markdown",
|
||
|
"metadata": {},
|
||
|
"source": [
|
||
|
"## Zadania"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "markdown",
|
||
|
"metadata": {},
|
||
|
"source": [
|
||
|
"1. Dla zbioru danych *LakeHuron* (poziomy jeziora (w stopach) Huron (lata 1875-1972)):\n",
|
||
|
" - narysuj jak zmieniał się poziom wody w czasie,\n",
|
||
|
" - zastosuj funkcję *identify* aby oznaczyć punkty odpowiadające latom o najwyższym oraz najniższym poziomie wody.\n",
|
||
|
"2. W zbiorze danych *emissions* (emisja CO$_2$ a poziom PKB (26 państw)) z pakietu *UsingR* istnieje obserwacja odstająca. Znajdź ją używając funkcji *identify*, a następnie narysuj wykres, bez tej obserwacji. Zamiast punktów powinny być nazwy krajów. Użyj skali logarytmicznej dla obu osi.\n",
|
||
|
"3. Dla zbioru *chips* (grubość chipsów) z pakietu *UsingR* wykonaj wykres pudełkowy w zależności od miejsca pomiarów (powinno być 8 wykresów na jednym diagramie). Co można na ich podstawie powiedzieć o średniej i wariancji?\n",
|
||
|
"4. Wykonaj wykres pudełkowy (w zależności od żywienia) dla zbioru *chicken* (waga kurczaków w zależności od metody żywienia) z pakietu *UsingR*. Co można powiedzieć na temat średnich wag na podstawie tego wykresu?\n",
|
||
|
"5. Na bazie zbioru *carbon* (poziom tlenku węgla) z pakietu *UsingR*, wykonaj wykres pudełkowy dla każdego stanowiska pomiaru. Czy występują jakieś różnice, dlaczego?\n",
|
||
|
"6. Narysuj wykres funkcji sinus używając jako argumentów 200 wartości z przedziału $[-\\pi,\\pi]$ (nie rysuj osi). Następnie dodaj oś $Y$ przechodzącą przez początek układu współrzędnych, potem oś $X$ ze znacznikami co $\\pi/2$.\n",
|
||
|
"7. W zbiorze danych \\*survey (wyniki ankiety (palenie, cechy fizyczne, płeć, wiek itp. wśród 237 studentów pierwszego roku na Uniwersytecie w Adelajdzie) z pakietu *MASS* znajduje się zmienna *Exer* zawierająca informacje na temat częstotliwości ćwiczenia przez studentów. Dla tej zmiennej wykonaj wykres słupkowy oraz kołowy (wraz z legendą). \n",
|
||
|
"8. Zbiór danych *orings* z pakietu *DAAG* zawiera dane na temat wypadków amerykańskich statków kosmicznych przed katastrofą promu Challenger (28.01.1986). Jedynie obserwacje 1, 2, 4, 11, 13 oraz 18 były analizowane przed katastrofą. Utwórz z tych obserwacji nowy zbiór danych oraz narysuj wykres całkowitej liczby wypadków w zależności od temperatury. Wykonaj podobny wykres dla całego zbioru danych i umieść oba wykresy obok siebie.\n",
|
||
|
"9. Zbiór danych *Manitoba.lakes* z pakietu *DAAG* zawiera informacje na temat powierzchni oraz wysokości n.p.m. 9 największych jezior w kanadyjskiej prowincji Manitoba. Narysuj wykres zależności powierzchni od wysokości n.p.m. Każde jezioro na wykresie powinno mieć nazwę. Ze względu na wartości odstające powierzchni warto skorzystać ze skali logarytmicznej.\n",
|
||
|
"10. Dla cechy \\texttt{Sepal.Width} ze zbioru danych *iris* (cechy trzech gatunków kwiatów irysa) wykonaj wykres pudełkowy osobno dla każdego poziomu zmiennej *Species*. Zmodyfikuj wykres tak, aby przypominał poniższy rysunek.\n",
|
||
|
"\n",
|
||
|
"<img src=\"figs/lab1_1.png\" width=\"600\">\n",
|
||
|
"\n",
|
||
|
"11. Skonstruuj macierz o 10 wierszach i 10 kolumnach wypełnioną wartościami losowymi (rozkład jednostajny) z przedziału $[0,1]$. \n",
|
||
|
" - Narysuj ją za pomocą funkcji *image*. \n",
|
||
|
" - Zmień kolory na odcienie szarości.\t\n",
|
||
|
" - Wykonaj wykres konturowy za pomocą funkcji *contour*.\n",
|
||
|
"\n",
|
||
|
"12. W celu stworzenia wykresu 3d za pomocą funkcji *persp* potrzebujemy trzech zmiennych (x, y, z), gdzie z jest macierzą wartości, które chcemy narysować. Wykonaj poniższy wykres (przyjmij $z = (x + y)/2$ oraz $x,y\\in[0,1]$).\n",
|
||
|
"\n",
|
||
|
"<img src=\"figs/lab1_2.png\" width=\"600\">\n",
|
||
|
"\n",
|
||
|
"13. Wykonaj poniższy wykres (wykorzystaj funkcję *layout*) dla zmiennych ze zbioru *iris*.\n",
|
||
|
"\n",
|
||
|
"<img src=\"figs/lab1_3.png\" width=\"600\">\n"
|
||
|
]
|
||
|
}
|
||
|
],
|
||
|
"metadata": {
|
||
|
"kernelspec": {
|
||
|
"display_name": "R",
|
||
|
"language": "R",
|
||
|
"name": "ir"
|
||
|
},
|
||
|
"language_info": {
|
||
|
"codemirror_mode": "r",
|
||
|
"file_extension": ".r",
|
||
|
"mimetype": "text/x-r-source",
|
||
|
"name": "R",
|
||
|
"pygments_lexer": "r",
|
||
|
"version": "3.6.1"
|
||
|
}
|
||
|
},
|
||
|
"nbformat": 4,
|
||
|
"nbformat_minor": 4
|
||
|
}
|