130 lines
3.6 KiB
R
130 lines
3.6 KiB
R
library(shiny)
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library(magrittr)
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library(ggplot2)
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library(plotly)
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library(DT)
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ui <- fluidPage(
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tags$head(
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tags$style(HTML("
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@import url('//fonts.googleapis.com/css?family=Lobster|Cabin:400,700');
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@import url('//fonts.googleapis.com/css2?family=Fjalla+One');
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"))),
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theme = "style.css",
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fluidRow(
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column(12,
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navbarPage("",
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tabPanel("TakeCareApp"),
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tabPanel("Firmy"),
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tabPanel("O nas"),
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tabPanel("Zaloguj")),
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)),
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# App title ----
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titlePanel(h1("TakeCareApp", align = "center")),
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h4("Aplikacja wspomagajaca diagnozowanie i monitorowanie stanu zdrowia", align = "center"),
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fluidRow(
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column(3,
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tags$div("Panel sterowania") %>% tagAppendAttributes(class="panel-title")
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)%>% tagAppendAttributes(id = 'column-panel'),
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column(9,
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tabsetPanel(type = "tabs",
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tabPanel("Zakładka 1", tags$div(plotlyOutput("plot1",height = "auto"))%>% tagAppendAttributes(class = 'content-wrapper')),
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tabPanel("Zakładka 2", tags$div(plotlyOutput("plot2",height = "auto"))%>% tagAppendAttributes(class = 'content-wrapper')),
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tabPanel("Zakładka 3", tags$div(plotlyOutput("plot3",height = "auto"))%>% tagAppendAttributes(class = 'content-wrapper')),
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tabPanel("Zakładka 4", tags$div(plotlyOutput("plot4",height = "auto"))%>% tagAppendAttributes(class = 'content-wrapper')),
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tabPanel("Zakładka 5", tags$div(DT::dataTableOutput("table1",height = "auto"))%>% tagAppendAttributes(class = 'content-wrapper')),
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tabPanel("Zakładka 6", tags$div(DT::dataTableOutput("table2",height = "auto"))%>% tagAppendAttributes(class = 'content-wrapper'))
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))%>% tagAppendAttributes(id = 'column-content')
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) %>% tagAppendAttributes(id = 'row-content'),
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fluidRow(
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column(12,
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tags$span("© Copyright Wszystkie prawa zastrzeżone."))%>% tagAppendAttributes(id = 'column-copyright'),
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)%>% tagAppendAttributes(id = 'row-footer')
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)
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server <- function(input, output) {
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output$plot1 <- renderPlotly({
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g<-ggplot(mpg) +
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geom_point(mapping = aes(x = displ, y = hwy))
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gg<-ggplotly(g)
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gg
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})
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output$plot2 <- renderPlotly({
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g<-ggplot(data = mpg, mapping = aes(x = cty, y = hwy)) +
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geom_jitter()
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gg<-ggplotly(g)
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gg
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})
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output$plot3 <- renderPlotly({
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g<-ggplot(data = mpg, mapping = aes(x = displ, y = hwy, color = drv)) +
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geom_point() +
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geom_smooth(se = FALSE)
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gg<-ggplotly(g)
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gg
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})
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output$plot4 <- renderPlotly({
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g<-ggplot(data = mpg, mapping = aes(x = displ, y = hwy)) +
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geom_point(mapping = aes(color=drv)) +
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geom_smooth(se = FALSE)
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gg<-ggplotly(g)
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gg
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})
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pl <- list(
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sSearch = "Szukaj",
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sInfo="Wyniki od _START_ do _END_ z _TOTAL_ rekordów",
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sZeroRecords="Brak rekordów",
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sEmptyTable="Pusta tabela",
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oPaginate= list(
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sFirst="Pierwsza", sPrevious="Poprzednia",sLast="Ostatnia", sNext="Następna"
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),
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sLengthMenu = "Pokaż _MENU_ rekordów na stronie"
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)
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output$table1 <- DT::renderDataTable(iris,options = list(scrollX = TRUE,language=pl))
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table<-DT::renderDataTable(mpg,options = list(scrollX = TRUE,language=pl))
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output$table2 <- table
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}
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shinyApp(ui=ui,server=server) |