43 lines
1.0 KiB
R
43 lines
1.0 KiB
R
t.test_single <- function(x, m, alternative = "two.sided") {
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M <- mean(x)
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n <- length(x)
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statistic <- ((M - m) / sd(x)) * sqrt(n)
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p <- if (alternative == "two.sided") {
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2 * pt(q=abs(statistic), df=length(x)-1, lower.tail=FALSE)
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} else if (alternative == "less") {
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pt(q=statistic, df=length(x)-1, lower.tail = TRUE)
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} else {
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pt(q=statistic, df=length(x)-1, lower.tail = FALSE)
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}
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value <- list(mean = M, m = m, statistic = statistic, p.value = p, alternative = alternative)
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return(value)
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}
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load("Hamulce.RData")
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attach(Hamulce)
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size_Hamulce <- length(Hamulce$Wynik)
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#Z bootstrapem
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wyniki <- data.frame()
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for (i in 1:10) {
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bootstrappedData_Wynik <- ourBoot(Hamulce$Wynik, size_Hamulce, size_Hamulce)
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# nasza funkcja
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ttest <- t.test_single(bootstrappedData_Wynik, m=18.6, alternative='less')
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wyniki <- rbind(wyniki, ttest)
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}
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mean(wyniki$mean)
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mean(wyniki$statistic)
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mean(wyniki$p.value)
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#Bez bootstrapa
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# funkcja wbudowana
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t.test(Wynik,mu=18.6,alternative='less')
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# nasza funkcja
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t.test_single(Wynik, m=18.6, alternative='less')
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