50 lines
1.3 KiB
R
50 lines
1.3 KiB
R
t.test_multiple <- function(x, y, m0=0, alternative = "two.sided") {
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M1 <- mean(x)
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M2 <- mean(y)
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n1 <- length(x)
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n2 <- length(y)
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S <- sqrt((var(x) / n1) + (var(y) / n2))
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statistic <- (M1 - M2 - m0) / S
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p <- if (alternative == "two.sided") {
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2 * pt(q=abs(statistic), df=n1+n2-2, lower.tail=FALSE)
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} else if (alternative == "less") {
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pt(q=statistic, df=n1+n2-2, lower.tail = TRUE)
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} else {
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pt(q=statistic, df=n1+n2-2, lower.tail = FALSE)
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}
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value <- list(mean1 = M1, mean2 = M2, df=n1+n2-2, m0 = m0, statistic = statistic, p.value = p, alternative = alternative)
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return(value)
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}
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# niezależne
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load("Bledy.RData")
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attach(Bledy)
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size_Bledy <- length(Bledy$Blad)
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wyniki <- data.frame()
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for (i in 1:10){
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bootstrappedData_Bledy_Blad <- ourBoot(Bledy$Blad, size_Bledy, size_Bledy)
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bootstrappedData_Bledy_Kod <- ourBoot(Bledy$Kod, size_Bledy, size_Bledy)
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ttest <- t.test_multiple(x=bootstrappedData_Bledy_Blad, y=bootstrappedData_Bledy_Kod, alternative='less')
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wyniki <- rbind(wyniki, ttest)
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}
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mean(wyniki$mean1)
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mean(wyniki$mean2)
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mean(wyniki$statistic)
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mean(wyniki$p.value)
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#dane normalne
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#funkcja wbudowana
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#t.test(x=Blad, y=Kod,var.equal=T,alternative='less')
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# nasza funkcja
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#t.test_multiple(x=Blad, y=Kod, alternative='less')
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