c:ms:2017:schedule:week15
This is an old revision of the document!
Table of Contents
two sample t-test
x1 <- rnorm(10, mean=100, sd=15) x1 t.test(x1, mu=95)
- What is the std error value?
- What if you have a sample with a large size?
- How do you get your se?
ster <- sd(x1)/sqrt(length(x1)) difx <- mean(x1)-95 tvalue <- difx/ster difx ster tvalue
x2 <- rnorm(100, mean=100, sd=15) head(x2) tail(x2) t.test(x2, mu=95) ster <- sd(x2)/sqrt(length(x2)) difx <- mean(x2)-95 tvalue <- difx/ster difx ster tvalue
mtcars mtcars$mpg mtcars$am t.test(mtcars$mpg~mtcars$am)
one sample t-test 2
a = c(65, 78, 88, 55, 48, 95, 66, 57, 79, 81) mean(a) sd(a) t.test(a, mu=60)
Faired sample t-test
sleep sleep.wide <- data.frame( ID=1:10, group1=sleep$extra[1:10], group2=sleep$extra[11:20] ) sleep.wide t.test(sleep.wide$group1 - sleep.wide$group2, mu=0, var.equal=TRUE) t.test(sleep.wide$group1, sleep.wide$group2, paired=TRUE)
ANOVA
c/ms/2017/schedule/week15.1497402996.txt.gz · Last modified: 2017/06/14 09:46 by hkimscil