I have got two separate lists which contain 4 data.frames each one. I need to perform a Student's t-test (t.test
) for rainfall
between each data.frames within the two lists.
Here the lists:
lst1 = list(data.frame(rnorm(20), rnorm(20)), data.frame(rnorm(25), rnorm(25)), data.frame(rnorm(16), rnorm(16)), data.frame(rnorm(34), rnorm(34)))
lst1 = lapply(lst1, setNames, c('rainfall', 'snow'))
lst2 = list(data.frame(rnorm(19), rnorm(19)), data.frame(rnorm(38), rnorm(38)), data.frame(rnorm(22), rnorm(22)), data.frame(rnorm(59), rnorm(59)))
lst2 = lapply(lst2, setNames, c('rainfall', 'snow'))
What I would need to do is:
t.test(lst1[[1]]$rainfall, lst2[[1]]$rainfall)
t.test(lst1[[2]]$rainfall, lst2[[2]]$rainfall)
t.test(lst1[[3]]$rainfall, lst2[[3]]$rainfall)
t.test(lst1[[4]]$rainfall, lst2[[4]]$rainfall)
I can do it as above by writing each of the 4 data.frames (I actually have 40 with my real data) but I would like to know if there exists a smarter and quickier way to do it.
Here below what I tried (without success):
myfunction = function(x,y) {
test = t.test(x, y)
return(test)
}
result = mapply(myfunction, x=lst1, y=lst2)