Data
I have a list of lists that looks something like this:
sublist1 <- list(power=as.matrix(c(rnorm(10)),c(rnorm)),x=rnorm(10),y=rnorm(10))
sublist2 <- list(power=as.matrix(c(rnorm(10)),c(rnorm)),x=rnorm(10),y=rnorm(10))
sublist3 <- list(power=as.matrix(c(rnorm(10)),c(rnorm)),x=rnorm(10),y=rnorm(10))
mylist = list(sublist1,sublist2,sublist3)
My goal would be to pull out only the matrices named power
I've tried
mylist_power =mylist[sapply(mylist, '[', 'Power')]
But thats not working.
Brownie point alert!!!
How can I find the mean of the newly created list of matrices named power?
mylist_power <- sapply(mylist, '[', 'power')
and some means:
sapply(mylist_power, mean) # one per matrix
sapply(mylist_power, colMeans) # for each column and each matrix
sapply(mylist_power, rowMeans) # for each row and each matrix
mean(unlist(mylist_power)) # for the whole list
Reduce(`+`, mylist_power) / length(mylist_power) # element-wise
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