useR's,
I want to match the real number elements of a list that has 3 matrices as
its elements and then average those numbers. I think I am close, but I
can't get it to quite work out. For example,
> a <- list(matrix(c(10,NA,NA,12,11,
> 10,13,NA,14,12),ncol=2),matrix(c(10,12,15,13,11,
> 13,NA,NA,12,10),ncol=2),matrix(c(10,15,NA,13,NA, 13,12,NA,NA,10),ncol=2))
> a
[[1]]
[,1] [,2]
[1,] 10 10
[2,] NA 13
[3,] NA NA
[4,] 13 14
[5,] 11 12
[[2]]
[,1] [,2]
[1,] 10 13
[2,] 12 NA
[3,] 15 NA
[4,] 13 12
[5,] 11 10
[[3]]
[,1] [,2]
[1,] 10 13
[2,] 15 12
[3,] NA NA
[4,] 13 NA
[5,] NA 10
I want to average the non-NA numbers that simultaneously appear in each
column of all 3 matrices. For the first column, 10 and 13 are the only
numbers that appear in all 3 matrices. Thus, I want to take the average of
10 and 13. Then repeat the same process for the second column. The data
here is only a sample, but with the data I work with, there are many more
columns in each matrix in the list. Does anyone know a efficient way to do
this? Maybe using lapply()? Thanks in advance.
dxc13
--
View this message in context:
http://www.nabble.com/matching-values-in-a-list-tp14767170p14767170.html
Sent from the R help mailing list archive at Nabble.com.
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
