Dear V. K. Chetty,
Perhaps I'm missing something but why wouldn't you just use a list of
matrices, as in the following?
-- snip -
> set.seed(123) # for reproducibility
> (Matrices <- lapply(1:3, function(i) matrix(sample(1:50, 4), 2, 2)))
[[1]]
[,1] [,2]
[1,] 31 14
I want to use map and purr functions to compute eigen values for 3000
matrices. Each matrix has 2 rows and 2 columns. The following code does not
work.
test.dat<- tibble(ID=c(1,2),a=c(1,1),b=c(1,1),c=c(2,2),d=c(4,3))
test.out<-test.dat %>% nest(-ID) %>% mutate(fit = purrr::map(data,~
function(x)
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