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How to calculate the average value of two lists for each row
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How to calculate the average value of two lists for each row
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I have two lists as below:
l1 <- list(a=1, b=2, c=3)
l2 <- list(a=4, b=5, c=6)
I want to calculate the mean value of the two lists for each row and assign the result to a new list. Like below:
l3 <- mean(l1, l2)
How can I achieve this in R?
We can use Map
Map(function(x,y) mean(c(x,y)), l1, l2)
Or with map2 from purrr
purrr::map2(l1, l2, ~ mean(c(.x, .y)))
Or using tidyverse
library(tidyverse)
bind_rows(l1, l2) %>%
summarise_all(mean) %>%
unlist() %>%
relist(., skeleton = l1)
Or another option is
relist((unlist(l1) + unlist(l2))/2, skeleton= l1)
NOTE: All the solutions return a list as the OP mentioned in the post
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