Aliases: eapply
Keywords: iteration environment list
### ** Examples require(stats) env <- new.env(hash = FALSE) # so the order is fixed env$a <- 1:10 env$beta <- exp(-3:3) env$logic <- c(TRUE, FALSE, FALSE, TRUE) # what have we there? utils::ls.str(env)
a : int [1:10] 1 2 3 4 5 6 7 8 9 10 beta : num [1:7] 0.0498 0.1353 0.3679 1 2.7183 ... logic : logi [1:4] TRUE FALSE FALSE TRUE
# compute the mean for each list element eapply(env, mean)
$logic [1] 0.5 $beta [1] 4.535125 $a [1] 5.5
unlist(eapply(env, mean, USE.NAMES = FALSE))
[1] 0.500000 4.535125 5.500000
# median and quartiles for each element (making use of "..." passing): eapply(env, quantile, probs = 1:3/4)
$logic
25% 50% 75%
0.0 0.5 1.0
$beta
25% 50% 75%
0.2516074 1.0000000 5.0536690
$a
25% 50% 75%
3.25 5.50 7.75
eapply(env, quantile)
$logic
0% 25% 50% 75% 100%
0.0 0.0 0.5 1.0 1.0
$beta
0% 25% 50% 75% 100%
0.04978707 0.25160736 1.00000000 5.05366896 20.08553692
$a
0% 25% 50% 75% 100%
1.00 3.25 5.50 7.75 10.00