lapply and for
Given a list as such:
milista
$"1": [1] 23 25 11 $"2": [1] 34 2 $"3": [1] 12 1 0 1050 2 What's faster:
a <- NULL
for (i in names(milista)){
+ a <- c(a,(mean(milista[[i]]))) + } or a <- lapply(milista,mean) ? (I understand that the second option is nicer and more compact, but is it faster?). Thanks Agus Dr. Agustin Lobo Instituto de Ciencias de la Tierra (CSIC) Lluis Sole Sabaris s/n 08028 Barcelona SPAIN tel 34 93409 5410 fax 34 93411 0012 alobo at ija.csic.es -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._