I was reading this question at SO and was wondering if there is any way to use is.numeric in a vectorized way. The point being, if you have a vectorized way to check if a variable is numeric, then any function what depends on the variable being numeric can be vectorized. Otherwise, it cannot be vectorized.
As per the comments:
if you're looking to test columns of a data.frame with as.numeric, use sapply
or lapply
(but not apply
)
dat <- data.frame(v1=1:5,v2=letters[1:5],v3=rnorm(5),v4=c(1,2,'c','d',5))
sapply(dat,is.numeric)
# v1 v2 v3 v4
# TRUE FALSE TRUE FALSE
Or, for variety, you can use colwise
from the plyr package:
library(dplyr) # since pkg:plyr is now deprecated
colwise(is.numeric)(dat)
# v1 v2 v3 v4
#1 TRUE FALSE TRUE FALSE