I have a data.frame:
dat <- data.frame(fac1 = c(1, 2),
fac2 = c(4, 5),
fac3 = c(7, 8),
dbl1 = c('1', '2'),
dbl2 = c('4', '5'),
dbl3 = c('6', '7')
)
To change data types I can use something like
l1 <- c("fac1", "fac2", "fac3")
l2 <- c("dbl1", "dbl2", "dbl3")
dat[, l1] <- lapply(dat[, l1], factor)
dat[, l2] <- lapply(dat[, l2], as.numeric)
with dplyr
dat <- dat %>% mutate(
fac1 = factor(fac1), fac2 = factor(fac2), fac3 = factor(fac3),
dbl1 = as.numeric(dbl1), dbl2 = as.numeric(dbl2), dbl3 = as.numeric(dbl3)
)
is there a more elegant (shorter) way in dplyr?
thx Christof
You can use the standard evaluation version of mutate_each
(which is mutate_each_
) to change the column classes:
dat %>% mutate_each_(funs(factor), l1) %>% mutate_each_(funs(as.numeric), l2)