dplyr 改变许多数据类型 [英] dplyr change many data types

问题描述

我有一个 data.frame:

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')
                  )

要更改数据类型，我可以使用类似的东西

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)

使用 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)
)

dplyr 中是否有更优雅(更短)的方式?

is there a more elegant (shorter) way in dplyr?

谢谢克里斯托夫

推荐答案

您可以使用mutate_each(即mutate_each_)的标准评估版来更改列类:

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)

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