使用dplyr中的mutate_each将所有数值变量转换为factor

我正在尝试使用dplyr中的mutate_each来汇总因子中数据集的数值变量.

library(dplyr)
data(iris)
tbl_df(iris) ->iris

# I can transform all variables in factor
iris %>% mutate_each(funs(as.factor)) %>% summary
# I can transform some variables in factor
iris %>% mutate_each(funs(as.factor),one_of("Sepal.Length", "Petal.Length")) %>% summary

但我的目标是将所有数字变量转换为因子,所以我试试这个:

iris %>% mutate_each(funs(as.factor),sapply(iris,is.numeric)) %>% summary # should be a good way, but it doesn't

再试一次

iris %>% mutate_each(funs(as.factor),one_of(names(iris)[sapply(iris,is.numeric)]))
# Error in one_of(vars, ...) : object 'iris' not found

iris %>% mutate_each(funs(as.factor),names(iris)[sapply(iris,is.numeric)])
#Error in one_of(vars, ...) : object 'iris' not found

# anyway the one_of function dont seems to work in mutate_each
vars<-names(iris)[sapply(iris,is.numeric)]
iris %>%   mutate_each_(funs(as.factor),one_of(c("Petal.Length", "Petal.Width")))
iris %>%   mutate_each_(funs(as.factor),one_of(vars))

# Without %>% This works
mutate_each(iris,funs(as.factor), one_of(c("Petal.Length", "Petal.Width"))) %>% summary

这很奇怪..有什么想法？

THKS

今天更好的解决方案应该是:

iris %>% mutate_if(is.numeric,as.factor)