I have a dataframe
and would like to inspect and compare several columns. How can I select two or more columns with the data Viewer? I do not want to create a subsample for those columns each time. Is there another way?
data(mtcars)
View(mtcars$mpg)
View(mtcars$mpg, mtcars$mpg) # not working
View(c(mtcars$mpg, mtcars$cyl)) # shows 2 columns underneath each other
I usually use this code to do this
library(dplyr)
mtcars%>%
select(mpg,cyl)%>%
View
It uses the dplyr
package and the pipe %>%
. It works in a way that you first give it your data, then you manipulate it (in your case just selecting the rows) and then throw in View,
head()
, str()
or any other function.
View()
will only take a dataframe, not 2 seperate vectors
With base R you could do something like
View(mtcars[c("mpg", "cyl")])
您可以在View
使用data.frame
而不是c
,即
View(data.frame(mtcars$mpg, mtcars$cyl))
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