CODEWITHSUNDEEP
rdataframe
Sohia
Sohia

Reputation: 43

Move variables in global environment to a dataframe

How to save multiple variables in global environment into a dataframe in R? I can do it one by one using the $. But is there a command that moves all variables at once?

Upvotes: 1

Views: 1414

Answers (2)

IRTFM
IRTFM

Reputation: 263331

If there is a named list of objects, then:

 cbind(dfrm, list.obj)

E.g.

dados <- data.frame(x=1:10, v1=rnorm(10), v2=rnorm(10))
dat1 <- rnorm(10)
dat2 <- letters[1:5]
cbind(dados, list(new1=dat1, new2=dat2))

Can also use this form:

cbind(dados, new1=dat1, new2=dat2)

If you had a bunch of variables in the global environment with the character string "zzz" in their names and you wanted to append them columnwise to an existing dataframe, you could use this:

dados[, ls(patt="zzz") ] <- sapply( ls(patt="zzz"), get)

You might notice that I was objecting to using data.frame(cbind(...)) and yet I am saying to use cbind. Well, I am assuming that the first argument in my case is already a dataframe, so that cbind does not get called, but rather cbind.data.frame' gets called, and it will allow the usual list-behavior of data.frame objects to persist. If the first argument is only a vector, then.Internal(cbind(...)` will do coercion to a matrix which will remove attributes of all the arguments and coerce then into a common storage mode.

Upvotes: 0

Se&#241;or O
Se&#241;or O

Reputation: 17412

You can do:

do.call(data.frame, lapply(ls(), get))

But let me just say this sounds like a horrible idea.

Upvotes: 4

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