expand | R Documentation |
expand
transforms a DataFrame object into a new
DataFrame object where the columns specified by the user are
unlisted. The transformed DataFrame object has the same colnames
as the original but typically more rows.
## S4 method for signature 'DataFrame'
expand(x, colnames, keepEmptyRows = FALSE, recursive = TRUE)
x |
A DataFrame object with list-like columns or a Vector
object with list-like metadata columns (i.e. with list-like columns in
|
colnames |
A |
keepEmptyRows |
A |
recursive |
If |
A DataFrame object that has been expanded row-wise to match the length of the unlisted columns.
DataFrame objects.
library(IRanges)
aa <- CharacterList("a", paste0("d", 1:2), paste0("b", 1:3), c(), "c")
bb <- CharacterList(paste0("sna", 1:2),"foo", paste0("bar",1:3),c(),"hica")
df <- DataFrame(aa=aa, bb=bb, cc=11:15)
## Expand by all list-like columns (aa, bb), dropping rows with empty
## list elements:
expand(df)
## Expand the aa column only:
expand(df, colnames="aa", keepEmptyRows=TRUE)
expand(df, colnames="aa", keepEmptyRows=FALSE)
## Expand the aa and then the bb column:
expand(df, colnames=c("aa","bb"), keepEmptyRows=TRUE)
expand(df, colnames=c("aa","bb"), keepEmptyRows=FALSE)
## Expand the aa and dd column in parallel:
df$dd <- relist(seq_along(unlist(aa)), aa)
expand(df, colnames=c("aa","dd"), recursive=FALSE)
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