tstrsplit {data.table} | R Documentation |
strsplit and transpose the resulting list efficiently
Description
This is equivalent to transpose(strsplit(...))
. This is a convenient wrapper function to split a column using strsplit
and assign the transposed result to individual columns. See examples.
Usage
tstrsplit(x, ..., fill=NA, type.convert=FALSE, keep, names=FALSE)
Arguments
x |
The vector to split (and transpose). |
... |
All the arguments to be passed to |
fill |
Default is |
type.convert |
|
keep |
Specify indices corresponding to just those list elements to retain in the transposed result. Default is to return all. |
names |
|
Details
It internally calls strsplit
first, and then transpose
on the result.
names
argument can be used to return an auto named list, although this argument does not have any effect when used with :=
, which requires names to be provided explicitly. It might be useful in other scenarios.
Value
A transposed list after splitting by the pattern provided.
See Also
data.table
, transpose
, type.convert
Examples
x = c("abcde", "ghij", "klmnopq")
strsplit(x, "", fixed=TRUE)
tstrsplit(x, "", fixed=TRUE)
tstrsplit(x, "", fixed=TRUE, fill="<NA>")
# using keep to return just 1,3,5
tstrsplit(x, "", fixed=TRUE, keep=c(1,3,5))
# names argument
tstrsplit(x, "", fixed=TRUE, keep=c(1,3,5), names=LETTERS[1:3])
DT = data.table(x=c("A/B", "A", "B"), y=1:3)
DT[, c("c1") := tstrsplit(x, "/", fixed=TRUE, keep=1L)][]
DT[, c("c1", "c2") := tstrsplit(x, "/", fixed=TRUE)][]
# type.convert argument
DT = data.table(
w = c("Yes/F", "No/M"),
x = c("Yes 2000-03-01 A/T", "No 2000-04-01 E/R"),
y = c("1/1/2", "2/5/2.5"),
z = c("Yes/1/2", "No/5/3.5"),
v = c("Yes 10 30.5 2000-03-01 A/T", "No 20 10.2 2000-04-01 E/R"))
# convert each element in the transpose list to type factor
DT[, tstrsplit(w, "/", type.convert=as.factor)]
# convert part and leave any others
DT[, tstrsplit(z, "/", type.convert=list(as.numeric=2:3))]
# convert part with one function and any others with another
DT[, tstrsplit(z, "/", type.convert=list(as.factor=1L, as.numeric))]
# convert the remaining using 'type.convert(x, as.is=TRUE)' (i.e. what type.convert=TRUE does)
DT[, tstrsplit(v, " ", type.convert=list(as.IDate=4L, function(x) type.convert(x, as.is=TRUE)))]