View source: R/as.data.table.R
| as.data.table | R Documentation |
Functions to check if an object is data.table, or coerce it if possible.
as.data.table(x, keep.rownames=FALSE, ...)
## S3 method for class 'data.table'
as.data.table(x, ..., key=NULL)
## S3 method for class 'array'
as.data.table(x, keep.rownames=FALSE, key=NULL, sorted=TRUE,
value.name="value", na.rm=TRUE, ...)
is.data.table(x)
x |
An R object. |
keep.rownames |
Default is |
key |
Character vector of one or more column names which is passed to |
sorted |
logical used in array method, default |
value.name |
character scalar used in array method, default |
na.rm |
logical used in array method, default |
... |
Additional arguments to be passed to or from other methods. |
as.data.table is a generic function with many methods, and other packages can supply further methods.
If a list is supplied, each element is converted to a column in the data.table with shorter elements recycled automatically. Similarly, each column of a matrix is converted separately.
character objects are not converted to factor types unlike as.data.frame.
If a data.frame is supplied, all classes preceding "data.frame" are stripped. Similarly, for data.table as input, all classes preceding "data.table" are stripped. as.data.table methods returns a copy of original data. To modify by reference see setDT and setDF.
keep.rownames argument can be used to preserve the (row)names attribute in the resulting data.table.
data.table, setDT, setDF, copy, setkey, J, SJ, CJ, merge.data.table, :=, setalloccol, truelength, rbindlist, setNumericRounding, datatable-optimize
nn = c(a=0.1, b=0.2, c=0.3, d=0.4)
as.data.table(nn)
as.data.table(nn, keep.rownames=TRUE)
as.data.table(nn, keep.rownames="rownames")
# char object not converted to factor
cc = c(X="a", Y="b", Z="c")
as.data.table(cc)
as.data.table(cc, keep.rownames=TRUE)
as.data.table(cc, keep.rownames="rownames")
mm = matrix(1:4, ncol=2, dimnames=list(c("r1", "r2"), c("c1", "c2")))
as.data.table(mm)
as.data.table(mm, keep.rownames=TRUE)
as.data.table(mm, keep.rownames="rownames")
as.data.table(mm, key="c1")
ll = list(a=1:2, b=3:4)
as.data.table(ll)
as.data.table(ll, keep.rownames=TRUE)
as.data.table(ll, keep.rownames="rownames")
DF = data.frame(x=rep(c("x","y","z"),each=2), y=c(1,3,6), row.names=LETTERS[1:6])
as.data.table(DF)
as.data.table(DF, keep.rownames=TRUE)
as.data.table(DF, keep.rownames="rownames")
DT = data.table(x=rep(c("x","y","z"),each=2), y=c(1:6))
as.data.table(DT)
as.data.table(DT, key='x')
ar = rnorm(27)
ar[sample(27, 15)] = NA
dim(ar) = c(3L,3L,3L)
as.data.table(ar)
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