| reshapeWide {base} | R Documentation |
Reshape data frame to wide format
Description
(EXPERIMENTAL). Convert data frame with repeated measurements in long format, 1 row per observation to wide format with repeated observations in multiple variables across rows.
Usage
reshapeWide(x, i=reshape.i, j=reshape.j,
val=reshape.v, jnames=levels(j))
Arguments
x |
The data frame to convert |
i |
Factor or numeric. Indicates observations in same row of the wide format |
j |
Factor or numeric. Indicates observations in same column of wide format |
val |
Value to reshape for. |
jnames |
Names of new variables in reshaped frame |
Details
val, i, and j are interpreted relative to
x.
This essentially places the values of val in a table defined by
i and j, which are assumed to span the data set (exactly
one observation in each cell of their cross-tabulation). Any
other variables in the data frame will be
assumed to have the same value for all values of j (given
i) and are
collapsed into a single value.
Value
The reshaped data frame.
WARNING
There is no check that the names given to the new
columns are
valid identifiers or unique within the data frame. Variables in
x are not checked to have constant values given i.
Bugs
There ought to be a way to have multiple val variables.
Note
The defaults are set to use the names that result
from a call to reshapeLong.
See Also
reshapeLong, unstack
Examples
dd<-as.data.frame(matrix(1:24,4))
(dd1<-reshapeLong(dd,V3:V5))
reshapeWide(dd1)
reshapeWide(dd1,jnames=c("A","B","C"))