# wideByFactor

0th

Percentile

##### Create multivariate data by a given factor

wideByFactor modifies data.frame in such a way that variables are “separated” into several columns by factor levels.

Keywords
misc, manip
##### Usage
wideByFactor(x, factor, common, sort=TRUE, keepFactor=TRUE)
##### Arguments
x

data frame

factor

character, column name of a factor by which variables will be divided

common

character, column names of (common) columns that should not be divided

sort

logical, sort resulting data frame by factor levels

keepFactor

logical, keep the ‘factor’ column

##### Details

Given data frame is modified in such a way, that output represents a data frame with $c + f + n * v$ columns, where $c$ is a number of common columns for all levels of a factor, $f$ is a factor column, $n$ is a number of levels in factor $f$ and $v$ is a number of variables that should be divided for each level of a factor. Number of rows stays the same!

##### Value

A data frame where divided variables have sort of “diagonalized” structure

reshape in the stats package, melt and cast in the reshape package

• wideByFactor
##### Examples
n <- 10
f <- 2
tmp <- data.frame(y1=rnorm(n=n),
y2=rnorm(n=n),
f1=factor(rep(letters[1:f], n/2)),
f2=factor(c(rep(c("M"), n/2), rep(c("F"), n/2))),
c1=1:n,
c2=2*(1:n))

wideByFactor(x=tmp, factor="f1", common=c("c1", "c2", "f2"))
wideByFactor(x=tmp, factor="f1", common=c("c1", "c2"))

Documentation reproduced from package gdata, version 2.18.0, License: GPL-2

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