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.
wideByFactor(x, factor, common, sort=TRUE, keepFactor=TRUE)
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 |
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!
A data frame where divided variables have sort of “diagonalized” structure
Gregor Gorjanc
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"))Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.