longitudinalData (version 2.4.7)

reshapeWideToLong: ~ Function: wideToLong (or reshapeWideToLong) ~

Description

This function reshapes a data frame in 'wide' format (repeated measurements in separate column) into a data frame in 'long' format (repeated measurements in the same columns).

Usage

wideToLong(trajWide,times=1:(ncol(trajWide)-1))
reshapeWideToLong(trajWide,times=1:(ncol(trajWide)-1))

Value

A data frame in 'long' format.

Arguments

trajWide

[data.frame]: a data frame in 'wide' format (repeated measurements in separate column). The first column has to be the individual indentier. All the other column should be the trajectories.

times

[vector(numeric)]: specification of the times at wich the longitudinal data have been measured (like ages, year, month). If times is missing, it takes the value 1:(ncol(trajWide)-1).

Author

Christophe Genolini

Details

This function reshapes a data frame in 'wide' format (repeated measurements in separe column) into a data frame in 'long' format (repeated measurements in the same columns). The first column has to be the individual indentier. All the other column should be the trajectories. The missing values are removed in long format.

See Also

longToWide, reshape.

Examples

df3 <- data.frame(id = LETTERS[rep(1:4)], sex=c("H","F","H","F"),
    v1=rnorm(4),v2=rnorm(4),w1=rnorm(4),w2=rnorm(4))

wideToLong(df3[,c(1,3,4)])
wideToLong(df3[,c(1,5,6)])
wideToLong(df3[,c(1,3:6)])
wideToLong(df3[,c(1,3:6)],times=c(1,2,4,8))