Functions to prepare for categorical parallel coordinates, drawn by catpcp.

Description

factor_spreadout spreads out the data at each factor level. rater_spreadout spreads out the data at each rating level. The rater version is appropriate when the variables (factors) have all the same levels.

Usage

1
2

Arguments

d

A data frame where each variable can be interpreted as a factor.

levs

The rating levels. Specifying this controls the order of rating levels on each axis.

minspace

The minimum amount of space between the bars.

scale

If scale=FALSE, the ith rater values are spreadout about the value i. If scale=TRUE, all values are scaled to 0-1.

Details

factor_spreadout spreads out the data at each factor level. It returns a list with two components. The first is data, containing the spreadout data, scaled to 0-1. The second is bars, which is a list whose ith component gives the bottom and top of the bars for the ith variable of d.

rater_spreadout spreads out the data at each rater level. It returns a list with two components. The first is data, containing the spreadout data. If scale=FALSE, the ith rater values are spreadout about the value i. If scale=TRUE, all values are scaled to 0-1. The second component is bars, which is a list whose ith component gives the bottom and top of the bars for the ith variable of d.