paretoXX {iopsych} | R Documentation |
Computes data needed for a XX Pareto plot.
Description
Computes data needed for a XX Pareto plot.
Usage
paretoXX(r_mat, x_col, y_col, pts = 100)
Arguments
r_mat |
A correlation matrix. |
x_col |
A vector of columns representing predictor variables. |
y_col |
A vector of columns representing criterion variables. |
pts |
The number of points used. Determines accuracy. |
Value
betasA matrix of beta weights for each criteria weight
wt_oneThe weight given to the first criterion
multiple_rThe correlation between the predictor and criterion composites
Author(s)
Allen Goebl and Jeff Jones
Examples
# Setup Data
data(dls2007)
r_mat <- dls2007[1:6, 2:7]
#Run Model
XX1 <- paretoXX(r_mat=r_mat, x_col=1:4, y_col=5:6)
# Plot Multiple correlations
plot(c(0,1), c(.3,.5), type="n", xlab="C1 Wt", ylab="mr")
lines(XX1$wt_one, (XX1$R2)[,1])
lines(XX1$wt_one, (XX1$R2)[,2])
[Package iopsych version 0.90.1 Index]