plotqcv {qcv} | R Documentation |
Plot for Quantifying Construct Validity
Description
Produces a plot of actual and predicted correlations
Usage
plotqcv(actr, predr, labels)
Arguments
actr |
vector of actual validity correlations |
predr |
vector of predicted validity correlations (in same order as actr) |
labels |
vector of text values that are the labels of the QCV criterion variables (in order of actr and predr) |
Details
Important: When entering values for the three arguments, order them identically. For example, if the "actr" values are ordered in terms of c(criterion A, criterion B, criterion C), then the values in "predr" and the labels in "labels" should be placed in that same order.
Examples
actrIM <- c(.46, .13, -.24, -.03, .12, .03, .39, .06, .51, .08, .24, .66)
predrIM <- c(.58, .24, -.04, .06, -.04, .18, .36, .08, .64, .56, .36, .56)
labelsIM <- c("Dep","Mach","Dis","Res","SE","Ext","Agr","Comp","PSC","SM","Anx","NTB")
plotqcv(actr=actrIM, predr=predrIM, labels=labelsIM)
[Package qcv version 1.0 Index]