psych (version 1.3.2)

psych.misc: Miscellaneous helper functions for the psych package

Description

This is a set of minor, if not trivial, helper functions. lowerCor finds the correlation of x variables and then prints them using lowerMat which is a trivial, but useful, function to round off and print the lower triangle of a matrix. reflect reflects the output of a factor analysis or principal components analysis so that one or more factors is reflected. (Requested by Alexander Weiss.) progressBar prints out ... as a calling routine (e.g., tetrachoric works through a tedious calculation.

Usage

psych.misc()
lowerCor(x,digits=2,use="pairwise",method="pearson")
lowerMat(R, digits = 2)
reflect(f,flip=NULL)
progressBar(value,max,label=NULL)

Arguments

R

A rectangular matrix or data frame (probably a correlation matrix)

x

A data matrix or data frame

digits

round to digits

use

Should pairwise deletion be done, or one of the other options to cor

method

"pearson", "kendall", "spearman"

value

the current value of some looping variable

max

The maximum value the loop will achieve

label

what function is looping

f

The object returned from either a factor analysis (fa) or a principal components analysis (principal)

flip

The factor or components to be reversed keyed (by factor number)

Value

• The lower triangle of a matrix, rounded to digits with titles abbreviated to digits + 3 (lowerMat) or a series of dots (progressBar).

  lowerCor prints the lower diagonal correlation matrix but returns (invisibly) the full correlation matrix found with the use and method parameters.

Examples

lowerMat(Thurstone)
lowerCor(bfi[1:10])
f3 <- fa(Thurstone,3)
f3r <- reflect(f3,2)  #reflect the second factor