psych (version 1.8.3.3)

test.psych: Testing of functions in the psych package

Description

Test to make sure the psych functions run on basic test data sets

Usage

test.psych(first=1,last=5,short=TRUE,all=FALSE,fapc=FALSE)

Arguments

first

first=1: start with dataset first

last

last=5: test for datasets until last

short

short=TRUE - don't return any analyses

all

To get around a failure on certain Solaris 32 bit systems, all=FALSE is the default

fapc

if fapc=TRUE, then do a whole series of tests of factor and principal component extraction and rotations.

Value

out

if short=FALSE, then list of the output from all functions tested

Warning

Warning messages will be thrown by fa.parallel and sometimes by fa for random datasets.

Details

When modifying the psych package, it is useful to make sure that adding some code does not break something else. The test.psych function tests the major functions on various standard data sets. It also shows off a number of the capabilities of the psych package.

Uses 5 standard data sets: USArrests Violent Crime Rates by US State (4 variables) attitude The Chatterjee-Price Attitude Data Harman23.cor$cov Harman Example 2.3 8 physical measurements Harman74.cor$cov Harman Example 7.4 24 mental measurements ability.cov$cov 8 Ability and Intelligence Tests

It also uses the bfi and ability data sets from psych

Examples

# NOT RUN {
#test <- test.psych()
#not run
#test.psych(all=TRUE)
#    f3 <- fa(bfi[1:15],3,n.iter=5)
#    f3 <- fa(bfi[1:15],3,n.iter=5,rotate="Varimax")
#    f3 <- fa(bfi[1:15],3,n.iter=5,rotate="varimax")
#    f3 <- fa(bfi[1:15],3,n.iter=5,rotate="bifactor")
#    f3 <- fa(bfi[1:15],3,n.iter=5,rotate="varimin")
#    f3 <- fa(bfi[1:15],3,n.iter=5,rotate="bentlerT")
#    f3 <- fa(bfi[1:15],3,n.iter=5,rotate="geominT")
#    f3 <- fa(bfi[1:15],3,n.iter=5,rotate="equamax")
#    f3 <- fa(bfi[1:15],3,n.iter=5,rotate="Promax")
#    f3 <- fa(bfi[1:15],3,n.iter=5,rotate="cluster")
#    f3 <- fa(bfi[1:15],3,n.iter=5,rotate="biquartimin")
#    f3 <- fa(bfi[1:15],3,n.iter=5,rotate="equamax")
#    f3 <- fa(bfi[1:15],3,n.iter=5,rotate="Promax")
#    
#     fpoly <- fa(bfi[1:10],2,n.iter=5,cor="poly")
#     f1 <- fa(ability,n.iter=4)
#     f1p <- fa(ability,n.iter=4,cor="tet")


# }