psych (version 1.6.12)

print.psych: Print and summary functions for the psych class

Description

Give limited output (print) or somewhat more detailed (summary) for most of the functions in psych.

Usage

"print"(x,digits=2,all=FALSE,cut=NULL,sort=FALSE,short=TRUE,lower=TRUE,signif=NULL,...)
"summary"(object,digits=2,items=FALSE,...)
"anova"(object,object2,...)

Arguments

x

Output from a psych function (e.g., factor.pa, omega,ICLUST, score.items, cluster.cor

object

Output from a psych function

items

items=TRUE (default) does not print the item whole correlations

digits

Number of digits to use in printing

all

if all=TRUE, then the object is declassed and all output from the function is printed

cut

Cluster loadings < cut will not be printed. For the factor analysis functions (fa and factor.pa etc.), cut defaults to 0, for ICLUST to .3, for omega to .2.

sort

Cluster loadings are in sorted order

short

Controls how much to print

lower

For square matrices, just print the lower half of the matrix

object2

Another object from fa or omega

signif

If not NULL, a numeric value, show just signif number of leading digits for describe output

...

More options to pass to summary and print

Value

score.items, cluster.cor, cluster.loadings, or ICLUST) for details on what is produced.The signf option is available for the output from describe to adjust the number of digits shown for all columns. This is slightly different from what happens if you specify digits, which rounds all output to the number of digits. print(x,signif=3) will print just the 3 largest digits of x, which will frequently result in scientific notation for any column where that would be appropriate for at least one row.

Details

Most of the psych functions produce too much output. print.psych and summary.psych use generic methods for printing just the highlights. To see what else is available, ask for the structure of the particular object: (str(theobject) ).

Alternatively, to get complete output, unclass(theobject) and then print it. This may be done by using the all=TRUE option.

As an added feature, if the promax function is applied to a factanal loadings matrix, the normal output just provides the rotation matrix. print.psych will provide the factor correlations. (Following a suggestion by John Fox and Uli Keller to the R-help list). The alternative is to just use the Promax function directly on the factanal object.

Examples

data(bfi)
 keys.list <- list(agree=c(-1,2:5),conscientious=c(6:8,-9,-10),
 extraversion=c(-11,-12,13:15),neuroticism=c(16:20),openness = c(21,-22,23,24,-25))
 keys <- make.keys(25,keys.list,item.labels=colnames(bfi[1:25]))
 scores <- score.items(keys,bfi[1:25])
 scores
 summary(scores)