lessR (version 2.4.2)

corScree: Eigenvalue Plot of a Correlation Matrix

Description

Abbreviation: scree

Plots the successive eigenvalues of an input correlation matrix. Also plots the successive differences of the eigenvalues. The purpose is usually to help determine the number of factors that explain the correlations in a correlation matrix. So usually ia prelude to an exploratory factor analysis, such as provided by the lessR function corEFA. This program relies upon the standard R exploratory factor analysis factanal, which requires the specified number of factors as an input to the analysis.

Usage

corScree(x=mycor, 
          colors=c("blue", "gray", "rose", "green", "gold", "red"),
          main=NULL, pdf=FALSE, pdf.width=5, pdf.height=5, ...)
scree(...)

Arguments

x

Correlation matrix.

colors

Sets the color palette.

main

Graph title, which is blank by default.

pdf

Indicator as to if the graphic files should be saved as pdf files instead of directed to the standard graphics windows.

pdf.width

Width of the pdf file in inches.

pdf.height

Height of the pdf file in inches.

...

Parameter values.

Details

Interpretation of the scree plot to assist in the assessment of the number of factors that account for the structure of a correlation matrix depends primarily on the analysis of the differences between the successive eigenvalues. The differences begin to diminish where the "scree" begins, analogous to the debris that falls off of a hill top. Accordingly both the scree plot itself, the plot of the successive eigenvalues, and the plot of the differences of the successive eigenvalues are presented.

PDF OUTPUT Because of the customized graphic windowing system that maintains a unique graphic window for the Help function, the standard graphic output functions such as pdf do not work with the lessR graphics functions. Instead, to obtain pdf output, use the pdf.file option, perhaps with the optional pdf.width and pdf.height options. These files are written to the default working directory, which can be explicitly specified with the R setwd function.

If the two plots, of the population and sample distributions respectively, are writted to pdf files, according to pdf=TRUE, they are named Scree.pdf and ScreeDiff.pdf. Their names and the directory to which they are written are povided as part the console output.

See Also

cr.

Examples

# input correlation matrix of perfect two-factor model
# Factor Pattern for each Factor: 0.8, 0.6, 0.4
# Factor-Factor correlation: 0.3
mycor <- matrix(nrow=6, ncol=6, byrow=TRUE,
c(1.000,0.480,0.320,0.192,0.144,0.096,
  0.480,1.000,0.240,0.144,0.108,0.072,
  0.320,0.240,1.000,0.096,0.072,0.048,
  0.192,0.144,0.096,1.000,0.480,0.320,
  0.144,0.108,0.072,0.480,1.000,0.240,
  0.096,0.072,0.048,0.320,0.240,1.000))
colnames(mycor) <- c("V1", "V2", "V3", "V4", "V5", "V6")
rownames(mycor) <- colnames(mycor) 

# obtain the scree plots
corScree()

# abbreviated form
scree()