R Graphical Manual

Browse All

Last data update: 2014.03.03

R: Summary method for Principal Components Analysis

summary.princomp

R Documentation

Summary method for Principal Components Analysis

Description

The summary method for class "princomp".

Usage

## S3 method for class 'princomp'
summary(object, loadings = FALSE, cutoff = 0.1, ...)

## S3 method for class 'summary.princomp'
print(x, digits = 3, loadings = x$print.loadings,
      cutoff = x$cutoff, ...)

Arguments

`object`	an object of class `"princomp"`, as from `princomp()`.
`loadings`	logical. Should loadings be included?
`cutoff`	numeric. Loadings below this cutoff in absolute value are shown as blank in the output.
`x`	an object of class "summary.princomp".
`digits`	the number of significant digits to be used in listing loadings.
`...`	arguments to be passed to or from other methods.

Value

object with additional components cutoff and print.loadings.

Examples

summary(pc.cr <- princomp(USArrests, cor = TRUE))
## The signs of the loading columns are arbitrary
print(summary(princomp(USArrests, cor = TRUE),
              loadings = TRUE, cutoff = 0.2), digits = 2)

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(stats)
> png(filename="/home/ddbj/snapshot/RGM3/R_rel/result/stats/summary.princomp.Rd_%03d_medium.png", width=480, height=480)
> ### Name: summary.princomp
> ### Title: Summary method for Principal Components Analysis
> ### Aliases: summary.princomp print.summary.princomp
> ### Keywords: multivariate
> 
> ### ** Examples
> 
> summary(pc.cr <- princomp(USArrests, cor = TRUE))
Importance of components:
                          Comp.1    Comp.2    Comp.3     Comp.4
Standard deviation     1.5748783 0.9948694 0.5971291 0.41644938
Proportion of Variance 0.6200604 0.2474413 0.0891408 0.04335752
Cumulative Proportion  0.6200604 0.8675017 0.9566425 1.00000000
> ## The signs of the loading columns are arbitrary
> print(summary(princomp(USArrests, cor = TRUE),
+               loadings = TRUE, cutoff = 0.2), digits = 2)
Importance of components:
                          Comp.1    Comp.2    Comp.3     Comp.4
Standard deviation     1.5748783 0.9948694 0.5971291 0.41644938
Proportion of Variance 0.6200604 0.2474413 0.0891408 0.04335752
Cumulative Proportion  0.6200604 0.8675017 0.9566425 1.00000000

Loadings:
         Comp.1 Comp.2 Comp.3 Comp.4
Murder   -0.54   0.42  -0.34   0.65 
Assault  -0.58         -0.27  -0.74 
UrbanPop -0.28  -0.87  -0.38        
Rape     -0.54          0.82        
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>