summary.monte: Summary Method for an Object of Class Monte
In fungible: Psychometric Functions from the Waller Lab

summary.monte

R Documentation

Summary Method for an Object of Class Monte

Description

summary method for class “monte"

Usage

## S3 method for class 'monte'
summary(
  object,
  digits = 3,
  compute.validities = FALSE,
  Total.stats = TRUE,
  ...
)

Arguments

`object`	An object of class `monte`, usually, a result of a call to `monte`.
`digits`	Number of digits to print. Default = 3.
`compute.validities`	Logical: If TRUE then the program will calculate the indicator validities (eta^2) for the generated data.
`Total.stats`	Logical: If TRUE then the program will return the following statistics for the total sample: (1) indicator correlation matrix, (2) indicator skewness, (3) indicator kurtosis.
`...`	Optional arguments.

Value

Various descriptive statistics will be computed within groups including"

clus.size: Number of objects within each group.
centroids: Group centroids.
var.matrix: Within group variances.
cor.list: Expected within group correlations.
obs.cor: Observed within group correlations.
skew.list: Expected within group indicator skewness values.
obs.skew: Observed within group indicator skewness values.
kurt.list: Expected within group indicator kurtosis values.
obs.kurt: Observed within group indicator kurtosis values.
validities: Observed indicator validities.
Total.cor: Total sample correlation matrix.
Total.skew: Total sample indicator skewness.
Total.kurt: Total sample indicator kurtosis.

Examples


## set up a 'monte' run for the Fisher iris data

sk.lst <- list(c(0.120,  0.041,  0.106,  1.254),                     #
                c(0.105, -0.363, -0.607, -0.031),
                c(0.118,  0.366,  0.549, -0.129) )
              
              
kt.lst <- list(c(-0.253, 0.955,  1.022,  1.719),
                c(-0.533,-0.366,  0.048, -0.410),
                c( 0.033, 0.706, -0.154, -0.602))
                
cormat <- lapply(split(iris[,1:4],iris[,5]), cor)

my.iris <- monte(seed = 123, nvar = 4, nclus = 3, cor.list = cormat, 
	              clus.size = c(50, 50, 50),
                eta2 = c(0.619, 0.401, 0.941, 0.929), 
                random.cor = FALSE,
                skew.list = sk.lst, kurt.list = kt.lst, 
                secor = .3, 
                compactness = c(1, 1, 1), 
                sortMeans = TRUE)
summary(my.iris)

fungible documentation built on May 29, 2024, 8:28 a.m.