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PARSE (version 0.1.0)

summary: summary of the clustering results

Description

Summary of the globally informative variables

Usage

summary(output, y, eps.diff = 1e-5)

Arguments

output
results from parse, apfp, apL1 or nopenalty functions. For the `nopenalty' function, the `short.output' should be FALSE.
y
data.
eps.diff
The lower bound of pairwise difference of two mean values. Any value lower than it is treated as 0.

Value

num.info
the number of globally informative variables
perc.info
the percentage of globally informative variables
info.name
the variable names of the globally informative variables, if the data have no variable name, 'info.name' is the index of the variable

Examples

Run this code
y <- rbind(matrix(rnorm(120,0,1),ncol=4),
matrix(rnorm(120,4,1), ncol=4), matrix(rnorm(120,0,1),ncol=4))
output <- parse(K = c(1:2), lambda = c(0,1), y=y)
output$mu.hat.best
summary(output, y)

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