summary: summary of the clustering results

Description Usage Arguments Value Examples

View source: R/summary_parse_fit.R

Description

Summary of the globally informative variables

Usage

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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

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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)

PARSE documentation built on May 30, 2017, 1:16 a.m.