purgeSample: Sample purging

In RclusTool: Graphical Toolbox for Clustering and Classification of Data Frames

Sample purging

Description

Purge sample from its temporary computing results.

Usage

purgeSample(
  data.sample,
  purge.preprocessing = TRUE,
  purge.clustering = TRUE,
  user.expert = FALSE
)

Arguments

data.sample	sample object
purge.preprocessing	boolean: if TRUE (default), the configuration is reset.
purge.clustering	boolean: if TRUE (default), the clusterings are reset.
user.expert	boolean : if FALSE (default), initial classification feature space is PCA.

Details

Function to purgeSample from its temporary computing results

Value

data.sample purged data.sample.

Examples

dat <- rbind(matrix(rnorm(100, mean = 0, sd = 0.3), ncol = 2), 
             matrix(rnorm(100, mean = 2, sd = 0.3), ncol = 2), 
             matrix(rnorm(100, mean = 4, sd = 0.3), ncol = 2))
tf <- tempfile()
write.table(dat, tf, sep=",", dec=".")

x <- importSample(file.features=tf)
x <- computeUnSupervised(x, K=3, method.name="K-means")
x <- purgeSample(x, purge.clustering=TRUE)

RclusTool documentation built on May 29, 2024, 5:23 a.m.