RclusTool (version 0.91.61)

applyPreprocessing: Preprocessing application

Description

Apply a new preprocess to a data.sample object.

Usage

applyPreprocessing(
  data.sample,
  operations = NULL,
  RclusTool.env = initParameters(),
  reset = TRUE,
  preprocessed.only = FALSE
)

Value

The data.sample sample object on which was applied the operations or NULL if preprocessing operations fail.

Arguments

data.sample

sample object.

operations

list of data.frames describing all preprocessing operations.

RclusTool.env

environment in which all global parameters, raw data and results are stored.

reset

boolean : if TRUE (default) the configuration is reset.

preprocessed.only

boolean : if TRUE (default) processing are restricted to the "preprocessed" features.

Details

applyPreprocessing applies a new preprocess to a data.sample object

See Also

loadPreprocessFile

Examples

dat <- rbind(matrix(rnorm(150, mean = 2, sd = 0.3), ncol = 3), 
             matrix(rnorm(150, mean = 4, sd = 0.3), ncol = 3), 
             matrix(rnorm(150, mean = 6, sd = 0.3), ncol = 3))
colnames(dat) <- c("x","y","z")
tf1 <- tempfile()
write.table(dat, tf1, sep=";", dec=",")
x <- importSample(file.features=tf1, sepFeat=";", decFeat=",")

instr <- rbind(c("select","x","log",""), c("select","y","log",""))
tf2 <- tempfile()
write.table(instr, tf2, sep=",", col.names = FALSE, row.names = FALSE)

operations <- loadPreprocessFile(tf2)
x <- applyPreprocessing(x, operations)