importSample: Sample importation

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

Sample importation

Description

Import the required and the optional files, and build a dataset.

Usage

importSample(
  file.features = "",
  file.meta = "",
  file.profiles = "",
  file.RDS = "",
  file.config = "",
  dir.images = "",
  dir.save = "",
  sepFeat = ",",
  decFeat = ".",
  naFeat = c("", "NA"),
  sepSig = ",",
  decSig = ".",
  naSig = c("", "NA"),
  headerCSV = TRUE,
  RclusTool.env = new.env(),
  ...
)

Arguments

file.features	character vector specifying the csv file containing features data.
file.meta	character vector specifying the txt file containing metadata.
file.profiles	character vector specifying the csv file containing profiles data.
file.RDS	character vector for a RDS file containing a data.sample object. This file is automatically saved when importing a (csv-)file-features. When both a csv-file-features and a RDS file are given, the last one is ignored.
file.config	character vector for the name of the configuration file.
dir.images	character vector containing the path of images directory.
dir.save	character vector specifying path of the working directory to save results ; "" to not save any results
sepFeat	character specifying the field separator for the csv file containing features data.
decFeat	character specifying the decimal points for the csv file containing features data.
naFeat	vector containing missing values for the csv file containing features data.
sepSig	character specifying the field separator for the csv file containing profiles data.
decSig	character specifying the decimal point for the csv file containing profiles data.
naSig	vector containing missing values for the csv file containing profiles data.
headerCSV	boolean if TRUE (default) the file contains the names of the variables as its first line.
RclusTool.env	environment in which data and intermediate results are stored.
...	parameters adressed to read.csv functions.

Details

function to import sample from CSV files; sample is preprocessed

Value

data.sample loaded data.sample.

See Also

loadSample

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))
tf1 <- tempfile()
write.table(dat, tf1, sep=",", dec=".")

metadat <- rbind("First metadata: ...", "Second metadata: ...")
tf2 <- tempfile()
writeLines(metadat, tf2)

x <- importSample(file.features=tf1, file.meta=tf2)

RclusTool documentation built on Aug. 29, 2022, 9:07 a.m.