specmine (version 2.0.3)

read_dataset_csv: Read dataset from CSV

Description

Reads the data from a CSV file and creates the dataset.

Usage

read_dataset_csv(filename.data, filename.meta = NULL, 
type = "undefined", description = "", label.x = NULL, 
label.values = NULL, sample.names = NULL, format = "row", 
header.col = TRUE, header.row = TRUE, sep = ",", 
header.col.meta = TRUE, header.row.meta = TRUE, sep.meta = ",")

Arguments

filename.data

name of the data file.

filename.meta

name of the metadata file.

type

type of the data.

description

a short text describing the dataset.

label.x

the label for the x values.

label.values

the label for the y values.

sample.names

the names of the samples.

format

format which the data are in the CSV file. It can be "row" if the samples are in the rows or "col" if the samples are in the columns.

header.col

boolean value indicating if the CSV contains a header column with the names of the samples or variables.

header.row

boolean value indicating if the CSV contains a header row with the names of the samples or variables.

sep

the separator character.

header.col.meta

boolean value indicating if the metadata CSV file contains a header column with the name of the metadata variables.

header.row.meta

boolean value indicating if the metadata CSV file contains a header row with the name of the samples.

sep.meta

the separator character of the metadata file.

Value

Returns the dataset from the CSV file.

Examples

# NOT RUN {
  ## Example of reading a dataset from a CSV file
  dataset = read_dataset_csv("data.csv", "metadata.csv", 
	    type = "nmr-spectra", 
	    description ="description of the dataset", 
	    label.x = "ppm", label.values = "intensity")
# }