semTools (version 0.5-2)

splitSample: Randomly Split a Data Set into Halves

Description

This function randomly splits a data set into two halves, and saves the resulting data sets to the same folder as the original.

Usage

splitSample(dataset, path = "default", div = 2, type = "default",
  name = "splitSample")

Arguments

dataset

The original data set to be divided. Can be a file path to a *.csv or *.dat file (headers will automatically be detected) or an R object (matrix or dataframe). (Windows users: file path must be specified using FORWARD SLASHES (/) ONLY.)

path

File path to folder for output data sets. NOT REQUIRED if dataset is a filename. Specify ONLY if dataset is an R object, or desired output folder is not that of original data set. If path is specified as "object", output data sets will be returned as a list, and not saved to hard drive.

div

Number of output data sets. NOT REQUIRED if default, 2 halves.

type

Output file format ("dat" or "csv"). NOT REQUIRED unless desired output formatting differs from that of input, or dataset is an R object and csv formatting is desired.

name

Output file name. NOT REQUIRED unless desired output name differs from that of input, or input dataset is an R object. (If input is an R object and name is not specified, name will be "splitSample".)

Value

If path = "object", list of output data sets. Otherwise, output will saved to hard drive in the same format as input.

Details

This function randomly orders the rows of a data set, divides the data set into two halves, and saves the halves to the same folder as the original data set, preserving the original formatting. Data set type (*.csv or *.dat) and formatting (headers) are automatically detected, and output data sets will preserve input type and formatting unless specified otherwise. Input can be in the form of a file path (*.dat or *.csv), or an R object (matrix or dataframe). If input is an R object and path is default, output data sets will be returned as a list object.

Examples

# NOT RUN {
#### Input is .dat file
#splitSample("C:/Users/Default/Desktop/MYDATA.dat")
#### Output saved to "C:/Users/Default/Desktop/" in .dat format
#### Names are "MYDATA_s1.dat" and "MYDATA_s2.dat"

#### Input is R object
## Split C02 dataset from the datasets package
library(datasets)
splitMyData <- splitSample(CO2, path = "object")
summary(splitMyData[[1]])
summary(splitMyData[[2]])
#### Output object splitMyData becomes list of output data sets

#### Input is .dat file in "C:/" folder
#splitSample("C:/testdata.dat", path = "C:/Users/Default/Desktop/", type = "csv")
#### Output saved to "C:/Users/Default/Desktop/" in *.csv format
#### Names are "testdata_s1.csv" and "testdata_s2.csv"

#### Input is R object
#splitSample(myData, path = "C:/Users/Default/Desktop/", name = "splitdata")
#### Output saved to "C:/Users/Default/Desktop/" in *.dat format
#### Names are "splitdata_s1.dat" and "splitdata_s2.dat"

# }