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Last data update: 2014.03.03

R: reads data from files into an R data frame.

read_data

R Documentation

reads data from files into an R data frame.

Description

Reads data from several types of data storage types into an R data frame.

Usage

read_data(filepath, type=c("csv","delim","folder"), index=NULL, ...)

Arguments

`filepath`	Character string of the name of the file or folder, include path if the file is not located in the working directory.
`type`	Character vector specifying the file type. Options include `csv`, `delim`, and `folder` to denote .csv files, delimited files (tab, pipe, etc.) files, or folders of text files. If using the `delim` option, be sure to pass in a separate `sep` parameter to indicate how the file is delimited.
`index`	The path to a CSV file specifying the training label of each file in the folder of text files, one per line. An example of one line would be `1.txt,1`. Do not include the full file path for each file, that will be handled automatically using the folder location passed into `filepath`. This index file must be located outside the folder of files.
`...`	Other arguments passed to R's `read.csv` function.

Value

An data.frame object is returned with the contents of the file.

Author(s)

Loren Collingwood <lorenc2@uw.edu>, Timothy P. Jurka <tpjurka@ucdavis.edu>

Examples

library(RTextTools)
data <- read_data(system.file("data/NYTimes.csv.gz",package="RTextTools"),type="csv",sep=";")

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> library(RTextTools)
Loading required package: SparseM

Attaching package: 'SparseM'

The following object is masked from 'package:base':

    backsolve

> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/RTextTools/read_data.Rd_%03d_medium.png", width=480, height=480)
> ### Name: read_data
> ### Title: reads data from files into an R data frame.
> ### Aliases: read_data
> ### Keywords: method
> 
> ### ** Examples
> 
> library(RTextTools)
> data <- read_data(system.file("data/NYTimes.csv.gz",package="RTextTools"),type="csv",sep=";")
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>