read.data: Data Input

In LearningStats: Elemental Descriptive and Inferential Statistics

Description

read.data allows to read a file and create a data frame from it. Wrapper for different data input functions available, namely data.table::fread, readxl::read_excel, haven::read_sas, haven::read_sav, haven::read_dta and readODS::read_ods. The file extensions supported are: csv, dat, data, dta, ods, RDa, RData, sas7bdat, sav, txt, xls and xlsx.

Usage

read.data(name, dec = ".", header = "auto", sheet = 1, ...)

Arguments

name	a character string with the name of the file including the file extension from which the data are to be read from.
dec	a character string indicating the decimal separator for txt, csv, dat and data files. If not "." (default) then usually ",".
header	a character string indicating if the first data line contains column names, as in data.table::fread. Defaults according to whether every non-empty field on the first data line is type character; if so, or TRUE is supplied, then the first row is considered as the variables names and any empty column names are given a default name.
sheet	the sheet to read for xls, xlsx and ods files. Either a string (the name of a sheet) or an integer (the position of the sheet). If not specified, defaults to the first sheet.
...	Further arguments to be passed to data.table::fread, readxl::read_excel, haven::read_sas, haven::read_sav, haven::read_dta or readODS::read_ods.

Value

A data.frame containing the data in the specified file or, if Rdata or Rda, an object of class "ls_str".

Examples

data <- data.frame(V1 = 1:5*0.1, V2 = 6:10)
tf <- tempfile("tp", fileext = c(".csv", ".txt", ".RData"))

write.csv(data, tf[1], row.names = FALSE)
read.data(tf[1])                             # csv
write.csv2(data, tf[1], row.names = FALSE)
read.data(tf[1], dec = ",")                  # csv2
write.table(data, tf[2], row.names = FALSE)
read.data(tf[2])                             # txt
save(data, file = tf[3])
read.data(tf[3])                             # RData

LearningStats documentation built on April 21, 2021, 9:06 a.m.