A file with an extension of.XPT is known as a Mozilla Firefox Component. These.XPT files can be opened on Windows and Apple using programs. If there is a more than one dataset in the XPORT format library, a named list of data frames, otherwise a data frame. The columns of the data frames will be either numeric (corresponding to numeric in SAS) or factor (corresponding to character in SAS).
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Importing data into R is fairly simple. For Stata and Systat, use the foreign package. For SPSS and SAS I would recommend the Hmisc package for ease and functionality. See the Quick-R section on packages, for information on obtaining and installing the these packages. Example of importing data are provided below.
From A Comma Delimited Text File
# first row contains variable names, comma is separator
# assign the variable id to row names
# note the / instead of on mswindows systems
mydata <- read.table('c:/mydata.csv', header=TRUE,
sep=',', row.names='id')
(To practice importing a csv file, try this exercise.)
From Excel
One of the best ways to read an Excel file is to export it to a comma delimited file and import it using the method above. Alternatively you can use the xlsx package to access Excel files. The first row should contain variable/column names.
# read in the first worksheet from the workbook myexcel.xlsx
# first row contains variable names
library(xlsx)
mydata <- read.xlsx('c:/myexcel.xlsx', 1)
# read in the worksheet named mysheet
mydata <- read.xlsx('c:/myexcel.xlsx', sheetName = 'mysheet')
(To practice, try this exercise on importing an Excel worksheet into R.)
From SPSS
# save SPSS dataset in trasport format
get file='c:mydata.sav'.
export outfile='c:mydata.por'.
# in R
library(Hmisc)
mydata <- spss.get('c:/mydata.por', use.value.labels=TRUE)
# last option converts value labels to R factors
(To practice importing SPSS data with the foreign package, try this exercise.)
From SAS
# save SAS dataset in trasport format
libname out xport 'c:/mydata.xpt';
data out.mydata;
set sasuser.mydata;
run;
# in R
library(Hmisc)
mydata <- sasxport.get('c:/mydata.xpt')
# character variables are converted to R factors
From Stata
# input Stata file
library(foreign)
mydata <- read.dta('c:/mydata.dta')
Xpt File Extension
Download game forces of freedom apk. (To practice importing Stata data with the foreign package, try this exercise.)
From systat
Xpt File Download On Mac In Recovery
![Xpt File Download On Mac In R Xpt File Download On Mac In R](/uploads/1/2/6/7/126739801/466355792.jpg)
# input Systat file
library(foreign)
mydata <- read.systat('c:/mydata.dta')
Going Further
Try this interactive course: Importing Data in R (Part 1), to work with csv and xlsx files in R. To work with SAS, Stata, and other formats try Part 2.