Export Data from R (csv , txt and other formats) | R Tutorial 1.6 | MarinStatsLectures


Export data out of R: How to Export Data out of R and Save in Various Formats: csv, tab-delimited, space-delimited. Find the Practice Dataset(DataToExport) and R Script: ( 👍🏼Best Statistics & R Programming Language Tutorials: ( )

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How to export data out of R and save in various formats such as csv, tab-delimited, space-delimited:
▶︎ In this R programming video tutorial, you will learn to use various R functions such as “write.table”, “write.csv”, “write.csv2”, “write.command” and “write.delim” to export data out of R.
▶︎ In this tutorial, you will learn to use “sep” argument to specify the file format or separator for the values, “row.names” argument to include or exclude the row names.

◼︎ Table of Content:

0:00:34 Introducing the ‘write. table’ command for exporting data out of R.
0:00:39 How to access the help menu for a command in R
0:00:53 How to use the ‘write.table’ command in R Software
0:01:08 How to use “sep” argument to specify the file format or separator for the values in R
0:01:50 How to include or exclude the row names while exporting data out of R Programming software using ‘row.names’ argument
0:02:21 How to save file exported from R to a folder other than the current working directory:
0:03:01 How to use the “write.csv” command to export data from R (this will not require using “sep” argument as it is implied in the write.csv that we would like this to be saved as a comma separated value file)
0:03:22 a quick overview of “write.csv2” command that is used in Western Europe and would use a comma for a decimal point and a semicolon for a separator rather than a comma
0:03:33 How to use write.command in for saving in other file formats for example a tab delimited text file

These video tutorials are useful for anyone interested in learning data science and statistics with R programming language using RStudio.

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â–şGetting Started with R (Series 1):
â–şGraphs and Descriptive Statistics in R (Series 2):
â–şProbability distributions in R (Series 3):
â–şBivariate analysis in R (Series 4):
â–şLinear Regression in R (Series 5):
â–şANOVA Concept and with R
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Content Creator: Mike Marin (B.Sc., MSc.) Senior Instructor at UBC.
Producer and Creative Manager: Ladan Hamadani (B.Sc., BA., MPH)

These videos are created by #marinstatslectures to support some courses at The University of British Columbia (UBC) (#IntroductoryStatistics and #RVideoTutorials for Health Science Research), although we make all videos available to the everyone everywhere for free.

Thanks for watching! Have fun and remember that statistics is almost as beautiful as a unicorn!



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