In this video, Mark Niemann-Ross demonstrates the use of functions from the foreign package to import SPSS data files. Learn how to use read.spss and write.foreign.
- SPSS is a tremendously popular tool…and there is a lot of statistical data available from it.…R provides a simple way to import SPSS data…into R and let's take a look at that.…The first thing you'll want to do is…make sure the foreign library is available…and for that you use the library foreign command.…When you've done that you will have read.spss available…and here's how it works.…You create a vector, we'll call it readFromSPSS.…
And into that vector we're going…to place the results of read.spss.…The first thing you need to tell read.spss…is where to find the file that you want to import.…And in this case be sure that you set…your current working directory to Chapter 3.…I'm going to select a file from the sample files folder,…I'm going to select spssSample.sav…and by the way, read.spss requires a .sav.…
SPV files won't work.…Once I've selected the file I want to import…I also need to tell it that I want…to import this to a data frame…so I'll us to.data.frame = TRUE.…And when I run that command you'll see that I now…
- Name the three types of big data.
- List three considerations used to determine the appropriate R package for Excel.
- Determine the best package used to import entire Excel workbooks.
- Explain how to import standard text files using base R and tidyverse.
- Define the purpose of the foreign language package for R.
- Recognize restrictions when working on SAS files in the foreign language package.
- Identify the problems involved with extracting data from a PDF in R.
Skill Level Intermediate
R Programming in Data Science: High Volume Datawith Mark Niemann-Ross1h 25m Intermediate
1. Use R with Excel
2. Importing Text Files
3. Understanding the Foreign Package
4. Use R with Popular Data Formats
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