For importing data in R from XML files, we need to install the XML package, which can be done as follows: install.packages("XML") To read XML files, we use the in-built function xmlParse(). For example: #To load required xml package to read XML files library("XML") #To load ...
Find out how to import data into R, including CSV, JSON, Excel, HTML, databases, SAS, SPSS, Matlab, and other files using the popular R packages.
Now, we export this state file to a data frame with the help of the function read_stata. The index_col is used to assign an index label to the data frame. The data frame is stored in the variable called df. A brief description of the columns of the data frame is displayed in the...
Why reprex? Getting unstuck is hard. Your first step here is usually to create a reprex, or reproducible example. The goal of a reprex is to package your code, and information about your problem so that others can run it…
Learn about factor analysis - a simple way to condense the data in many variables into a just a few variables.
Another cool feature is that the Tidyverse provideshavenpackage to import/export data by using SPSS, Stata, and SAS formats. Instructions for Mac users Install R and RStudio Installing R on Mac can be problematic. What I’ve heard from my students is that software dependencies can be a huge...
I show how to import fixed width data into R, manipulate it using packages, and export it to CSV. I then use it in calculators on this site you can try out!
PROC EXPORT DATA=MYLIB.MYDATA OUTFILE="mydataFromSAS.txt" DBMS=TAB REPLACE; PUTNAMES=YES; SPSS 1 2 3 4 5 6 7 SAVE TRANSLATE OUTFILE='mydataFromSPSS.dat' /TYPE=TAB /MAP /REPLACE /FIELDNAMES /CELLS=VALUES. Stata 1 2 3 use mydata,clear ...