Most R experts will discourage newbies from "cheating" this way: Falling back on SQL makes it less likely you'll power through learning R syntax. However, it's there for you in a pinch -- or as a useful way to double-check whether you're getting back the expected results from an R expression.
Examine and edit data with a GUI
Speaking of cheating, if you don't want to use the command line to examine and edit your data, R has a couple of options. The
edit() function brings up an editor where you can look at and edit an R object, such as
This can be useful if you have a data set with a lot of columns that are wrapping in the small command-line window. However, since there's no way to save your work as you go along -- changes are saved only when you close the editing window -- and there's no command-history record of what you've done, the edit window probably isn't your best choice for editing data in a project where it's important to repeat/reproduce your work.
In RStudio you can also examine a data object (although not edit it) by clicking on it in the workspace tab in the upper-right window.
Saving and exporting your data
In addition to saving your entire R workspace with the
save.image() function and various ways to save plots to image files, you can save individual objects for use in other software. For example, if you have a data frame just so and would like to share it with colleagues as a tab- or comma-delimited file, say for importing into a spreadsheet, you can use the command:
write.table(myData, "testfile.txt", sep="\t")
This will export all the data from an R object called
myData to a tab-separated file called testfile.txt in the current working directory. Changing
sep="c" will generate a comma-separated file and so on.
See the entire beginner's guide to R:
This article, Beginner's guide to R: Syntax quirks you'll want to know, was originally published at Computerworld.com.
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This story, "Beginner's guide to R: Syntax quirks you'll want to know" was originally published by Computerworld.