Data Entry with R’s Text Editor

September 14, 2018
By

(This article was first published on George J. Mount, and kindly contributed to R-bloggers)

Excel’s greatest strength — and its greatest weakness — is the ease of users to manipulate the basic data. Done well and the capability affords flexibility; done poorly and you are left with hard-coded cells and hidden Column A’s.

With R you approach the data differently by writing each step in code. Generally you do not manipulate the basic data itself and instead write a series of steps in code.

Related: 5 Things Excel Users Should Know About R

While this is a general rule of thumb of course it’s a generalization. Excel for its part has the VBA programming language and other advanced techniques for solid workbook design. And R does indeed have a spreadsheet-like data entry tool.

Here’s how to work it:

1.  Create an object

Everything in R is an object and this is a fundamental distinction between R and Excel.

While we can launch a spreadsheet-like viewer for data entry, we first need to pass our data to an object.

To do this we will set up a blank data frame (similar to an Excel table with rows and columns). Leaving the arguments blank in data.frame will result in an empty data frame

myData <- data.frame()

2. Edit data in the viewer

Next we will use the edit function to launch the viewer. Note that I pass our myData data frame back to the myData object — this way the changes we make to this module will be “saved” to the original object.

myData <- edit(myData)

Running this command the Data Editor launches. I am going to complete the table with this small roster.

Name Height IsInjured
Smith 60 FALSE
Wright 57 FALSE
Armstrong 61 TRUE

Change variable names by clicking on their labels and typing your changes. You can also set variables as numeric or character. Note though that you cannot set a variable to logical (the third column); we will have to do that in the syntax editor.

Once your data looks like the above, close the table. Changes are saved automatically.

3. Close & load

Check out the resulting data frame by printing it.

myData

is.logical(myData$IsInjured)
myData$IsInjured <- as.logical(myData$IsInjured)

As mentioned earlier, the data editor does not set columns to logical. We will confirm this by using the is.logical function.

Set the column to logical by using as.logical. The column’s mode changes from character to logical.

See the complete code here…

#create blank data frame
myData <- data.frame()


#edit data in the viewer
myData <- edit(myData)

#close & load
myData

#change IsInjured to Logical
is.logical(myData$IsInjured)
myData$IsInjured <- as.logical(myData$IsInjured)

When will I use this?

As a whole, Excel offers much greater capabilities for data entry. But as a new R user I see this as a powerful tool for starting out, especially if you get stuck renaming columns.

To leave a comment for the author, please follow the link and comment on their blog: George J. Mount.

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