Gather R

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  • Solution
    • tidyr
    • reshape2

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Problem

R using dplyr 'gather' function. Ask Question Asked 3 years, 4 months ago. Track my ip. Active 3 years, 4 months ago. Viewed 9k times 4. I have a dataframe that looks like the. How to use gather programmatically inside an R function? You should use the function gather which takes character vectors, containing column names, instead of unquoted column names The simplified syntax is as follow: gather(data, keycol, valuecol, gathercols).

You want to do convert data from a wide format to a long format.

Many functions in R expect data to be in a long format rather than a wide format. Programs like SPSS, however, often use wide-formatted data.

Solution

There are two sets of methods that are explained below:

  • gather() and spread() from the tidyr package. This is a newer interface to the reshape2 package.
  • melt() and dcast() from the reshape2 package.

There are a number of other methods which aren't covered here, since they are not as easy to use:

  • The reshape() function, which is confusingly not part of the reshape2 package; it is part of the base install of R.
  • stack() and unstack()

Sample data

These data frames hold the same data, but in wide and long formats. They will each be converted to the other format below.

tidyr

From wide to long

Gather Round Easter

Use gather:

Tidyr Gather

In this example, the source columns that are gathered are specified with control:cond2. This means to use all the columns, positionally, between control and cond2. Another way of doing it is to name the columns individually, as in: Remote pc access windows 7.

If you need to use gather() programmatically, you may need to use variables containing column names. To do this, you should use the gather_() function instead, which takes strings instead of bare (unquoted) column names.

Optional: Rename the factor levels of the variable column, and sort.

From long to wide

Use spread:

Optional: A few things to make the data look nicer.

The order of factor levels determines the order of the columns. The level order can be changed before reshaping, or the columns can be re-ordered afterward.

reshape2

From wide to long

Use melt:

There are options for melt that can make the output a little easier to work with:

If you leave out the measure.vars, melt will automatically use all the other variables as the id.vars. The reverse is true if you leave out id.vars.

If you don't specify variable.name, it will name that column 'variable', and if you leave out value.name, it will name that column 'measurement'.

Optional: Rename the factor levels of the variable column.

From long to wide

R how to use gather

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The following code uses dcast to reshape the data. This function is meant for data frames; if you are working with arrays or matrices, use acast instead.

Optional: A few things to make the data look nicer.

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The order of factor levels determines the order of the columns. The level order can be changed before reshaping, or the columns can be re-ordered afterward.





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