Compute

Applying Function to all Rows

Applies a function across all rows of the selected variables (columns) in a dataset. User can use the select function and the pipe ( %>% ) operator from the dplyr package to select the variables whose rows we will apply a function to. (These variables are piped into the apply function)

Dummy code

In this section variables entered are dummy coded. New variables are created with the name in the format "variable name_level name".

Compute Variable

Computes an expression and stores the result in a variable/column of a dataframe/dataset.

The arguments used is executing the dialog are given as follows.

Conditional Compute

Conditional Compute Multiple

Cumulative Statistics Variable

This dialog creates a new variable that stores the cumulative value of a chosen statistic as you go down the rows in the current order of the dataset. User can optionally compute this cumulative value within one or more groups.

.New Variable Name: Name of variable that will store the cumulative values

Variable for Cumulative Statistic: Variable for which the cumulative values will be computed. Must be numeric.

Variables to Group By: Optional variables to compute the cumulative statistic within.

Cumulative Statistic: Which statistic will be used for the cumulative statistic.

cumsum

cumulative sum

cummin

cumulative minimum

cummax

cumulative maximum

cummean

cumulative mean

cummedian

cumulative median

cumgmean

cumulative geometric mean

cumhmean

cumulative harmonic mean

cumvar

cumulative variance