Computations - The Average of Each Row

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This rule adds an extra column to the right of the table which shows the average of the statistics that are shown in the rows. Columns which are duplicates of other columns, for example, and the NET row, are not included in the computation of the average. If there is more than one statistic in the table, the user may select the statistic to use.



Technical details

Statistical tests are not performed on these cells.

How to apply this rule

For the first time in a project

  • Select the table(s)/chart(s) that you wish to apply the rule to.
  • Start typing the name of the Rule into the Search features and data box in the top right of the Q window.
  • Click on the Rule when it appears in the QScripts and Rules section of the search results.


  • Select Automate > Browse Online Library.
  • Choose this rule from the list.

Additional applications of the rule

  • Select a table or chart that has the rule and any table(s)/chart(s) that you wish to apply the rule to.
  • Click on the Rules tab (bottom-left of the table/chart).
  • Select the rule that you wish to apply.
  • Click on the Apply drop-down and choose your desired option.
  • Check New items to have it automatically applied to new items that you create. Use Edit > Project Options > Save as Template to create a new project template that automatically uses this rule.

Removing the rule

  • Select the table(s)/chart(s) that you wish to remove the rule from.
  • Press the Rules tab (bottom-right corner).
  • Press Apply next to the rule you wish to remove and choose the appropriate option.

How to modify the rule

  • Click on the Rules tab (bottom-left of the table/chart).
  • Select the rule that you wish to modify.
  • Click Edit Rule and make the desired changes. Alternatively, you can use the JavaScript below to make your own rule (see Customizing Rules).


includeWeb('JavaScript Array Functions');
includeWeb('Table JavaScript Utility Functions');
// Set up controls for user input.
form.setHeading('The Average of Each Row');
form.setSummary('The Average of Each Row');
// Get the list of statistics on the table.
var label_statistic = form.newLabel('Statistic to use:');
var valid_statistics = table.statistics.filter(function (statistic) { return statistic != 'Column Comparisons' && statistic != 'Column Names' && statistic != 'Columns Compared'; });
if (valid_statistics.length == 0)
    form.ruleNotApplicable('there are no numeric statistics in this table.');
if (table.numberColumns == 1)
    form.ruleNotApplicable('the columns of this table represent statistics and cannot be averaged');
if (table.availableStatistics.indexOf('Not Duplicate') == -1)
    form.ruleNotApplicable('the data in this table is not appropriate');
var combo_box = form.newComboBox('statistic', valid_statistics);
form.setInputControls([label_statistic, combo_box]);
var statistic = combo_box.getValue();
// What is the last column in this span?
var last_col = table.numberColumns - 1;
// Add a new Average column.
table.insertColumnAfter(last_col, 'Row Average');

// Get the values for statistic
var values = table.get(statistic);
// Get the not duplicate markers for each cell.  This
// indicates whether the cell has been copied from
// another cell, such as when NETs are created.
var not_duplicates = table.get('Not Duplicate');
var pick_one_multi_vars_across_rows = table.blueQuestion.questionType == "Pick One - Multi" && !table.blueQuestion.dataReduction.transposed;
var not_duplicate_cols = getNotDuplicateCols();

// Remember the index of the new Average column.
var average_col = last_col + 1;
// For each row, sum its statistics.
    // For each row...
    for (var row = 0; row < table.numberRows; row++) {
        // For the specified statistic in the table...
               var sum = 0;
               var unique_cols = 0;
               for (var col = 0; col < last_col+1; col++) {
                        // If this cell is not a duplicate...
                        if (!isNaN(not_duplicates[row][col]) && (not_duplicate_cols[col] == 1 || pick_one_multi_vars_across_rows) && !isNaN(values[row][col])) {
                            // Add its average value to this rows' sum.
                            sum +=  values[row][col];
                            // And increase the count of non-duplicate columns.
                       // Compute the average.
                        var average = NaN;
                        if (unique_cols > 0) 
                            average = sum / unique_cols;

            // Store the average in the new Average column we added above.
            values[row][average_col] = average;
            // Store the values of the Average column into the table.
            table.set(statistic, values);

function getNotDuplicateCols() {
    var not_duplicate = table.get('Not Duplicate');
    var results = [];
    for (var i = 0; i < table.numberColumns; i++)
        for (var j = 0; j < table.numberRows; j++) {
            if (not_duplicate[j][i] == 1) {
            if (j == table.numberRows - 1)
                results.push(0); // only run if all cells in the columns are duplicate
    return results;

See also