# total_scores: Calculate the total scores from sets of scores In psyntur: Helper Tools for Teaching Statistical Data Analysis

## Description

Calculate the total scores from sets of scores

## Usage

 `1` ```total_scores(.data, ..., .method = "mean", .append = FALSE) ```

## Arguments

 `.data` A data frame with columns to summed or averaged over. `...` A comma separated set of named tidy selectors, each of which selects a set of columns to which to apply the totalling function. `.method` The method used to calculate the total. Must be one of "mean", "sum", or "sum_like". The "mean" is the arithmetic mean, skipping missing values. The "sum" is the sum, skipping missing values. The "sum_like" is the arithmetic mean, again skipping missing values, multiplied by the number of elements, including missing values. `.append` logical If FALSE, just the totals be returned. If TRUE, the totals are appended as new columns to original data frame.

## Value

A new data frame with columns representing the total scores.

## Examples

 ```1 2 3 4 5 6``` ```# Calculate the mean of all items beginning with `x_` and separately all items beginning with `y_` total_scores(test_psychometrics, x = starts_with('x'), y = starts_with('y')) # Calculate the sum of all items beginning with `z_` and separately all items beginning with `x_` total_scores(test_psychometrics, .method = 'sum', z = starts_with('z'), x = starts_with('x_')) # Calculate the mean of all items from `x_1` to `y_10` total_scores(test_psychometrics, xy = x_1:y_10) ```

psyntur documentation built on Sept. 15, 2021, 5:07 p.m.