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

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

# 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.