Prepare a psych350data dataset for analysis

Description

Converts character categorical variables to numeric codes matching the SPSS value labels in psych350data. Optionally retains the original character columns as _label suffixed columns for use in plotting.

Usage

prep_data(data, dataset_name, keep_labels = FALSE)

prep_superman(data, keep_labels = FALSE)

prep_superman_smes(data, keep_labels = FALSE)

prep_superman_movies(data, keep_labels = FALSE)

prep_hotones(data, keep_labels = FALSE)

prep_hotones_sauces(data, keep_labels = FALSE)

prep_hotones_episodes(data, keep_labels = FALSE)

prep_mcu(data, keep_labels = FALSE)

prep_mock_jury(data, keep_labels = FALSE)

prep_tip_jokes(data, keep_labels = FALSE)

prep_candy(data, keep_labels = FALSE)

prep_candy_simple(data, keep_labels = FALSE)

prep_football(data, keep_labels = FALSE)

prep_huskers(data, keep_labels = FALSE)

prep_interpersonal(data, keep_labels = FALSE)

prep_self_descriptive(data, keep_labels = FALSE)

prep_parent_child(data, keep_labels = FALSE)

prep_hindsight_bg(data, keep_labels = FALSE)

prep_hindsight_wg(data, keep_labels = FALSE)

prep_cheese(data, keep_labels = FALSE)

prep_lpd(data, keep_labels = FALSE)

Arguments

data	A dataset from psych350data.
dataset_name	Character. Name of the dataset, e.g. “superman”, “hotones”, “mock_jury”.
keep_labels	Logical. If TRUE, retains original character columns as _label suffixed columns for plotting. Default FALSE.

Value

A tibble with categorical variables as numeric codes, and optionally _label columns for plotting.