pt_summary: Descriptive statistics

In PBCAR/PThelper: Systematic Cleaning, Processing, and Summarizing of Behavioral Economic Purchase Task Data

Descriptive statistics

Description

This function provides basic summary descriptives of the purchase task indicators of the entire sample or by a grouping variable. See details for full list of summary statistics provided.

Usage

pt_summary(pt, pt_vars, group_var = NULL)

Arguments

pt	A data frame consisting of the purchase variables 'pt_vars' to summarize.
pt_vars	The purchase task variables to summarize.
group_var	An optional grouping variable to summarize the purchase task variables by.

Details

This function will return the following descriptives: The number of individuals with a non-missing value ('Ntot'), as well as the number of individuals with a missing value ('Nmiss'); The mean average ('Mean') and mean standard error ('SE'); as well as the minimum ('Min') and maximum ('Max') values of the variable(s).

Value

An object of type data frame

Examples

### --- Example Data
pt <- data.frame("ID" = c(1:36),
"Intensity" = c(10,12,15,0,99,11,7,6,12,7,8,10,5,6,10,0,3,
                7,5,0,2,3,5,6,10,15,12,7,0,9,0,6,7,8,4,5),
"Breakpoint" = c(1,2,5,0,10,3,0.5,0.2,0.3,3,4,5,7.5,0.5,2,0,0.1,
                 0.5,0.5,0,3,2,2,1,2,3,4,1,0,2,0,5,5,7.5,2,3))

### --- Function Example
pt_summary(pt, pt_vars = c("Intensity","Breakpoint"))

PBCAR/PThelper documentation built on May 13, 2024, 3:45 p.m.