sample_descriptives: Sample and study characteristics

In marton-balazs-kovacs/tppr: Shiny app to show real-time results of the TPP project

Description

This function calculates all sample and study characteristics mentioned in the results section of the manuscript from the raw data (see read_data). The function calculates the descriptive results at the latest passed checkpoint if not determined otherwise with the 'which_checkpoint' param.

Usage

sample_descriptives(raw_data, which_checkpoint = NA_integer_)

Arguments

raw_data	dataframe, all trials included in the study
which_checkpoint	integer, index of the checkpoint to use

Value

The function returns a list of descriptive results regarding the sample until the latest or prespecified checkpoint.

Note

This function can be used only in which the number of erotic trials reach the first checkpoint at least. Otherwise please use the sample_descriptives_current function to see a simple study characteristics summary.

Examples

sample_descriptives(raw_data = example_m0, which_checkpoint = NA_integer_)

marton-balazs-kovacs/tppr documentation built on Oct. 27, 2021, 3:04 p.m.