SlimStampeRData: SlimStampeRData: Analyzing SlimStampen App Data

In VanRijnLab/SlimStampeRData: Analyze SlimStampen App Data

SlimStampeRData: Analyzing SlimStampen App Data

Description

The SlimStampeRData package provides four categories of functions: basic data, individual information, average information and calculation functions.

Basic data

This package includes a function to read a csv file into a data table, namely read_dataset(). This function also provides warnings if the data set does not confirm to the assumptions that the functions of this package make about the data. If no csv file is provided, an example data set is used instead. The function dataset_stats() shows global information about the data set. This includes information such as: the number of participants, number of unique facts, number of lessons, participants per lesson, and more.

Individual information

There are two functions for show the data of individual participants: individual_RT() and individual_ROF(). These function make a plot for every participant (based on sessionId) that shows either the RT or ROF of all facts that the participant has seen during that session. All incorrect answers are denoted with a red marker and all correct answers are denoted with a grey marker.

Average information

There are several function that shows averaged information about participants or facts. The funcitons that show the average of a variable for all participants are: average_accuracy_participants(), average_RT_participants() and average_ROF_participants. These functions show a plot in which every line in the plot represents a participant. The function that shows an average of all facts is: average_ROF_facts(), which shows the average alpha for all facts. In the plot that this function generates all the lines represent a fact.

Calculation functions

Some of the functions described above need specific information to function. Functions that plot information over the amount of fact repetitions need the data to provide a column that shows the repetition for every trial. Functions that plot the alpha need the data to provide a column with the alpha for every trial. The data set that is being used may already contain these columns, but if it doesn't then there are two functions that can provide this. These functions are calculate_repetition() and calculate_alpha_and_activation(). Both these function take a data set as argument and then return the same data set with the relevant column.

VanRijnLab/SlimStampeRData documentation built on July 26, 2022, 7:31 p.m.