ch.rmLearningBySN: A function remove the learning effect on RT by Subject

In ccpluncw/ccpl_R_chMorals:

A function remove the learning effect on RT by Subject

Description

This function remove the learning effect on RT by Subject.

Usage

ch.rmLearningBySN(
  data,
  snCol,
  trialCol,
  RTcol,
  fitCol,
  resCol,
  outputFile = NULL
)

Arguments

data	A dataframe containing the choice data (often after running through ch.moralsDataPrep()).
snCol	A string that specifies the name of the column in "data" that contains the subject number.
trialCol	A string that specifies the name of the column in "data" that contains the trial number.
RTcol	A string that specifies the name of the column in "data" that contains the RT for each trial.
fitCol	A string that specifies the name of the new column that will contain the predicted datapoints.
resCol	A string that specifies the name of the new column that will contain the residual datapoints.
outputFileTag	A string to put on the front of a filename that you want a graph of the learning fit written to. DEFAULT = NULL (no file written)

Value

A dataframe with the learning function fit and residuals included

Examples

ch.rmLearningBySN (data=moralsData,"sn", "trial", "RT", "res.RT", "fit.RT", "fitOut.pdf")

ccpluncw/ccpl_R_chMorals documentation built on Feb. 4, 2024, 3:30 p.m.