ppl_prep_data: Check the classes of specific columns and re-assigns as...

In PupilPre: Preprocessing Pupil Size Data

Description

ppl_prep_data checks for necessary columns and converts the class if needed.

Usage

ppl_prep_data(data, Subject = NULL, Item = NA,
  EventColumns = c("Subject", "TRIAL_INDEX"))

Arguments

data	A data frame object created from an Eyelink Sample Report.
Subject	An obligatory string containing the column name corresponding to the subject identifier.
Item	An optional string containing the column name corresponding to the item identifier; by default, NA.
EventColumns	A vector specifying the columns which will be used for creating the Event variable; by default, Subject and TRIAL_INDEX.

Value

An object of type data table as described in tibble.

Examples

# Load example data
data("Pupilex1")

dat <- ppl_prep_data(Pupilex1, Subject = "RECORDING_SESSION_LABEL",
                     Item = "item",
                     EventColumns = c("Subject","TRIAL_INDEX"))

# Please see the vignettes for detailed example usage.
# vignette("PupilPre_Basic_Preprocessing", package="PupilPre")

PupilPre documentation built on March 14, 2020, 1:08 a.m.