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

Description

prep_data converts the data frame to a data table and examines the class of the following columns: Subject, Item, LEFT_INTEREST_AREA_ID, RIGHT_INTEREST_AREA_ID, LEFT_INTEREST_AREA_LABEL, RIGHT_INTEREST_AREA_LABEL, TIMESTAMP, and TRIAL_INDEX. If they were not encoded with the correct class upon importing the data, the function will reassign the class and print a summary of the reassignments. Additionally, the data table output by the function contains a new column called Event which indexes each unique series of samples corresponding to the combination of Subject and TRIRAL_Index, necessary for performing subsequent operations.

Usage

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

Arguments

Value

An object of type data table as described in tbl_df.

Examples

## Not run: 
# Typical DataViewer output contains a column called "RECORDING_SESSION_LABEL"
# corresponding to the subject.
# To prepare the data...
library(VWPre)
df <- prep_data(data = dat, Subject = "RECORDING_SESSION_LABEL", Item = "itemID")

## End(Not run)

Results