New Functions

easy.load:

• A more user-friendly way to import your data. Just answer a few questions and the function generates a ready to copy/paste line of code.

Updates and Fixes to Previously Existing Functions

load.data:

• Option to perform baseline correction on data as it is loaded
• Labels data using specified subject values instead of generic numbers

grandaverage:

• Option to suppress the legend (for cases where it covers part of the waveform)
• Indicates the electrodes used to create the plot

p.measures:

• Option to search for the most negative, positive or absolute peak value. Previously only absolute value was allowed (i.e., greatest deviation from 0 regardless of polarity). Option to use simple or local peak measures.
• Existing scripts using p.measures will have to be updated by adding the “pol” argument with an acceptable parameter

individual:

• Returns the individual average data for each subject in each condition
• Option to create separate plots for each individual by setting plots=“y”. By default, no plots are returned (i.e., only raw data values are returned)

erp.filter

• This function has been removed.

New Functions

erp.filter:

• Uses the “signal” package to allow Butterworth
  filterting of erp.easy data objects

Updates and Fixes to Previously Existing Functions

all plotting functions:

• There is now a solid background for all plot legends

dif.wave:

• Can now specify Stimulus name for difference wave
• More descriptive default for Stimulus name for difference wave, if none is specified
• Can now specify which data frame to keep with the difference wave (if any)

grandaverage:

• Raw amplitude data for the grand average is returned for each condition

load.data:

• Change in acceptable file name format means files no longer need to be numbered. Now all text preceding an “” will be ignored, and all text following an ”” will be read as the specified condition. This allows removing or adding subject files without having to renumber existing files.

m.measures:

• Mean erp measures are automatically returned with a plot of the grand average and time window

p.measures:

• Peak erp measures are automatically returned with:
  • a plot of the grand average
  • the time window
  • a vertical line indicating the peak latency
• Fixed a bug that produced inaccurate local peak measures for individual data (grand average peak data were accurate)

Initial Release