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.
erp.easy 1.0.0
January 29th, 2016
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)