This is an adjusted version of the edat 2 txt parser created by Ahebrank (original readme text below).

The main changes are the addition of an emerger() function to read/parse/merge multiple .txt. files at once, and a replaced text file read and parse routine in edat() renamed edatR() ) so that .txt files containing symbols and trials nested several levels deep can be parsed too.

#Ahebranks' original edat() readme: This is a package for reading in E-Prime data files (well, the txt recovery files generated by E-Prime scripts during an experiment). It's for those needing to analyze large batches of edats, don't have access to PST's data utility E-DataAid, or don't have Windows. As far as I know, PST does not make the format of the binary .edat/.edat2 files publicly available, so this is all just guesswork.

Inspiration for this utility and credit for early versions of the code go to canlab's MATLAB implementation, developed in 2010 by Joe Wielgosz.

Use at your own risk! I have a limited number of test cases, most of which were produced by the same E-Prime programmer (me!). Please use the issue tracker to report bugs or submit test cases.

The easiest way is to use devtools' install_github function.

> install.packages('devtools')
> devtools::install_github('AWKruijt/eMergeR')

library('emerger')

#parse and merge all .txt files in current working directory:
df <- emerger()
df <- as.data.frame(df)

#parse and merge merge all .txt files in the folder 'deeptest' that sits within the current wd:
df <- eMergeR(dir = "deeptest") 
df <- as.data.frame(df)

#parse and merge merge all .txt files for which filename includes "sumbol" that sit in the folder 'deeptest' within the current wd:
df <- eMergeR(filenameContains = "symbol", dir = "deeptest")
df <- as.data.frame(df)


# parse single file:
e <- edatR('Flanker-1001-1.txt')
dat <- as.data.frame(e)

dim(dat)
head(dat)