library(plyr)
library(dplyr)
library(MPDiR)
library(quickpsy)
library(fitdistrplus)
library(ggplot2)

# Global values for our conditions
speed_duration_ms <- c('0-static','1-slow','2-fast')
correct_answer <- c(18,32,43,0,58,72,83)


# set directory where script is
sourceDir <- dirname (rstudioapi::getActiveDocumentContext()$path) 
defaultpath <- sourceDir

#remove(list = ls())
print(defaultpath)
setwd(defaultpath)

# get all log files
setwd("exp-data/")
file_list <- list.files(pattern=".csv")
show(file_list)

if (exists ("allData")) { rm(allData) }

# basic loop that reads over participant files
# and computes normalized errors
for (file in file_list){

  print(file)
  
  dataFile <- read.csv(file)
  
  # collect all trials in order to calculate error rate, keep non training trials (trial > 0)
  tmp <- dataFile
  # tmp <- tmp [ which (tmp$study_id != 'Pilot'),] # not Pilot study_id ADD BACK FOR EXPERIMENT
  tmp <- tmp [ which (tmp$correct_answer != 0),] #no trial 0
  
  tmp$abs_error <- abs(tmp$given_answer-tmp$correct_answer) #absolute error
  tmp$true_error <- (tmp$given_answer-tmp$correct_answer) #true error

  if ( !exists("allData") ){
    allData <- tmp
  } else {
    allData <- rbind(allData,tmp)
  }
}

print(defaultpath)
setwd(defaultpath)
write.csv(allData, file="results/all_data.csv")