R/trial_time.R

In martin-vasilev/paraFix_old:

trial_time<- function(list_asc= "data/raw/files.txt",
                      maxtrial=24){
  # required function:
  trial_info<- function(file, maxtrial, data){ # extracts information for processing trials
    ### get trial names:
    ID<- which(grepl('TRIALID', file));
    trial_text<- file[ID]
    trials<- substr(trial_text, unlist(gregexpr(pattern =' ',trial_text[1]))[2]+1, nchar(trial_text))
    #trials<- trials[which(letter!="P" &  letter!="F")] # remove practice items and questions
    trials<- gsub(" ", "", trials)
    # sometimes there is an extra empty space that can mess up detection of duplicates
    
    ### get condition:
    I<- unlist(gregexpr(pattern ='I',trials)) # start of item info
    cond<- as.numeric(substr(trials, 2, I-1)) # extract condition number
    
    ### get item:
    D<- unlist(gregexpr(pattern ='D',trials)) # start of dependent info
    item<- as.numeric(substr(trials, I+1, D-1)) # extract condition number
    depend<- as.numeric(substr(trials, nchar(trials), nchar(trials)))
    
    ### get sequence:
    #seq<- 1:length(trials)
    
    ### get start & end times
    start<- which(grepl('DISPLAY ON', file))
    end <- which(grepl('DISPLAY OFF', file))
    
    duplicated<- trials[duplicated(trials)]
    
    if(length(duplicated)>0){ # if there were aborted trials..
      message(paste(" Diplicated trial", duplicated, "for file:", data, "\n"))
      message("Analysing only last attempt at the trial!")
      
      toBeRemoved<- NULL
      
      for(i in 1:length(duplicated)){
        dup_rem<- which(trials==duplicated[i])
        
        for(j in 1:length(dup_rem)){
          if(j!=length(dup_rem)){
            toBeRemoved[length(toBeRemoved)+1]= dup_rem[j]
          }
        } # end of j
      } # end of i
      
      #start<- start[-toBeRemoved]
      # end<- end[-toBeRemoved]
      cond<- cond[-toBeRemoved]
      item<- item[-toBeRemoved]
      # seq<- seq[-toBeRemoved]
      depend<- depend[-toBeRemoved]
      ID<- ID[-toBeRemoved]
    } # end of aborted conditional
    
    trial_db<- data.frame(cond, item, depend, start, end, ID)
    trial_db<- subset(trial_db, depend==0 & item< maxtrial+1)
    trial_db$seq<- 1:nrow(trial_db)
    
    ###
    
    
    # trials<- trials[which(!is.element(trials, duplicated))]
    
    return(trial_db)
  }
  
  asc<- readLines(list_asc, warn= F)
  
  time<- NULL
  
  for(i in 1:length(asc)){
    cat("\n") ;cat("Processing data for subject... "); cat(paste(i, " ", sep="")); cat("\n")
    cat(sprintf("Loading data file: %s", asc[i]))
    dataF<- readLines(asc[i]) # load asc file;
    cat(". Done")
    trial_db<- trial_info(dataF, maxtrial, asc[i]) # get info about trials
    
    temp_time<- trial_db[,-c(3,6)]
    temp_time$sub<- i
   # temp_time<- temp_time[,c(1,2,5,3,4,6)]
    temp_time$dur<- temp_time$end- temp_time$start
    
    time<- rbind(time, temp_time)
    
  }
  
  return(time)
}