Hi, 

I'm trying to execute the same R code on multiple data frames listed in a single directory. The code works fine if I use the code 
(below) for each file. However, I have several files and it becomes 
tedious to run each one, name it and then aggregate into a single 
dataframe. 

Name 
0.0           1 
21.15       2 
2400.26   1 
3222.14   2 


name = read.table(file.choose(),header=F) # opening a data file 
colnames(name)<-c("Time", "Behavior") 
name = data.frame(name$Behavior, name$Time) 
colnames(name)<-c("Behavior", "Time") 
name<-name[name$Time < 3600, ]; 


x<-seq(0,3600, by = 60) # total time partition by time which is 60 

if (tail(name$Behavior, 1) == 1) {name<-rbind(name, c(4, 3600))} else 
{name<-rbind(name, c(1, 3600))} 

if (((length(name$Behavior))) %% 2 != 0) 
 {name <-name[-c(length(name$Behavior)), -c(length(name$Behavior))]} 

q<-c() 
for (y in (1: (length(name$Behavior)))) 
{ 
        if (y %% 2 == 0) {next} else 
        {q<-c(q, (c(name$Time[y]:name$Time[y +1])))} 
} 

b<-table(cut(q,x)) 

sum(b) 


So, I tried to nest a for loop within another(code 
below). It solved the problem of selecting each data file. However, a 
problem was incurred with the second loop. It gave back a crazy matrix.

setwd("/Users/deliashelton/Documents/Shelton
 back-up 11:21/labs/ABL meetings/DS7 Flow/DS7.5/Observers/AA 7.5/AA 
PND2/AA PND 2 22C") 

a<- list.files() 
xx<- c() 
t<-seq(0,3600, by = 60) 

for (i in a){ 
        name<- read.table(i,header=F) 
        colnames(name)=c("Time", "Behavior") 
        name<- data.frame(name$Behavior, name$Time) 
        colnames(name)<-c("Behavior", "Time") 
        name<-name[name$Time < 3600, ] 
        
        if (tail(name$Behavior, 1) == 1) {name<-rbind(name, c(4, 3600))} else 
{name<-rbind(name, c(1, 3600))} 

if (((length(name$Behavior))) %% 2 != 0) 
 {name <-name[-c(length(name$Behavior)), -c(length(name$Behavior))]} 

  
#xx <- rbind(xx, name) 

 # total time partition by time which is 60 


        q<-c() 
        for (y in (1: (length(name$Behavior)))) 
        { 
                if (y %% 2 == 0) {next} else 
                {q<-c(q, (c(name$Time[y]:name$Time[y +1])))} 
        
        
                        } 
        
        b<-table(cut(q,x)) 
        xx <- rbind(xx, sum(b)) 
        
        print(xx) 
} 

Crazy matrix: 
  
 [,1] 
[1,] 4947 
     [,1] 
[1,] 4947 
[2,] 7318 
     [,1] 
[1,] 4947 
[2,] 7318 
[3,] 8598 
     [,1] 
[1,] 4947 
[2,] 7318 
[3,] 8598 
[4,] 9617 
      [,1] 
[1,]  4947 
[2,]  7318 
[3,]  8598 
[4,]  9617 
[5,] 11755 
      [,1] 
[1,]  4947 
[2,]  7318 
[3,]  8598 
[4,]  9617 
[5,] 11755 
[6,] 13762 
      [,1] 
[1,]  4947 
[2,]  7318 
[3,]  8598 
[4,]  9617 
[5,] 11755 
[6,] 13762 
[7,] 17363 
      [,1] 
[1,]  4947 
[2,]  7318 
[3,]  8598 
[4,]  9617 
[5,] 11755 
[6,] 13762 
[7,] 17363 
[8,] 19857 
       [,1] 
 [1,]  4947 
 [2,]  7318 
 [3,]  8598 
 [4,]  9617 
 [5,] 11755 
 [6,] 13762 
 [7,] 17363 
 [8,] 19857 
 [9,] 23372 
       [,1] 
 [1,]  4947 
 [2,]  7318 
 [3,]  8598 
 [4,]  9617 
 [5,] 11755 
 [6,] 13762 
 [7,] 17363 
 [8,] 19857 
 [9,] 23372 
[10,] 25509 
       [,1] 
 [1,]  4947 
 [2,]  7318 
 [3,]  8598 
 [4,]  9617 
 [5,] 11755 
 [6,] 13762 
 [7,] 17363 
 [8,] 19857 
 [9,] 23372 
[10,] 25509 
[11,] 28071 
       [,1] 
 [1,]  4947 
 [2,]  7318 
 [3,]  8598 
 [4,]  9617 
 [5,] 11755 
 [6,] 13762 
 [7,] 17363 
 [8,] 19857 
 [9,] 23372 
[10,] 25509 
[11,] 28071 
[12,] 31672 
       [,1] 
 [1,]  4947 
 [2,]  7318 
 [3,]  8598 
 [4,]  9617 
 [5,] 11755 
 [6,] 13762 
 [7,] 17363 
 [8,] 19857 
 [9,] 23372 
[10,] 25509 
[11,] 28071 
[12,] 31672 
[13,] 35268 
       [,1] 
 [1,]  4947 
 [2,]  7318 
 [3,]  8598 
 [4,]  9617 
 [5,] 11755 
 [6,] 13762 
 [7,] 17363 
 [8,] 19857 
 [9,] 23372 
[10,] 25509 
[11,] 28071 
[12,] 31672 
[13,] 35268 
[14,] 38440 
       [,1] 
 [1,]  4947 
 [2,]  7318 
 [3,]  8598 
 [4,]  9617 
 [5,] 11755 
 [6,] 13762 
 [7,] 17363 
 [8,] 19857 
 [9,] 23372 
[10,] 25509 
[11,] 28071 
[12,] 31672 
[13,] 35268 
[14,] 38440 
[15,] 41796 
       [,1] 
 [1,]  4947 
 [2,]  7318 
 [3,]  8598 
 [4,]  9617 
 [5,] 11755 
 [6,] 13762 
 [7,] 17363 
 [8,] 19857 
 [9,] 23372 
[10,] 25509 
[11,] 28071 
[12,] 31672 
[13,] 35268 
[14,] 38440 
[15,] 41796 
[16,] 43142 


What I would like is for a recursive function/loop that 
follows the initial codes computation, but does it for all data files in the directory and binds the outputs into a single vector. If you have 
any tips on getting the code to work or can help identify the problem, 
your assistance would be appreciated.
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