Dear R helpers, 
 
Following is a R script I am using to run the Fast Fourier Transform. The csv files has 10 columns with titles m1, m2, m3 .....m10.   
 
When I use the following commands, I am getting the required results. The probelm is if there are 100 columns, it is not wise to define 100 commands as fk <- ONS$mk and so on. Thus, I need some guidance to write the loop for the STEP A and STEP B.
 
Thanking in advance
 
Regards
 
Maithili
 
 
 
My R Script
 
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ONS <- read.csv("fast fourier transform.csv", header = TRUE)
 
  # STEP A
 
  f1 <- ONS$m1
 
  f2 <- ONS$m2
 
  f3 <- ONS$m3
 
  f4 <- ONS$m4
 
  f5 <- ONS$m5
   
  f6 <- ONS$m6
 
  f7 <- ONS$m7
 
  f8 <- ONS$m8
  
  f9 <- ONS$m9
   
  f10 <- ONS$m10
 
#____________________________________________________________________________________________
 

  # STEP B
 
  g1 <- fft(f1)
 
  g2 <- fft(f2)
 
  g3 <- fft(f3)
  
  g4 <- fft(f4)
  
  g5 <- fft(f5)
  
  g6 <- fft(f6)
  
  g7 <- fft(f7)
  
  g8 <- fft(f8)
  
  g9 <- fft(f9)
  
  g10 <- fft(f10)
  
 
#____________________________________________________________________________________________
 
  h <- g1*g2*g3*g4*g5*g6*g7*g8*g9*g10
  
  j <- fft((h), inverse = TRUE)/length(h)
  
 
#____________________________________________________________________________________________
 
 


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