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$mk and so on. Thus, I need some guidance to write the loop for the
STEP A and STEP B.
Thanking in advance
Regards
Maithili
My R Script
-----------------------------------------------------------------------------------------------
ONS <- read.csv("fast fourier transform.csv", header = TRUE)
# STEP A
f1 <- ONS$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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