Why did you use different variable names rather than index of list/data.frame?
On Wed, May 27, 2009 at 6:34 PM, Maithili Shiva
<maithili_sh...@yahoo.com> wrote:
> 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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