# Re: [R] For Loop - loading 10 sets of data and calculating

From: jim holtman <jholtman_at_gmail.com>
Date: Fri, 07 Nov 2008 15:21:08 -0500

# I would put this in a list in the following manner

Bin <- lapply(1:10, function(.file){

#-------

#Loads bin data frame from csv files with acres and TAZ data     fileName <-
paste("I:/Research/Samba/urb_transport_modeling/LUSDR/Workspace/BizLandPrice/data/Bin_lookup_values/Bin", .file, "_lookup.csv", sep="")

#Separates Acres data from main data and converts acres to square feet     Bin_Acres=Bin_main[]*43560

#Separates TAZ data from main data
Bin_TAZ=Bin_main[]

#Separates TAZ data from main data and converts acres to square feet     Bin_TAZvacant=Bin_main[]*43560

#Sums each parcel acreage data of the bin     BinAcres_sum=sum(Bin_Acres)

#Creates data frame of cumlative percentages of each parcel of bin     Bin_cumper=cumsum(Bin_Acres/BinAcres_sum)

#Calculates the probability of choosing particular parcel from bin     Bin_parprob=abs(1-Bin_cumper)

#Combines parcel acreage data and cumlative percentage data     cbind(Bin_Acres,Bin_parprob,Bin_TAZ,Bin_TAZvacant) })

On Fri, Nov 7, 2008 at 1:48 PM, PDXRugger <J_R_36_at_hotmail.com> wrote:
>
> I am trying to simplify my code by adding a for loop that will load and
> compute a sequence of code 10 time. They way i run it now is that the same
> 8 lines of code are basically reproduced 10 times. I would like to replace
> the numeric value in the code (e.g. Bin1, Bin2....Bin10) each time the loop
> goes around. Below i tried doing this with a simple for loop and adding the
> string character before each numeric value. I need to first load the data
> then calculate, im sure this is possible as i have seen it done but cant
> seem to reproduce it in my own code. Hope my question is clear and i hope
> someone can offer some guidance.
>
> Cheers,
> JR
>
> for (i in 1:10) {
>
> #-------
>
> #Loads bin data frame from csv files with acres and TAZ data
> Bin\$i_main <-
>
> #Separates Acres data from main data and converts acres to square feet
> Bin\$i_Acres=Bin\$i_main[]*43560
>
> #Separates TAZ data from main data
> Bin\$i_TAZ=Bin\$i_main[]
>
> #Separates TAZ data from main data and converts acres to square feet
> Bin\$i_TAZvacant=Bin\$i_main[]*43560
>
> #Sums each parcel acreage data of the bin
> Bin\$iAcres_sum=sum(Bin\$i_Acres)
>
> #Creates data frame of cumlative percentages of each parcel of bin
> Bin\$i_cumper=cumsum(Bin\$i_Acres/Bin\$iAcres_sum)
>
> #Calculates the probability of choosing particular parcel from bin
> Bin\$i_parprob=abs(1-Bin\$i_cumper)
>
> #Combines parcel acreage data and cumlative percentage data
> Bin\$iMain.data = cbind(Bin%i_Acres,Bin\$i_parprob,Bin\$i_TAZ,Bin\$i_TAZvacant)
> }
>
> --
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> R-help_at_r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> and provide commented, minimal, self-contained, reproducible code.
>

```--
Jim Holtman
Cincinnati, OH
+1 513 646 9390

What is the problem that you are trying to solve?

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