[R] loading and manipulating 10 data frames-simplified

Sun Mar 29 04:39:53 CEST 2009

And check out plyr (http://had.co.nz/plyr/) for manipulating those 10 elements.

On Fri, Mar 27, 2009 at 9:20 AM, jim holtman <jholtman at gmail.com> wrote:
> Look at using a 'list' as obtained from 'lapply'
>
> fileNames <- 'your files to be read'
> Bin_main <- lapply(fileNames, function(.file){
>    input <- read.csv(fileNames, ....)
>    # all your calculations; e.g.,
>    acre <- ...
>    ....
>    cbind(acres, parprob, ...)
> })
>
> Now look at the structure ('str(Bin_main)') and it should have 10 (or
> how ever many files you have) elements with the data you want.
>
> On Thu, Mar 26, 2009 at 5:25 PM, PDXRugger <J_R_36 at hotmail.com> wrote:
>>
>> I have to load 10 different data frames and then manipulate those 10 data
>> frames but would like to do this in a more simplified code than what i am
>> doing.  I have tried a couple of approaches but cannot get it to work
>> correctly.
>>
>> So the initial (bulky) code is:
>>
>> #Bin 1
>> #-------
>>
>> #Loads bin data frame from csv files with acres and TAZ data
>> Bin1_main <-
>> read.csv(file="I:/Research/Samba/urb_transport_modeling/LUSDR/Workspace/BizLandPrice/data/Bin_lookup_values/Bin1_lookup.csv",head=FALSE);
>>
>> #Separates Acres data from main data and converts acres to square feet
>> Bin1_Acres=Bin1_main[[1]]*43560
>>
>> #Separates TAZ data from main data
>> Bin1_TAZ=Bin1_main[[2]]
>>
>> #Separates TAZ data from main data and converts acres to square feet
>> Bin1_TAZvacant=Bin1_main[[3]]*43560
>>
>> #Sums each parcel acreage data of the bin
>> Bin1Acres_sum=sum(Bin1_Acres)
>>
>> #Creates data frame of cumlative percentages of each parcel of bin
>> Bin1_cumper=cumsum(Bin1_Acres/Bin1Acres_sum)
>>
>> #Calculates the probability of choosing particular parcel from bin
>> Bin1_parprob=abs(1-Bin1_cumper)
>>
>> #Combines parcel acreage data and cumlative percentage data
>> Bin1Main.data = cbind(Bin1_Acres,Bin1_parprob,Bin1_TAZ,Bin1_TAZvacant)
>>
>>
>> #Bin 2
>> #-------
>>
>> #Loads bin data frame from csv files with acres and TAZ data
>> Bin2_main <-
>> read.csv(file="I:/Research/Samba/urb_transport_modeling/LUSDR/Workspace/BizLandPrice/data/Bin_lookup_values/Bin2_lookup.csv",header=FALSE);
>>
>> #Separates Acres data from main data and converts acres to square feet
>> Bin2_Acres=Bin2_main[[1]]*43560
>>
>> #Separates TAZ data from main data
>> Bin2_TAZ=Bin2_main[[2]]
>>
>> #Separates TAZ data from main data and converts acres to square feet
>> Bin2_TAZvacant=Bin2_main[[3]]*43560
>>
>> #Sums each parcel acreage data of the bin
>> Bin2Acres_sum=sum(Bin2_Acres)
>>
>> #Creates data frame of cumlative percentages of each parcel of bin
>> Bin2_cumper=cumsum(Bin2_Acres/Bin2Acres_sum)
>>
>> #Calculates the probability of choosing particular parcel from bin
>> Bin2_parprob=abs(1-Bin2_cumper)
>>
>> #Combines parcel acreage data and cumlative percentage data
>> Bin2Main.data = cbind(Bin2_Acres,Bin2_parprob,Bin2_TAZ,Bin2_TAZvacant)
>>
>> #Bin 3
>> #-------
>>
>> #Loads bin data frame from csv files with acres and TAZ data
>> Bin3_main <-
>> read.csv(file="I:/Research/Samba/urb_transport_modeling/LUSDR/Workspace/BizLandPrice/data/Bin_lookup_values/Bin3_lookup.csv",header=FALSE);
>>
>> #Separates Acres data from main data and converts acres to square feet
>> Bin3_Acres=Bin3_main[[1]]*43560
>>
>> #Separates TAZ data from main data
>> Bin3_TAZ=Bin3_main[[2]]
>>
>> #Separates TAZ data from main data and converts acres to square feet
>> Bin3_TAZvacant=Bin3_main[[3]]*43560
>>
>> #Sums each parcel acreage data of the bin
>> Bin3Acres_sum=sum(Bin3_Acres)
>>
>> #Creates data frame of cumlative percentages of each parcel of bin
>> Bin3_cumper=cumsum(Bin3_Acres/Bin3Acres_sum)
>>
>> #Calculates the probability of choosing particular parcel from bin
>> Bin3_parprob=abs(1-Bin3_cumper)
>>
>> #Combines parcel acreage data and cumlative percentage data
>> Bin3Main.data = cbind(Bin3_Acres,Bin3_parprob,Bin3_TAZ,Bin3_TAZvacant)
>>
>> #Bin 4
>> #-------
>>
>> #Loads bin data frame from csv files with acres and TAZ data
>> Bin4_main <-
>> read.csv(file="I:/Research/Samba/urb_transport_modeling/LUSDR/Workspace/BizLandPrice/data/Bin_lookup_values/Bin4_lookup.csv",header=FALSE);
>>
>> #Separates Acres data from main data and converts acres to square feet
>> Bin4_Acres=Bin4_main[[1]]*43560
>>
>> #Separates TAZ data from main data
>> Bin4_TAZ=Bin4_main[[2]]
>>
>> #Separates TAZ data from main data and converts acres to square feet
>> Bin4_TAZvacant=Bin4_main[[3]]*43560
>>
>> #Sums each parcel acreage data of the bin
>> Bin4Acres_sum=sum(Bin4_Acres)
>>
>> #Creates data frame of cumlative percentages of each parcel of bin
>> Bin4_cumper=cumsum(Bin4_Acres/Bin4Acres_sum)
>>
>> #Calculates the probability of choosing particular parcel from bin
>> Bin4_parprob=abs(1-Bin4_cumper)
>>
>> #Combines parcel acreage data and cumlative percentage data
>> Bin4Main.data = cbind(Bin4_Acres,Bin4_parprob,Bin4_TAZ,Bin4_TAZvacant)
>>
>> #Bin 5
>> #-------
>>
>> #Loads bin data frame from csv files with acres and TAZ data
>> Bin5_main <-
>> read.csv(file="I:/Research/Samba/urb_transport_modeling/LUSDR/Workspace/BizLandPrice/data/Bin_lookup_values/Bin5_lookup.csv",header=FALSE);
>>
>> #Separates Acres data from main data and converts acres to square feet
>> Bin5_Acres=Bin5_main[[1]]*43560
>>
>> #Separates TAZ data from main data
>> Bin5_TAZ=Bin5_main[[2]]
>>
>> #Separates TAZ data from main data and converts acres to square feet
>> Bin5_TAZvacant=Bin5_main[[3]]*43560
>>
>> #Sums each parcel acreage data of the bin
>> Bin5Acres_sum=sum(Bin5_Acres)
>>
>> #Creates data frame of cumlative percentages of each parcel of bin
>> Bin5_cumper=cumsum(Bin5_Acres/Bin5Acres_sum)
>>
>> #Calculates the probability of choosing particular parcel from bin
>> Bin5_parprob=abs(1-Bin5_cumper)
>>
>> #Combines parcel acreage data and cumlative percentage data
>> Bin5Main.data = cbind(Bin5_Acres,Bin5_parprob,Bin5_TAZ,Bin5_TAZvacant)
>>
>> #Bin 6
>> #-------
>>
>> #Loads bin data frame from csv files with acres and TAZ data
>> Bin6_main <-
>> read.csv(file="I:/Research/Samba/urb_transport_modeling/LUSDR/Workspace/BizLandPrice/data/Bin_lookup_values/Bin6_lookup.csv",header=FALSE);
>>
>> #Separates Acres data from main data and converts acres to square feet
>> Bin6_Acres=Bin6_main[[1]]*43560
>>
>> #Separates TAZ data from main data
>> Bin6_TAZ=Bin6_main[[2]]
>>
>> #Separates TAZ data from main data and converts acres to square feet
>> Bin6_TAZvacant=Bin6_main[[3]]*43560
>>
>> #Sums each parcel acreage data of the bin
>> Bin6Acres_sum=sum(Bin6_Acres)
>>
>> #Creates data frame of cumlative percentages of each parcel of bin
>> Bin6_cumper=cumsum(Bin6_Acres/Bin6Acres_sum)
>>
>> #Calculates the probability of choosing particular parcel from bin
>> Bin6_parprob=abs(1-Bin6_cumper)
>>
>> #Combines parcel acreage data and cumlative percentage data
>> Bin6Main.data = cbind(Bin6_Acres,Bin6_parprob,Bin6_TAZ,Bin6_TAZvacant)
>>
>>
>> #Bin7
>> #-------
>>
>> #Loads bin data frame from csv files with acres and TAZ data
>> Bin7_main <-
>> read.csv(file="I:/Research/Samba/urb_transport_modeling/LUSDR/Workspace/BizLandPrice/data/Bin_lookup_values/Bin7_lookup.csv",header=FALSE);
>>
>> #Separates Acres data from main data and converts acres to square feet
>> Bin7_Acres=Bin7_main[[1]]*43560
>>
>> #Separates TAZ data from main data
>> Bin7_TAZ=Bin7_main[[2]]
>>
>> #Separates TAZ data from main data and converts acres to square feet
>> Bin7_TAZvacant=Bin7_main[[3]]*43560
>>
>> #Sums each parcel acreage data of the bin
>> Bin7Acres_sum=sum(Bin7_Acres)
>>
>> #Creates data frame of cumlative percentages of each parcel of bin
>> Bin7_cumper=cumsum(Bin7_Acres/Bin7Acres_sum)
>>
>> #Calculates the probability of choosing particular parcel from bin
>> Bin7_parprob=abs(1-Bin7_cumper)
>>
>> #Combines parcel acreage data and cumlative percentage data
>> Bin7Main.data = cbind(Bin7_Acres,Bin7_parprob,Bin7_TAZ,Bin7_TAZvacant)
>>
>> #Bin 8
>> #-------
>>
>> #Loads bin data frame from csv files with acres and TAZ data
>> Bin8_main <-
>> read.csv(file="I:/Research/Samba/urb_transport_modeling/LUSDR/Workspace/BizLandPrice/data/Bin_lookup_values/Bin8_lookup.csv",header=FALSE);
>>
>> #Separates Acres data from main data and converts acres to square feet
>> Bin8_Acres=Bin8_main[[1]]*43560
>>
>> #Separates TAZ data from main data
>> Bin8_TAZ=Bin8_main[[2]]
>>
>> #Separates TAZ data from main data and converts acres to square feet
>> Bin8_TAZvacant=Bin8_main[[3]]*43560
>>
>> #Sums each parcel acreage data of the bin
>> Bin8Acres_sum=sum(Bin8_Acres)
>>
>> #Creates data frame of cumlative percentages of each parcel of bin
>> Bin8_cumper=cumsum(Bin8_Acres/Bin8Acres_sum)
>>
>> #Calculates the probability of choosing particular parcel from bin
>> Bin8_parprob=abs(1-Bin8_cumper)
>>
>> #Combines parcel acreage data and cumlative percentage data
>> Bin8Main.data = cbind(Bin8_Acres,Bin8_parprob,Bin8_TAZ,Bin8_TAZvacant)
>>
>> #Bin 9
>> #-------
>>
>> #Loads bin data frame from csv files with acres and TAZ data
>> Bin9_main <-
>> read.csv(file="I:/Research/Samba/urb_transport_modeling/LUSDR/Workspace/BizLandPrice/data/Bin_lookup_values/Bin9_lookup.csv",header=FALSE);
>>
>> #Separates Acres data from main data and converts acres to square feet
>> Bin9_Acres=Bin9_main[[1]]*43560
>>
>> #Separates TAZ data from main data
>> Bin9_TAZ=Bin9_main[[2]]
>>
>> #Separates TAZ data from main data and converts acres to square feet
>> Bin9_TAZvacant=Bin9_main[[3]]*43560
>>
>> #Sums each parcel acreage data of the bin
>> Bin9Acres_sum=sum(Bin9_Acres)
>>
>> #Creates data frame of cumlative percentages of each parcel of bin
>> Bin9_cumper=cumsum(Bin9_Acres/Bin9Acres_sum)
>>
>> #Calculates the probability of choosing particular parcel from bin
>> Bin9_parprob=abs(1-Bin9_cumper)
>>
>> #Combines parcel acreage data and cumlative percentage data
>> Bin9Main.data = cbind(Bin9_Acres,Bin9_parprob,Bin9_TAZ,Bin9_TAZvacant)
>>
>> #Bin 10
>> #-------
>>
>> #Loads bin data frame from csv files with acres and TAZ data
>> Bin10_main <-
>> read.csv(file="I:/Research/Samba/urb_transport_modeling/LUSDR/Workspace/BizLandPrice/data/Bin_lookup_values/Bin10_lookup.csv",header=FALSE);
>>
>> #Separates Acres data from main data and converts acres to square feet
>> Bin10_Acres=Bin10_main[[1]]*43560
>>
>> #Separates TAZ data from main data
>> Bin10_TAZ=Bin10_main[[2]]
>>
>> #Separates TAZ data from main data and converts acres to square feet
>> Bin10_TAZvacant=Bin10_main[[3]]*43560
>>
>> #Sums each parcel acreage data of the bin
>> Bin10Acres_sum=sum(Bin10_Acres)
>>
>> #Creates data frame of cumlative percentages of each parcel of bin
>> Bin10_cumper=cumsum(Bin10_Acres/Bin10Acres_sum)
>>
>> #Calculates the probability of choosing particular parcel from bin
>> Bin10_parprob=abs(1-Bin10_cumper)
>>
>> #Combines parcel acreage data and cumlative percentage data
>> Bin10Main.data = cbind(Bin10_Acres,Bin10_parprob,Bin10_TAZ,Bin10_TAZvacant)
>> #--------------------------------------------------------------------------
>>
>>
>> I have tried :
>>
>> 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="")
>> Bin_main <- read.csv(file=fileName,head=FALSE);
>>
>> #Separates Acres data from main data and converts acres to square feet
>> Bin_Acres=Bin_main[[1]]*43560
>>
>> #Separates TAZ data from main data
>> Bin_TAZ=Bin_main[[2]]
>>
>> #Separates TAZ data from main data and converts acres to square feet
>> Bin_TAZvacant=Bin_main[[3]]*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
>> BinMain.data = cbind(Bin_Acres,Bin_parprob,Bin_TAZ,Bin_TAZvacant)
>> })
>>
>> #-----------------------------------------------------------------
>>
>> I am thinking that a simple for loop would work with a paste command but
>> that appoach has yet to work either.  Thanks
>>
>> Cheers,
>> JR
>> --
>> View this message in context: http://www.nabble.com/loading-and-manipulating-10-data-frames-simplified-tp22731441p22731441.html
>> 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
>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>> 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?
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>

-- 
Mike Lawrence
Graduate Student
Department of Psychology
Dalhousie University

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~ Certainty is folly... I think. ~