[R] loading and manipulating 10 data frames-simplified

Thu Mar 26 22:25:33 CET 2009

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
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