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@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.