Hello R user,
I have four data sets in dir "D:/Bharat Warule/Rdata_file" which are
output_data_prod_1.rda, output_data_prod_2.rda, output_data_prod_3.rda,
output_data_prod_4.rda.
Each data set is huge size like number of rows 343297 and columns are near
to 50.
For example:
x1 <- data.frame(x11=c(1,2,3,4,5),x112=c(10,10,10,10,10))
x2 <- data.frame(x11=c(1,2,3,4,5),x122=c(20,20,20,20,20))
x3 <- data.frame(x11=c(1,2,3,4,5),x132=c(30,30,30,30,30))
x4 <- data.frame(x11=c(1,2,3,4,5),x142=c(40,40,40,40,40))
x5 <- data.frame(x11=c(1,2,3,4,5),x152=c(50,50,50,50,50))
for(i in 1:5){
name <- paste('x',i,sep='')
name1 <- paste(name,"rda",sep='.')
save(name, file = name1)
}
I want merge this data sets into one data set but I don’t know where I am
going wrong?
Please help me. Thanks for your help.
subsetname <- "x1"
file_no <- 4
output_data_prod <- data.frame()
for(n in 1:file_no){
myfile <- gsub("( )", "", paste(subsetname , "_", n,".rda"))
temp_data <- load(file = myfile)
data_22 <- get(temp_data)
if(dim(output_data_prod)[1]==0){output_data_prod <- data_22
}else{
output_data_prod <- merge(inData1 = output_data_prod,
inData2 = data_22 ,type = "inner", all=FALSE ,
by =c("x11"))}
}
-----
Bharat Warule
Cypress Analytica ,
Pune
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