Hi, I read in csv files with the following code:
res <- vector(mode="list",length=3) for(i in 1: length(res)) res[[i]]<-read.csv(file=paste("/Users/markaltaweel/Desktop/Output/HydroDataOutput",i,".csv",sep=""),header=T,sep=",") This allows me to load the data into an array of length 3, with the res array containing my data from the csv files. I would like to parse the data in the res array so that I can access my specific data columns. For instance, I have field names called 'Discharge,' 'Volume,' and 'Id'. I would like to aggregate these fields for all the loaded files in the array so that I can perform some basic comparisons of distributions, etc. Does anyone have any example code that would allow me to parse the array so that I can extract the column names and perform some data aggregation and basic stats. Currently, even if I do the following code I get a Null response: a=res[1] a[['Discharge']] # this returns [[1]] NULL Please let me know if there is a solution to this or what am I doing wrong. Thank you in advance. Mark ______________________________________________ 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.