On 11/21/07, Punit Anand <[EMAIL PROTECTED]> wrote: > Hello everyone, > > Since the fields in variables column are unique with respect to ID and > fiscal year; any function like > sum,min,max,mean etc will lead to the desired result
You should probably check that, as the warning only occurs when aggregation is definitely occurring. > Therefore cast(dataread, ID + Period ~ variable,sum) > Will lead to the desired result in my case; If you want a list of data frames by ID, you might also want to try: cast(dataread, Period ~ variable | ID, sum) Hadley > Thanks, > Punit > > > > -----Original Message----- > From: Punit Anand > Sent: Wednesday, November 21, 2007 11:21 AM > To: 'r-help@r-project.org' > Subject: Help Required in using cast (reshape package) function > > Hello everyone, > > I am new to R. I have data in the form of excel pivot table format and I > want to cast it into a format which can make it compatible with > computation. > > Since I already have the package in pivot format; I avoid melt function > and use the cast directly. > I inspect the > > dataread <- read.csv(".....", header=TRUE) > > Data in the format > Id Region Country Industry > Period variable value > "Aaa11 xx" "Latin America" "Mexico" "food & beverages" > "2002:FY" "account payable" 10000 > "Aaa11 xx" "Latin America" "Mexico" "food & beverages" > "2002:FY" "account receivable" 50000 > "Aaa11 xx" "Latin America" "Mexico" "food & beverages" > "2002:FY" "XXXX" 70000 > "Aaa11 xx" "Latin America" "Mexico" "food & beverages" > "2002:FY" "YYYY" "NA" > "Aaa11 xx" "Latin America" "Mexico" "food & beverages" > "2002:FY" "ZZZZ" > "Aaa11 xx" "Latin America" "Mexico" "food & beverages" > "2002:FY" "AAAA" 10000 > "Aaa11 xx" "Latin America" "Mexico" "food & beverages" > "2002:FY" "ccccccc" 10000 > > # I want to arrange data in the format > Id Region Country Industry > Period "account payable" "account receivable" XXXX" "YYYYY" > "ZZZZ" "AAAA" "CCCCC" > "Aaa11 xx" "Latin America" "Mexico" "food & beverages" > "2002:FY" 10000 50000 70000 "NA" 10000 > 10000 > > # casting the data > cast <- cast(dataread, ID + Period ~ variable) > > When I do that the data is casted as a pivot with a warning "Aggregation > requires fun.aggregate: length used as default", and the casted data > gives me the count of variables (as suggested by the warning ) > > Id Region Country Industry > Period "account payable" "account receivable" XXXX" "YYYYY" > "ZZZZ" "AAAA" "CCCCC" > "Aaa11 xx" "Latin America" "Mexico" "food & beverages" > "2002:FY" 1 1 1 NA NA 10000 > 10000 > > How do I use the fun.aggregate feature of the cast function to obtain > the desired result? > > Moreover, I want to subdivide the casted data into subsets based on ids. > How do I achieve that? > > > Thanks in advance, > > Punit Anand > > ______________________________________________ > 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. > -- http://had.co.nz/ ______________________________________________ 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.