Hi, 1. I have scraped some data from the web, subset shown below
> dput(temp.data) c("Armenia", "Armenia", "43827", "39200", "35700", "36700", "39341", "30571", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", " 0", "0", "0", "0", "0", "Austria", "Austria", "135417", "166200", "144500", "147300", "163211", "162536", "155412", "133667", "134962", "146440", "131188", "100001", "100000", "80000", "35000") 2. The corresponding list of countries, is as follows > dput(raw.country) c("Armenia", "Austria", "Belarus", "Belgium", "Brazil", "Bulgaria", "Canada", "Castile-Leon (Hiszania)", "Catalonia", "Chile", "Colombia", "Costarica", "Croatia", "Cyprus", "Czech Republic", "Ecuador", "Estonia", "Finland", "France", "Georgia", "Germany", "Ghana", "Greece", "Hungary", "Indonesia", "Iran", "Ireland", "Israel", "Italy", "Kazakhstan", "Kyrgyzstan", "Latvia", "Lithuania", "Macedonia", "Malaysia", "Mexico", "Moldova", "Mongolia", "Netherland", "Norway", "Pakistan", "Panama", "Paraguay", "Peru", "Poland", "Portugal", "Puertorico", "Romania", "Russia", "Serbia", "Slovakia", "Slovenia", "Spain", "Sweden", "Switzerland", "Tunisia", "Ukraine", "United Kingdom", "USA", "Venezuela", "Vltava", "World Total") 3. I want to organize the data into a data frame, where each row will contain the 20 values for the corresponding country. It needs to ignore the country name which appears twice.Something like: Armenia "43827", "39200", "35700", "36700", "39341", "30571", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", " 0", "0", "0", "0", "0", "Austria", "135417", "166200", "144500", "147300", "163211", "162536", "155412", "133667", "134962", "146440", "131188", "100001", "100000", "80000", "35000" and so on Thanks / [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.