Dear R command, I was wondering if I could ask you recommendations on my problem if that is fine with you. Basically, I have a data frame with 5 columns and 10 000 tweets recorded(rows). Those columns are: numberofatweet(number), tweet (actual textual tweet), locations(from where tweet sent), badwords(words that should not be used on twitter, that is just a column irrespective the number of a tweet and it contains only 80 rows with one word recorded in one cell. My question is whether it is possible to select only the rows which would contain such tweets, where in column "tweet"(actual text) there was one of those words from badwords column present. I tried to use grep and grepl, but nothing seems to be working.
Thank you in advance, Vladimir [[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.