Hello, I have a large dataframe (windHW) of wind speeds (ws) at each hour from many days over a set of years. Some of these values are obviously wrong (600 m/s) and I want to get rid of all the values that are larger than 5*sigma for each hour. The 5*sigma (variable name sigma5) values are located in different dataframes for each season, with each dataframe titled as a season. For example, in the dataframe, spring, the 5*sigma value is 79.6 m/s for hour 1.
So my question is as follows: how can I get it so that the code will be able to find all the wind speed values in the dataframe, windHW, of a specific hour be higher than the 5*sigma value at that hour? For example, I would like to find if any of the wind speed values at hour 1 are higher than 79.6 m/s, and if so, then replace that value with NA. I have something like this but I can't seem to figure out how to get it for specific hours: windHW$ws[windHW$ws>=spring$sigma5] <- NA I imported the data using readLines and into the dataframe windHW. I also have R version 3.1.1 Any help would be appreciated! Thanks, Alexandra ______________________________________________ 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.
