Hello, I am trying to plot the hourly standard deviation of wind speeds from 13 different measured locations over many years. I imported the data using readLines and into a dataframe called finalData. Using tapply, I determined the standard deviation of the windspeed (ws) for each hour (hour) from every location (stn) using this command line:
statHour = tapply(finalData$ws,list(finalData$stn,finalData$hour),sd) I want to plot the standard deviation for each hour of the day, with hours as the x-axis and the standard deviation for the y-axis, and each station as a different color. I've managed to get a boxplot of this, but ideally, I'd like a scatter plot to determine the variations between each instrument throughout the day. The boxplot command is this: boxplot(statHour, names=colnames(statHour),xlab='Hour of the Day',ylab='Standard Deviation of Wind Speed') I also tried to make a dataframe of the tapply output but it ends up using the hours as the column names instead of putting it into the dataframe. Please help!! I have R version 3.1.1 Thanks a lot, 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.
