Folks, I'm new to R and would like to use it to analyze web server performance data. I collect the data in this CSV format: 1304083104.41,Y,668.856249809 1304083104.41,Y,348.143193007 First column is a <seconds.microseconds> timestamp, rows with N instead of Y need to be skipped and the last column has the same format as the first column, except it's request duration (latency). I would like to calculate average number of requests per second, mean latency, variance, 5 and 95 percentiles. What is the best way to accomplish this, starting with importing of time series? Thanks, Joel -------------------------------------------------------------------------- - for hire: mac osx device driver ninja, kernel extensions and usb drivers ---------------------+------------+--------------------------------------- http://wagerlabs.com | @wagerlabs | http://www.linkedin.com/in/joelreymont ---------------------+------------+---------------------------------------
importing and filtering time series data
1 message · Joel Reymont