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
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