Statistics::SPC 0.1

Statistics::SPC is a Perl module with calculations for Stastical Process Control (SPC). Creates thresholds based on the variability of all data, # of samples not meeting spec, and variablity within sample sets, all from training data. Note: this is only accurate for data which is normally distributed when the process is under control Recommended usage: at least 15 sample sets, w/ sample size >=2 (5 is good) This module is fudged to work for sample size 1, but its a better idea to use >= 2 Important: the closer the process your are monitoring to how you would like it to be running (steady state), the better the calculated control limits will be. Example: we take 5 recordings of the CPU utilization at random intervals over the course of a minute. We do this for 15 minutes, keeping all fifteen samples. Using this will be able to tell whether or not CPU use is in steady state. SYNOPSIS my $spc = new Statistics::SPC; $spc->n(5) # set the number of samples per set $spc->Uspec(.50); # CPU should not be above 50% utilization $spc->Lspec(.05); # CPU should not be below 5% # (0 is boring in an example) # Now feed training data into our object $return = $spc->history($history); # "train the system"; # $history is ref to 2d array; # $return > 1 means process not likely to # meet the constraints of your specified # upper and lower bounds # now check to see if the the latest sample of CPU util indicates # CPU utilization was under control during the time of the sample $return = $spc->test($data); # check one sample of size n # $return < 0 there is something wrong with your data # $return == 0 the sample is "in control" # $return > 0 there are $return problems with the sample set.

Requirements:	No special requirements
Platforms:	Linux
Keyword:	Control,  Cpu,  Data,  Libraries,  Module,  Perl Module,  Process,  Process Control,  Programming,  Return,  Sample,  Spc,  Stastical Process Control,  Statisticsspc
Users rating:	0/10