Following #13, a native support for CDFs would be nice.
The idea is that all results for each run would be printed as a line for CDFs.
Either a single test produce many RESULT-XXX in stdout, so we have many points and can draw a CDF showing the percentage of points in Y, and the value range in X from that.
Or, one have "noise" variables, and take all results from the noise in a single variable using var_aggregate={VAR1+VAR2+VAR3:all}.
Maybe I should add a prefix to variables to automatically "hide" them, i.e one would be able to add a variable such as @LOSS=[0-10], showing we don't really care about the result for a particular LOSS rate but want to re-run tests for many LOSS values and its impact on the variance (through a CDF, or errorbars, or boxplot).
Following #13, a native support for CDFs would be nice.
The idea is that all results for each run would be printed as a line for CDFs.
Either a single test produce many RESULT-XXX in stdout, so we have many points and can draw a CDF showing the percentage of points in Y, and the value range in X from that.
Or, one have "noise" variables, and take all results from the noise in a single variable using var_aggregate={VAR1+VAR2+VAR3:all}.
Maybe I should add a prefix to variables to automatically "hide" them, i.e one would be able to add a variable such as
@LOSS=[0-10]
, showing we don't really care about the result for a particular LOSS rate but want to re-run tests for many LOSS values and its impact on the variance (through a CDF, or errorbars, or boxplot).