Quickly create random variables for common distributions and export to csv or json.
pip3 install .
Using random variables as arguments and in equations:
stats random -i "x ~ poisson(2); y ~ exp(x); z = x * y;" --output csv --nreps 10 --decimals 3
x,y,z
2,3.964,7.927
1,1.709,1.709
2,0.322,0.644
3,4.033,12.098
2,3.485,6.971
2,3.141,6.283
0,0.0,0.0
0,0.0,0.0
1,0.045,0.045
4,2.617,10.469
Piping to plot:
stats random -i "x ~ norm(15, 3); y ~ norm(10, 1); z = x * y;" --output csv --nreps 1000 --decimals 3
| tail -n+2
| awk -F "," '{print $3}'
| feedgnuplot --histogram 0 --binwidth 15
From file:
stats random -f examples/roi.example | tail -n+2 | awk -F "," '{print $NF}' | feedgnuplot --histogram 0 --binwidth 10000
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