sddssequence -pipe=out -define=i,type=long -sequence=begin=0,end=9999,delta=1 | sddsprocess -pipe -define=column,gaussRN,grnd -define=column,uniformRN,rnd | sddsdistest -pipe -test=ks -gaussian -column=gaussRN -column=uniformRN | sddsprintout -pipe -column=ColumnName -column=distestSigLevel
The result is
ColumnName distestSigLevel ------------------------------------- gaussRN 4.019061e-01 uniformRN 1.598565e-32
which shows that the K-S test accurately distinguishes between numbers drawn from the two distributions. The probability that the numbers in column uniformRN are from a gaussian distribution is very small, whereas the probability that the numbers in column gaussRN are from a gaussian distribution is 40%.
sddsdistest [input] [output] [-pipe=[in][,out]] -column=name[,sigma=name] ... -exclude=name[,name...] ... -gaussian | -poisson | -student | -chisquared [-degreesOfFreedom=value | @parameterName]