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Subchapters-> prctile ftail tpdf ttail ittail cnormal inormal rand snormal seed colmad colmse colrange colmode kurtosis skewness randperm ranseed unifm0v1 unirnd normrnd exprnd gamrnd cauchyrnd gumbelrnd laplacernd lognrnd wblrnd binornd poissrnd exppdf expcdf normpdf unifpdf unifcdf wblpdf wblcdf colcor colcov colmean colstd colmax rowmax colsum rowsum colnorm rownorm median colmedian colmead colvar corr conv conv2 sum cumsum prod cumprod

Current Chapters-> starting basic expression flow elementary submatrices io stringssort graphics userdefined linear fit filtering statistics special integration polynomial gui advanced debugger linking omrte appendix mlmode glossary

Parent Chapters-> Omatrix6 statistics

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Statistics and Statistical Distributions
Basic Statistics

colrange	Computing The Range of Data for Each Column
colmax	Determining The Maximum Element In Each Column
rowmax	Determining The Maximum Element In Each Row
colsum	Computing The Sum Of Each Column
rowsum	Computing The Sum Of Each Row
sum	Sum of Elements of a Matrix
cumsum	Running Cumulative Sum of Elements of a Matrix
prod	Product of Elements of a Matrix
cumprod	Running Cumulative Product of Elements of a Matrix

Descriptive Statistics

colmean	Computing The Mean Of Each Column
colmedian	Computing The Median of Each Column
median	Computing The Median
colstd	Computing the Standard Deviation of Each Column
colvar	Computing the Variance of Each Column
colmode	Computing The Mode of Each Column
colcor	Correlation Coefficients Between Columns Of A Matrix
colcov	Covariance Between Columns Of A Matrix
colmad	Computing The Mean Absolute Deviation Of Each Column
colmead	Computing The Median Absolute Deviation of Each Column
colmse	Computing The Mean Squared Deviation Of Each Column
colnorm	Computing The Norm Of Each Column
rownorm	Computing The Euclidean Norm Of Each Row Of A Matrix
prctile	Percentiles of Each Column
kurtosis	Computing The Kurtosis of Each Column
skewness	Computing The Skewness of Each Column
corr	Column-wise Correlation Of Matrices Using FFT
conv	Column-wise Convolution Of Matrices Using FFT
conv2	Two Dimensional Convolution Of Matrices Using FFT

Statistical Distributions

rand	Generating Uniformly Distributed Pseudo Random Numbers
seed	Seeding Pseudo Random Number Generation
ranseed	Using Time To Seed Random Number Generation
snormal	Generating Normally Distributed Pseudo Random Numbers
unirnd	Generating Random Numbers with Uniform Distribution
normrnd	Generating Random Numbers with Normal Distribution
exprnd	Generating Random Numbers with Exponential Distribution
cauchyrnd	Generating Random Numbers with Cauchy Distribution
gumbelrnd	Generating Random Numbers with Gumbel Distribution
laplacernd	Generating Random Numbers with Laplace Distribution
lognrnd	Generating Random Numbers with Log Normal Distribution
wblrnd	Generating Random Numbers with Weibull Distribution
gamrnd	Generating Random Numbers with Gamma Distribution
binornd	Generating Random Numbers with Binomial Distribution
poissrnd	Generating Random Numbers with Poisson Distribution
ftail	Compute Tail Probabilities For An F-Statistic
ttail	Tail Probability Of A T-Statistic
ittail	Inverse Of The Cumulative Distribution For T-Statistic
unifm0v1	Simulating a Mean Zero Variance One Uniform Random Variable
randperm	Generating a Random Permutation

Probability Density Functions

normpdf	Normal Probability Density Function
exppdf	Exponential Probability Density Function
unifpdf	Uniform Probability Density Function
wblpdf	Weibull Probability Density Function
tpdf	The Probability Density For A T-statistic

Cumulative Distribution Functions

cnormal	The Cumulative Normal Distribution Function
expcdf	Exponential Cumulative Distribution Function
unifcdf	Uniform Cumulative Distribution Function
wblcdf	Weibull Cumulative Density Function
inormal	Inverse Of The Cumulative Normal Distribution Function