Statistics
- Cumulated Distribution Functions
- binomial — binomial distribution probabilities
- cdfbet — cumulative distribution function Beta distribution
- cdfbin — cumulative distribution function Binomial distribution
- cdfchi — cumulative distribution function chi-square distribution
- cdfchn — cumulative distribution function non-central chi-square distribution
- cdff — cumulative distribution function Fisher distribution
- cdffnc — cumulative distribution function non-central f-distribution
- cdfgam — cumulative distribution function gamma distribution
- cdfnbn — cumulative distribution function negative binomial distribution
- cdfnor — cumulative distribution function normal distribution
- cdfpoi — cumulative distribution function poisson distribution
- cdft — cumulative distribution function Student's T distribution
- Mean Central Tendency
- center — center
- geomean — geometric mean
- harmean — harmonic mean : inverse of the inverses average (without zeros)
- mean — mean of all values, or means along a given dimension
- meanf — weighted mean of a vector or a matrix
- median — median (row median, column median,...) of
vector/matrix/array entries
- trimmean — trimmed mean of a vector or a matrix
- wcenter — center and weight
- Dispersion widths
- iqr — interquartile range
- mad — mean absolute deviation
- stdev — standard deviation (row or column-wise) of vector/matrix entries
- stdevf — standard deviation
- strange — range
- variance — variance (and mean) of a vector or matrix (or hypermatrix) of real or complex numbers
- variancef — variance (and mean) of a vector or matrix of frequency-weighted real or complex numbers
- Empirical distribution
- cmoment — central moments of all orders
- histc — computes the histogram of a simple series of data
- moment — non central moments of all orders
- perctl — computation of percentils
- quart — computation of quartiles
- tabul — frequency of values of a matrix or vector
- Multivariate Correl Regress PCA
- correl — correlation of two variables
- cov — Sample covariance matrix
- covar — covariance of two variables
- pca — Computes principal components analysis with standardized variables
- princomp — Principal components analysis
- reglin — Linear regression
- show_pca — Visualization of principal components analysis results
- Data with Missing Values
- nancumsum — This function returns
the cumulative sum of the values of a matrix
- nand2mean — difference of the means of
two independent samples
- nanmean — mean (ignoring Nan's)
- nanmeanf — mean (ignoring Nan's) with a given frequency.
- nanmedian — median of the values of a numerical vector or matrix
- nanreglin — Linear regression
- nanstdev — standard deviation (ignoring the NANs).
- nansum — Sum of values ignoring NAN's
- thrownan — Eliminates nan values
- Hypothesis Testing
- ftest — Fisher ratio
- ftuneq — Fisher ratio for samples of unequal size.