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>> Statistics
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 (row mean, column mean) of vector/matrix entries
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
Sampling
sample
—
Sampling with replacement
samplef
—
sample values with replacement from a population with given frequencies.
samwr
—
Sampling without replacement
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.
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