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Scilab help >> Statistics

Statistics

  • 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 F 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
  • center — center
  • wcenter — center and weight
  • cmoment — central moments of all orders
  • correl — correlation of two variables
  • covar — covariance of two variables
  • ftest — Fischer ratio
  • ftuneq — Fischer ratio for samples of unequal size.
  • geomean — geometric mean
  • harmean — harmonic mean
  • iqr — interquartile range
  • mad — mean absolute deviation
  • 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
  • moment — non central moments of all orders
  • msd — mean squared deviation
  • mvvacov — computes variance-covariance matrix
  • nancumsum — Thos function returns the cumulative sum of the values of a matrix
  • nand2mean — difference of the means of two independent samples
  • nanmax — max (ignoring Nan's)
  • 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
  • nanmin — min (ignoring Nan's)
  • nanstdev — standard deviation (ignoring the NANs).
  • nansum — Sum of values ignoring NAN's
  • nfreq — frequence of the values in a vector or matrix
  • pca — Computes principal components analysis with standardized variables
  • perctl — computation of percentils
  • princomp — Principal components analysis
  • quart — computation of quartiles
  • regress — regression coefficients of two variables
  • sample — Sampling with replacement
  • samplef — sample with replacement from a population and frequences of his values.
  • samwr — Sampling without replacement
  • show_pca — Visualization of principal components analysis results
  • st_deviation — standard deviation (row or column-wise) of vector/matrix entries
  • stdevf — standard deviation
  • strange — range
  • tabul — frequency of values of a matrix or vector
  • thrownan — Eliminates nan values
  • trimmean — trimmed mean of a vector or a matrix
  • variance — variance of the values of a vector or matrix
  • variancef — standard deviation of the values of a vector or matrix
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with contributors 		Last updated:
Thu May 12 11:44:24 CEST 2011