- Scilab Online Help
- Statistics
- cdfbet
- cdfbin
- cdfchi
- cdfchn
- cdff
- cdffnc
- cdfgam
- cdfnbn
- cdfnor
- cdfpoi
- cdft
- center
- wcenter
- cmoment
- correl
- covar
- ftest
- ftuneq
- geomean
- harmean
- iqr
- labostat
- mad
- mean
- meanf
- median
- moment
- msd
- mvvacov
- nancumsum
- nand2mean
- nanmax
- nanmean
- nanmeanf
- nanmedian
- nanmin
- nanstdev
- nansum
- nfreq
- pca
- perctl
- princomp
- quart
- regress
- sample
- samplef
- samwr
- show_pca
- st_deviation
- stdevf
- strange
- tabul
- thrownan
- trimmean
- variance
- variancef
Please note that the recommended version of Scilab is 2025.0.0. This page might be outdated.
See the recommended documentation of this function
tabul
frequency of values of a matrix or vector
Calling Sequence
[m]=tabul(X [,order])
Arguments
- X
vector or matrix (of real or complex numbers or strings)
- order
(optionnal) a character equal to "d" or "i" (default value "d")
- m
a 2 columns matrix (if
X
is a numerical vector or matrix) or a list with 2 members (ifX
is a string vector or matrix).
Description
This function computes the frequency of values of
the components of a vector or matrix X
of numbers or
string characters :
- if X is a numerical vector or matrix
then
m
is a two column matrix who contains in the first column the distinct values ofX
and in the other column the number of occurrences of those values (m(i,2) is the number of occurrences of m(i,1)).- if X is a string vector or matrix
then
m
is a list whose first member is a string (column) vector composed with the distinct values ofX
and the second member is a (column) vector whose components are the number of occurrences of those values ( m(i)(2) is the number of occurrences of the string m(i)(1) ).
The optional parameter order
must be "d" or "i" (by default
order="d") and gives the order (decreasing or increasing) the distinct
values of X will be sorted.
Examples
// first example X = [2 8 0 3 7 6 8 7 9 1 6 7 7 2 5 2 2 2 9 7] m1 = tabul(X) m2 = tabul(X, "i") // second example X = ["ba" "baba" "a" "A" "AA" "a" "aa" "aa" "aa" "A" "ba"] m = tabul(X,"i") // third example n = 50000; X = grand(n,1,"bin",70,0.5); m = tabul(X,"i"); clf() plot2d3(m(:,1), m(:,2)/n) xtitle("empirical probabilities of B(70,0.5)") // last example : computes the occurrences of words of the scilab license text = read(SCI+"/license.txt",-1,1,"(A)"); // read the scilab license bigstr = strcat(text," "); // put all the lines in a big string sep = [" " "," "." ";" "*" ":" "-" """"]; // words separators words = tokens(bigstr, sep); // cut the big string into words m = tabul(words); // computes occurrences of each word [occ , p] = gsort(m(2)); // sort by decreasing frequencies results = [m(1)(p) string(occ)] // display result
Authors
- Carlos Klimann (original author)
- J.S. Giet and B. Pincon (new version)
Bibliography
Wonacott, T.H. & Wonacott, R.J.; Introductory Statistics, fifth edition, J.Wiley & Sons, 1990.
<< strange | Statistics | thrownan >> |