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NaN-toolbox

A statistics and machine learning toolbox
(1720 downloads for this version - 64538 downloads for all versions)
Details
Version
1.1
A more recent valid version with binaries for Scilab 5.3 exists: 1.3.2.1
Owner Organization
TU Berlin / FG Regelungssysteme
Maintainer
Holger Nahrstaedt
License
Creation Date
January 17, 2011
Source created on
Scilab 5.3.x
Binaries available on
Scilab 5.3.x:
Windows 32-bit macOS
Install command
--> atomsInstall("nan")
Description
            This toolbox is meanly ported from the nan-toolbox for matlab/octave.

Please note that same functions has to be renamed as there are exists already
scilab functions with the same name.

Functions:
Data Correlation and Covariance
  "covm"
  "ecovm"
  "decovm"
  "xcorr"
  "xcorr2"
  "conv"
  "conv2"
  "xcov"
  "xcovf"
  "conv2nan"
  "cor"         
  "cov"        
  "corrcoef"
  "corrcov"
  "rankcorr"
  "partcorrcoef"
  "tiedrank"
  "rankcoef"

Descriptive Statistics

"nan_mean" //mean exists in scilab
  "nan_var"                  //  var is used in scilab
  "nan_std"   // 
  "nan_median" // median exists in scilab
  "nan_iqr"       //iqr exists in scilab
  "nan_trimmean"   //trimmean exists in scilab
  "nan_center"    //center exists in scilab
  "nan_geomean"      //geomean exists in scilab
  "nan_detrend"      //detrend exists in scilab
  "nan_moment"    //moment exists in scilab
  "nan_range"     // range exists in scilab
  "medAbsDev"
  "sem"
  "meansq"
  "sumsq"
  "rms"
  "statistic"
  "skewness"
  "kurtosis"
  "zscore"
  "zScoreMedian"
  "meanAbsDev" 
  "harmmean"
  "spearman"
  "ranks"
  "quantile"    
  "prctile"
  "percentile"
  "trimean"
  "meandev"
  "ecdf"
  "coefficient_of_variation"
  "hist2res"
  "histo"
  "histo2"
  "histo3"
  "histo4"
  "histc"
  "grpstats"

statistical Visualization

 "bland_altmann"
 "cdfplot"
  "gscatter"
  "boxplot"
  "normplot"
  "andrewsplot"
  "hist"
  "ecdfhist"
  "fscatter3"
  "plotmatrix"
  "gplotmatrix"
  "parallelcoords"

hypothesis Tests
  "ttest"
  "ttest2"

Classification
"train_sc"
"test_sc"
"classify"
"xval"
"kappa"
"train_lda_sparse"
"fss"
"cat2bin"
"row_col_deletion"
"mahal"
"rocplot"
"svmrocplot"
"train"
"predict"
"svmtrain"
"svmpredict"

cluster Analysis
"kmeans"

utility functions
 "sumskipnan"
  "rem"
  "mod"
  "postpad"
  "prepad"
  "nan_fft"
  "nan_ifft"
  "flag_nans_occured"
  "flag_impl_skip_nan"
  "flag_accuracy_level"
  "flag_impl_significance"
  "grp2idx"
  "str2array"            
Files (3)
[2.12 MB]
Source code archive

[3.07 MB]
Windows 32-bit binary for Scilab 5.3.x
Windows 32-bit
Automatically generated by the ATOMS compilation chain

[2.53 MB]
macOS binary for Scilab 5.3.x
MacOSX version
Automatically generated by the ATOMS compilation chain

News (0)
Comments (1)     Leave a comment 
Comment from Holger Nahrstaedt -- January 17, 2011, 10:20:16 AM    
Should i rename every function to nan_... ?

Answer from Allan CORNET -- January 17, 2011, 10:29:29 AM    
> Should i rename every function to nan_... ?
> 



Hi,

it should be better that you add a prefix to your functions 
like this we do not have some trouble with same name in others atoms modules

Thanks 

Allan
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