 acctest | ACCTEST is a script to evaluate the accuracy and speed of |
| cat2bin | CAT2BIN converts categorial into binary data |
| cdfplot | CDFPLOT plots empirical commulative distribution function |
| center | CENTER removes the mean |
| classify | CLASSIFY classifies sample data into categories |
| coefficient_of_variation | COEFFICIENT_OF_VARIATION returns STD(X)/MEAN(X) |
| conv2nan | CONV2 2-dimensional convolution |
| cor | COR calculates the correlation matrix |
| corrcoef | CORRCOEF calculates the correlation matrix from pairwise correlations. |
| cov | COV covariance matrix |
| covm | COVM generates covariance matrix |
| decovm | decompose extended covariance matrix into mean (mu), |
| detrend | DETREND removes the trend from data, NaN's are considered as missing values |
| ecdf | ECDF empirical cumulative function |
| flag_accuracy_level | FLAG_ACCURACY_LEVEL sets and gets accuracy level |
| flag_implicit_significance | The use of FLAG_IMPLICIT_SIGNIFICANCE is in experimental state. |
| flag_implicit_skip_nan | FLAG_IMPLICIT_SKIP_NAN sets and gets default mode for handling NaNs |
| flag_nans_occured | FLAG_NANS_OCCURED checks whether the last call(s) to sumskipnan or covm |
| fss | FSS - feature subset selection and feature ranking |
| geomean | GEOMEAN calculates the geomentric mean of data elements. |
| gscatter | GSCATTER scatter plot of groups |
| harmmean | HARMMEAN calculates the harmonic mean of data elements. |
| hist2res | Evaluates Histogram data |
| iqr | IQR calculates the interquartile range |
| kappa | KAPPA estimates Cohen's kappa coefficient |
| kurtosis | KURTOSIS estimates the kurtosis |
| load_fisheriris | LOAD_FISHERIRIS |
| mad | MAD estimates the Mean Absolute deviation |
| mahal | MAHAL return the Mahalanobis' D-square distance between the |
| mean | MEAN calculates the mean of data elements. |
| meandev | MEANDEV estimates the Mean deviation |
| meansq | MEANSQ calculates the mean of the squares |
| medAbsDev | medAbsDev calculates the median absolute deviation |
| median | MEDIAN data elements, |
| moment | MOMENT estimates the p-th moment |
| naninsttest | NANINSTTEST checks whether the functions from NaN-toolbox have been |
| nanmean | NANMEAN same as SUM but ignores NaN's. |
| nanstd | NANSTD same as STD but ignores NaN's. |
| nansum | NANSUM same as SUM but ignores NaN's. |
| nantest | NANTEST checks several mathematical operations and a few |
| normcdf | NORMCDF returns normal cumulative distribtion function |
| norminv | NORMINV returns inverse cumulative function of the normal distribution |
| normpdf | NORMPDF returns normal probability density |
| partcorrcoef | PARTCORRCOEF calculates the partial correlation coefficient. |
| percentile | PERCENTILE calculates the percentiles of histograms and sample arrays. |
| prctile | PRCTILE calculates the percentiles of histograms and sample arrays. |
| quantile | QUANTILE calculates the quantiles of histograms and sample arrays. |
| rankcorr | RANKCORR calculated the rank correlation coefficient. |
| ranks | RANKS gives the rank of each element in a vector. |
| rms | RMS calculates the root mean square |
| sem | SEM calculates the standard error of the mean |
| skewness | SKEWNESS estimates the skewness |
| spearman | SPEARMAN Spearman's rank correlation coefficient. |
| statistic | STATISTIC estimates various statistics at once. |
| std | STD calculates the standard deviation. |
| sumskipnan | SUMSKIPNAN adds all non-NaN values. |
| sumsq | SUMSQ calculates the sum of squares. |
| tcdf | TCDF returns student cumulative distribtion function |
| test_sc | TEST_SC: apply statistical and SVM classifier to test data |
| tiedrank | TIEDRANK compute rank of samples, the mean value is used in case of ties |
| tinv | TINV returns inverse cumulative function of the student distribution |
| tpdf | TPDF returns student probability density |
| train_lda_sparse | Linear Discriminant Analysis for the Small Sample Size Problem as described in |
| train_sc | Train a (statistical) classifier |
| trimean | TRIMEAN evaluates basic statistics of a data series |
| trimmean | TRIMMEAN calculates the trimmed mean by removing the upper and lower |
| var | VAR calculates the variance. |
| xcovf | XCOVF generates cross-covariance function. |
| xval | XVAL is used for crossvalidation |
| zScoreMedian | zScoreMedian removes the median and standardizes by the 1.483*median absolute deviation |
| zscore | ZSCORE removes the mean and normalizes the data |
Master index