| abdPlot | Abundances barplot |
| abdPlotTabs | Abundances barplots inside Tk tabs. |
| abdPlotTabsGUI | Abundances barplots inside Tk tabs. |
| addClustering | Clustering addition |
| addIds2Sampling | Adding Ids To a Sampling |
| addOperation | Add operation |
| analyzePlot | Plot for data exploration/analysis |
| applyPreprocessing | Preprocessing application |
| bipartitionShi | Spectral clustering |
| buildBatchTab | Batch process tab |
| buildClusteringSample | Clustering loading |
| buildConstraintsMatrix | Constraints matrices |
| buildImportTab | Build Import tab |
| buildNameOperation | Build Name Operation |
| buildPreprocessTab | build Preprocess tab |
| buildSemisupTab | Semi-Supervised tab |
| buildsupTab | Supervised tab |
| buildUnsupTab | Unsupervised tab |
| clusterDensity | Clusters density computation |
| clusterSummary | Clusters summaries computation |
| computeCKmeans | Constrained K-means clustering |
| computeCSC | Constrained Spectral Clustering |
| computeEM | Expectation-Maximization clustering |
| computeGap | Gap computation |
| computeGap2 | Gap computation |
| computeGaussianSimilarity | Gaussian similarity |
| computeGaussianSimilarityZP | Gaussian similarity |
| computeItemsSample | Prediction of number of cells in colonies |
| computeItemsSampleGUI | GUI to estimate the number of cells in colonies for each... |
| computeKmeans | K-means clustering |
| computePcaNbDims | Number of dimensions for PCA |
| computePcaSample | Principal Components Analysis |
| computeSampling | Sampling raw data matrix |
| computeSemiSupervised | Semi-supervised clustering |
| computeSpectralEmbeddingSample | Spectral embedding |
| computeSupervised | Supervised classification |
| computeUnSupervised | Unsupervised clustering |
| convNamesPairsToIndexPairs | Conversion of a set of names pairs to matrix of index pairs... |
| convNamesToIndex | Conversion of element names to indexes |
| cor.mtest | Correlation test. |
| countItems | Manually counting the number of cells in colonies |
| countItemsSampleGUI | GUI to manually count the number of cells in colonies |
| createResFolder | Results directories creation |
| critMNCut | Multiple Normalized Cut |
| detailOperation | detail Operation |
| dot-logoFrame | Logo frame in the graphical user interface |
| dropTrainSetVars | Parameters dropping |
| ElbowFinder | Elbow Finder |
| ElbowPlot | Elbow Plot. |
| extractFeaturesFromSummary | Extraction of features from a summary object. |
| extractProtos | Prototypes extraction |
| featSpaceNameConvert | Feature Space Name Conversion |
| FindNumberK | Automatic estimation of the number of clusters |
| formatLabelSample | Labels formatting |
| formatParameterList | Format Parameter List |
| guessFileEncoding | File Encoding Identification. |
| imgClassif | Images clustering |
| importLabelSample | Labels importation |
| importSample | Sample importation |
| initBatchTab | batch tab |
| initImportTab | import tab |
| initParameters | Parameters initialization |
| initPreprocessTab | build Preprocess tab |
| initSemisupTab | Semi-Supervised tab |
| initSupTab | supervised tab |
| initUnsupTab | Unsupervised tab |
| itemsModel | Predictive models computation for the number of cells in... |
| KmeansAutoElbow | Kmeans clustering with automatic estimation of number of... |
| KmeansQuick | Quick kmeans clustering |
| KwaySSSC | Semi-supervised spectral clustering |
| listDerivableFeatureSpaces | Builds list of derivable feature spaces |
| loadPreprocessFile | Preprocessing loading |
| loadPreviousRes | Previous clustering results loading |
| loadSample | Sample loading |
| loadSummary | Summaries loading |
| MainWindow | Main window |
| makeFeatureSpaceOperations | Make operation config object to build feature spaces |
| makeTitle | RclusTool makeTitle. |
| matchNames | Match Names |
| measureConstraintsOk | Rates of constraints satisfaction |
| measureMNCut | Multiple Normalized Cut |
| messageConsole | RclusTool consoleMessage. |
| nameClusters | Clusters renaming |
| plotDensity2D | plot Variables Density |
| plotProfile | Profile and image plotting |
| plotProfileExtract | Profile and image plotting |
| plotSampleFeatures | 2D-features scatter-plot |
| previewCSVfile | Preview CSV file |
| purgeSample | Sample purging |
| RclusToolGUI | Username and user type selection |
| readTrainSet | Training set reading |
| removeZeros | Zeros replacement |
| saveCalcul | Object saving |
| saveClustering | Clustering saving |
| saveCounts | Count saving |
| saveLogFile | Log file saving |
| saveManualProtos | Manual prototypes saving |
| savePreprocess | Preprocessing exportation |
| saveSummary | Clusters summaries saving |
| search.neighbour | Search neighbour |
| sigClassif | Signals clustering |
| sortCharAsNum | Character vector numeric sorting |
| sortLabel | Clusters labels sorting |
| spectralClustering | Spectral clustering |
| spectralClusteringNg | Spectral clustering |
| spectralEmbeddingNg | Spectral embedding |
| tk2add.notetab | Add notetab. |
| tk2delete.notetab | Delete notetab inside a tk-notebook |
| tk2draw.notetab | Draw in a Notetab. |
| tk2notetab.RclusTool | RclusTool tk2notetab. |
| tkEmptyLine | RclusTool tkEmptyLine. |
| tkrplot.RclusTool | RclusTool tkrplot. |
| tkrreplot.RclusTool | RclusTool tkrreplot. |
| toStringDataFrame | To String Data Frame |
| updateClustersNames | Clusters names updating |
| visualizeSampleClustering | Interactive figure with 2D scatter-plot |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.