| cal.eigen.fit | (Internal function) Calculae a vector of EigenFit values,... |
| check.stopping | (Internal function) Check whether the IPCAPS2 process meets... |
| clustering | (Internal function) Perform the clustering process of IPCAPS2 |
| clustering.mode | (Internal function) Select a clustering method to be used for... |
| diff.eigen.fit | (Internal function) Calculate a vector of different values... |
| diff.xy | (Internal function) Check the different value of X and Y,... |
| do.glm | (Internal function) Perform regression models, internally... |
| export.groups | Export the IPCAPS2 result to a text file |
| get.node.info | Get the information for specified node |
| heatmap.ipcaps | Plot heatmap from the result of IPCAPS |
| ipcaps2 | Perform unsupervised clustering to capture population... |
| IPCAPS2-package | IPCAPS2 : Iterative Pruning to CApture Population Structure |
| label | Synthetic dataset containing population labels for the... |
| output.template | (Internal object) The HTML output template for IPCAPS2 |
| pasre.categorical.data | (Internal function) Manipulate categorical input files |
| PC | Synthetic dataset containing the top 10 principal components... |
| plot3views.ipcaps | Plot 3 views from the result of IPCAPS |
| postprocess | (Internal function) Perform the post-processing step of... |
| preprocess | (Internal function) Perform the pre-processing step of... |
| process.each.node | (Internal function) Perform the iterative process for each... |
| raw.data | Synthetic dataset containing single nucleotide polymorphisms... |
| replace.missing | (Internal function) Replace missing values by specified... |
| save.eigenplots.html | Generate HTML file for EigenFit plots |
| save.html | Generate HTML file for clustering result in text mode |
| save.plots | Workflow to generate HTML files for all kinds of plots |
| save.plots.cluster.html | Generate HTML file for scatter plots which all data points... |
| save.plots.label.html | Generate HTML file for scatter plots which data points are... |
| top.discriminator | Detecting top discriminators between two groups |
