Multi-Pattern Discovery Framework

canberra.MultiPatternPlugin | Add a set of configurations to a MultiPattern object |

checkArgClass | check that an object is of the epected class, or stop |

checkNotNull | check that object x is not null, or stop |

dbscan.MultiPatternPlugin | Add a set of configurations to a MultiPattern object |

dist.canberra | Canberra distance |

dist.clust | Distance that incorporates weights from a clustering (hclust... |

dist.correlation | Compute dissimilarity using correlation |

dist.dbscan | Distance that incorporates weights from a dbscan clustering |

dist.euclidean | Euclidean distance |

dist.hamming | Hamming distance |

dist.log2euclidean | Euclidean distance of log2 transformed values |

dist.manhattan | Manhattan distance |

dist.pc1 | Distance using 1st principal component from PCA |

dist.pearson | Compute distance using pearson correlation r |

dist.spearman | Compute distance using spearman rho |

euclidean.MultiPatternPlugin | Add a set of configurations to a MultiPattern object |

hamming.MultiPatternPlugin | Add a set of configurations to a MultiPattern object |

hclust.MultiPatternPlugin | Add a set of configurations to a MultiPattern object |

ica.MultiPatternPlugin | Add a set of configurations to a MultiPattern object |

manhattan.MultiPatternPlugin | Add a set of configurations to a MultiPattern object |

MPaddConfig | Add one or more cluster configurations into a MultiPattern... |

MPaddData | Add a dataset into a MultiPattern configuration object |

MPchangeSettings | Change settings encoded in a MultiPattern object |

MPcutree | Provides a cut of hclust into k clusters |

MPdata1L | Toy dataset with one group (large) |

MPdata1M | Toy dataset with one group (medium) |

MPdata1S | Toy dataset with one group (small) |

MPdata2L | Toy dataset with two groups (large) |

MPdata2M | Toy dataset with two groups (medium) |

MPdata2S | Toy dataset with two groups (small) |

MPdata3L | Toy dataset with three groups (large) |

MPdata3M | Toy dataset with three groups (medium) |

MPdata3S | Toy dataset with three groups (small) |

MPdata4L | Toy dataset with four groups (large) |

MPdata4M | Toy dataset with four groups (medium) |

MPdata4S | Toy dataset with four groups (small) |

MPdata6L | Toy dataset with six groups (large) |

MPdata6M | Toy dataset with six groups (medium) |

MPdata6S | Toy dataset with six groups (small) |

MPdata9L | Toy dataset with nine groups (large) |

MPdata9M | Toy dataset with nine groups (medium) |

MPdata9S | Toy dataset with nine groups (small) |

MPdefaultSettings | Summary of default settings for new MultiPattern objects |

MPdistFactory | Generates a function with syntax f(x) that returns a dist... |

MPdistImpute | Impute values for NAs in a dist object |

MPeasyConfig | Add predefined configuration types to a MultiPattern... |

MPgetAll2Subspaces | obtain a list of all pairs from a set |

MPgetAverageMetaDistance | Compute a meta distance object from an MP object. Uses... |

MPgetDistances | Run MultiPattern analysis. |

MPgetMap | Create a map for a distance object/matrix |

MPgetMetaDistance | Compare MultiPattern similarity matrices |

MPgetRandomSubspaces | Produce a list of randomly selected feature sets |

MPgetRepresentatives | Identify representative points from a distance object |

MPimputeNAs | Impute values for NAs in a matrix or other object |

MPlistPlugins | Get of MultiPattern plugins available |

MPmakePrepFunction | Create a function for preprocessing a dataset before... |

MPmatrixColNorm | Normalize a matrix column-wise by median shift and division... |

MPnew | Create a basic MP object |

MPPartitionFeatures | Partition features in a data matrix into categories like... |

MPplotmap | Custom function to draw mds maps. Uses Rcssplot and some hard... |

MPplotScatterWithK | plot a 2D scatter diagram with clusters in various style |

MPplotScatterWithLinks | plot a 2D scatter diagram with clusters in various style |

MPrandomizeMatrix | Permute values in a matrix |

MPrankNeighbors | Compute non-parametric neighborhoods of data elements using... |

MPremove | Remove data or configuration components from a MultiPattern... |

MPsquarelim | Create equal size xlim and ylim intervals from x,y values |

MPsuggestConfig | Suggest a set of clustering analyses for a dataset |

MPsuggestTopFeatures | Make a suggestion for interesting features in a dataset based... |

nmf.MultiPatternPlugin | Add a set of configurations to a MultiPattern object |

pam.MultiPatternPlugin | Add a set of configurations to a MultiPattern object |

pca.ica.helper | helper function to fastica and pca plugins; first few... |

pca.MultiPatternPlugin | Add a set of configurations to a MultiPattern object |

pearson.MultiPatternPlugin | Add a set of configurations to a MultiPattern object |

print.MultiPattern | Print a summary of a MP configuration object |

print.MultiPatternSettings | Print a summary of a MP distances objects |

print.MultiPatternSimilarities | Print a summary of a MP distances objects |

rpca.MultiPatternPlugin | Add a set of configurations to a MultiPattern object |

spearman.MultiPatternPlugin | Add a set of configurations to a MultiPattern object |

subspace1.MultiPatternPlugin | Add a set of configurations to a MultiPattern object |

subspace2.MultiPatternPlugin | Add a set of configurations to a MultiPattern object |

subspacer.MultiPatternPlugin | Add a set of configurations to a MultiPattern object |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.