News

factoextra 1.0.3

NEW FEATURES

• New fviz_mfa function to plot MFA individuals, partial individuals, quantitive variables, categorical variables, groups relationship square and partial axes (@inventionate, #4).

• New fviz_hmfa function to plot HMFA individuals, quantitive variables, categorical variables and groups relationship square (@inventionate, #4).

• New get_mfa and get_hmfa function (@inventionate, #4).

• fviz_ca, fviz_pca, fviz_mca, fviz_mfa and fviz_hmfa ggrepel support (@inventionate, #4).

• Updated fviz_summarize, eigenvalue, fviz_contrib and fviz_cos2 functions, to compute FactoMineR MFA and HMFA results (@inventionate, #4).

• fviz_cluster() added. This function can be used to visualize the outputs of clustering methods including: kmeans() [stats package]; pam(), clara(), fanny() [cluster package]; dbscan() [fpc package]; Mclust() [mclust package]; HCPC() [FactoMineR package]; hkmeans() [factoextra].

• fviz_silhouette() added. Draws the result of cluster silhouette analyses computed using the function silhouette()[cluster package]

• fviz_nbclust(): Dertemines and visualize the optimal number of clusters

• fviz_gap_stat(): Visualize the gap statistic generated by the function clusGap() [in cluster package]

• hcut(): Computes hierarchical clustering and cut the tree into k clusters.

• hkmeans(): Hierarchical k-means clustering. Hybrid approach to avoid the initial random selection of cluster centers.

• get_clust_tendency(): Assessing clustering tendency

• fviz_dend(): Enhanced visualization of dendrogram

• eclust(): Visual enhancement of clustering analysis

• get_dist() and fviz_dist(): Enhanced Distance Matrix Computation and Visualization

• eclust(): Visual enhancement of clustering analysis

MINOR CHANGING

• Require R >= 3.1.0
• A dataset named "multishapes" has been added. It contains clusters of multiple shapes. Useful for comparing density-based clustering and partitioning methods such as k-means
• The argument jitter is added to the functions fviz_pca(), fviz_mca() and fviz_ca() and fviz_cluster() in order to reduce overplotting of points and texts
• The functions fviz_*() now use ggplot2::stat_ellipse() for drawing ellipses.

BUG FIXES

• Unknown parameters "shape" removed from geom_text (@bdboy, #5)

factoextra 1.0.2

NEW FEATURES

• Visualization of Correspondence Analysis outputs from different R packages (FactoMineR, ca, ade4, MASS)

• fviz_ca_row()
• fviz_ca_col()
• fviz_ca_biplot()

• Extract results from CA output

• get_ca_row()
• get_ca_col()
• get_ca()

• Visualize the cos2 and the contributions of rows/columns. The functions can handle the output of PCA, CA and MCA

• fviz_cos2()
• fviz_contrib()

• Sumarize the results of PCA, CA, MCA

• facto_summarize()

DEPRECATED FUNCTION

• fviz_pca_contrib() is dreprecated -> use fviz_contrib()

MINOR CHANGING

• fviz_add: "text" are included in the allowed values for the argument geom
• fviz_screeplot: the X parameter can be also an object of class ca [ca], coa [ade4], correspondence [MASS]
• get_eigenvalue: X parameters and description changed
• get_pca_ind: the argument data are no longer required

factoextra 1.0.1

FEATURES

• Easy to use functions to extract and visualize the output of principal component analysis.

Reference manual