loading...

All functions

as.dissimilarity() as_dissimilarity()

Convert a dist or matrix object into a Dissimilarity object

ca() autoplot(<ca>) chart(<ca>)

Correspondence Analysis (CA)

circle()

Draw circles in a plot

cluster() str(<Cluster>) labels(<Cluster>) nobs(<Cluster>) predict(<Cluster>) augment(<Cluster>) plot(<Cluster>) autoplot(<Cluster>) chart(<Cluster>)

Hierarchical Clustering Analysis

dissimilarity() print(<Dissimilarity>) labels(<Dissimilarity>) nobs(<Dissimilarity>) autoplot(<Dissimilarity>) chart(<Dissimilarity>)

Calculate a dissimilarity matrix

exploreit-package

Exploratory Data Analysis for 'SciViews::R'

geom_dendroline()

Draw a line to cut a dendrogram

k_means() profile_k() augment(<kmeans>) predict(<k_means>) plot(<k_means>) autoplot(<k_means>) chart(<k_means>)

K-means clustering

mds() plot(<mds>) autoplot(<mds>) chart(<mds>) shepard() plot(<shepard>) autoplot(<shepard>) chart(<shepard>) augment(<mds>) glance(<mds>)

Multidimensional scaling or principal coordinates analysis

mfa() autoplot(<MFA>) chart(<MFA>)

Multiple Factor Analysis (MFA)

pca() autoplot(<pcomp>) chart(<pcomp>) augment(<princomp>) tidy(<princomp>) as.prcomp()

Principal Component Analysis (PCA)

scale(<data.frame>) scale(<tbl_df>) scale(<data.table>)

Scale a data frame (data.frame, data.table or tibble's tbl_df)