dtwclustdtwclust-class objects.
"show"(object)
"update"(object, ..., evaluate = TRUE)
"predict"(object, newdata = NULL, ...)
"plot"(x, y, ..., clus = seq_len(x@k), labs.arg = NULL, data = NULL, time = NULL, plot = TRUE, type = NULL, show.centroids = TRUE)dtwclust-class as returned by dtwclust.geom_line for the plotting of the
cluster centers, or to plot.hclust. See details.TRUE and evaluates the updated call, which will result in
a new dtwclust object. Otherwise, it returns the unevaluated call.dtwclust.labs for more
informationdtwclust.FALSE in case you want to save the ggplot object without
printing anything to screenNULL means default. See details.gg object (or NULL for dendrogram plot) invisibly.
flexclust package are: randIndex and
clusterSim.Show method displays basic information from the clustering results.
The update method takes the original function call, replaces any provided argument and optionally
evaluates the call again. Use evaluate = FALSE if you want to get the
unevaluated call.
The predict generic can take the usual newdata argument and it returns the cluster(s) to which
the data belongs; if NULL, it simply returns the obtained cluster indices. It preprocesses
the data with the corresponding function if available.
The plot method uses the ggplot2 plotting system (see ggplot).
The default depends on whether a hierarchical method was used or not. In those cases, the dendrogram is
plotted by default; you can pass any extra parameters to plot.hclust via ....
Otherwise, the function plots the time series of each cluster along with the obtained centroid.
The default values for cluster centroids are: linetype = "dashed", size = 1.5,
colour = "black", alpha = 0.5. You can change this by means of ....
You can choose what to plot with the type parameter. Possible options are:
"dendrogram": Only available for hierarchical clustering.
"series": Plot the time series divided into clusters without including centroids.
"centroids": Plot the obtained centroids only.
"sc": Plot both series and centroids
The flag save.data should be set to TRUE when running dtwclust to be able to
use this. Optionally, you can manually provide the data in the data parameter.
If created, the function returns the gg object invisibly, in case you want to modify it to your
liking. You might want to look at ggplot_build if that's the case.
dtwclust-class, dtwclust, ggplot