dtwclustdtwclust-class objects.## S3 method for class 'dtwclust':
show(object)## S3 method for class 'dtwclust':
update(object, ..., evaluate = TRUE)
## S3 method for class 'dtwclust':
predict(object, newdata = NULL, ...)
## S3 method for class 'dtwclust,missing':
plot(x, y, ..., clus = seq_len(x@k),
labs.arg = NULL, show.centroids = TRUE, data = NULL, time = NULL,
plot = TRUE, type = "dendrogram")
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 screengg object (or NULL for hierarchical methods) 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, by default, plots the time series of each cluster along with the obtained centroid.
It uses ggplot2 plotting system (see ggplot). The default values for
cluster centers are: linetype = "dashed", size = 1.5, colour = "black",
alpha = 0.5. You can change this by means of ....
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.
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.
If a hierarchical procedure was used, then you can specify type = "dendrogram" to
plot the corresponding dendrogram (the default in this case), and pass any extra parameters via ....
Use type = "series" to plot the time series clusters using the original call's k.
dtwclust-class, dtwclust, ggplot