RclusTool (version 0.91)

addClustering: Clustering addition

Description

adds a new clustering to an existing set of clusterings (replaces if exists).

Usage

addClustering(clustering, new.clustering.name, new.cluster.summary,
  new.label)

Arguments

clustering

list containing a set of clustering results.

new.clustering.name

string naming the clustering to add.

new.cluster.summary

summary object containing statistics about the new clustering.

new.label

vector of labels

Value

updated list of clusterings.

Details

addClustering adds a new clustering to an existing set of clusterings (replaces if exists)

Examples

# NOT RUN {
dat <- rbind(matrix(rnorm(100, mean = 0, sd = 0.3), ncol = 2), 
             matrix(rnorm(100, mean = 2, sd = 0.3), ncol = 2), 
             matrix(rnorm(100, mean = 4, sd = 0.3), ncol = 2))

tf1 <- tempfile()
write.table(dat, tf1, sep=",", dec=".")

x <- importSample(file.features=tf1, dir.save=tempdir())

res_new <- KmeansQuick(x$features$initial$x, K=3)
labels_new <- formatLabelSample(res_new$cluster, x)
cluster.summary.new <- clusterSummary(x, labels_new)

x$clustering <- addClustering(clustering=x$clustering, new.clustering.name='clusterin_test', 
                              new.cluster.summary=cluster.summary.new, new.label=labels_new)
 

# }