Description Usage Arguments Details Value Examples
View source: R/sampleClustering.R
adds a new clustering to an existing set of clusterings (replaces if exists).
1 | addClustering(clustering, new.clustering.name, new.cluster.summary, new.label)
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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 |
addClustering adds a new clustering to an existing set of clusterings (replaces if exists)
updated list of clusterings.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | 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)
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