saveSummary: Clusters summaries saving

In RclusTool: Graphical Toolbox for Clustering and Classification of Data Frames

Clusters summaries saving

Description

Save clusters summaries results in a csv file.

Usage

saveSummary(filename.csv, cluster.summary, dir, info = NULL)

Arguments

filename.csv	character vector specifying the path and the name of the csv file.
cluster.summary	data.frame containing the clusters summaries results.
dir	character vector specifying the directory where to save the csv file.
info	character vector about sample or clustering.

Details

saveSummary saves clusters summaries results in a csv file

Value

csv file containing clusters summaries results.

See Also

loadSummary

Examples

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))
colnames(dat) <- c("x","y")
tf1 <- tempfile()
write.table(dat, tf1, sep=",", dec=".")

x <- importSample(file.features=tf1)
res <- KmeansQuick(x$features$initial$x, K=3)
labels <- formatLabelSample(res$cluster, x)
cluster.summary <- clusterSummary(x, labels)

tf2 <- tempfile()
saveSummary(basename(tf2), cluster.summary, dirname(tf2))

RclusTool documentation built on Aug. 29, 2022, 9:07 a.m.