loadSummary: Summaries loading

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

Summaries loading

Description

Load the clusters summaries results (min, max, sum, average, sd) from a csv file.

Usage

loadSummary(filename.csv)

Arguments

filename.csv

character vector specifying the name and directory of the csv file.

Details

loadSummary loads the clusters summaries results (min, max, sum, average, sd) from a csv file

Value

res data.frame containing the clusters summaries.

See Also

saveSummary

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))

loadSummary(tf2)
 

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