abdPlot: Abundances barplot

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

Abundances barplot

Description

Display the abundances barplot of a clustering.

Usage

abdPlot(
  label,
  title,
  charsize = 11,
  point.param = c("grey", "black", "red", "blue", "green", "cyan", "yellow", "orange",
    "rosybrown", "palevioletred", "darkblue", "deeppink", "blueviolet", "darkgoldenrod1",
    "chartreuse", "darkorchid1", "deeppink", "coral", "darkolivegreen1", "#66C2A5",
    "#9DAE8C", "#D49A73", "#F08F6D", "#C79693", "#9E9DBA", "#9F9BC9", "#C193C6",
    "#E28BC3", "#D2A29F", "#BABF77", "#AAD852", "#CBD844", "#ECD836", "#FAD53E",
    "#F1CD64", "#E7C689", "#D7BF9C", "#C5B9A7", "#B3B3B3", "#D53E4F", "#E04F4A",
    "#EB6046", "#F47346", "#F88B51", 
     "#FBA35C", "#FDB869", "#FDCA79", "#FDDD88",
    "#F6E68F", "#EDEE93", "#E2F398", "#CDEA9D", "#B7E2A1", "#A0D8A4", "#86CEA4",
    "#6DC4A4", "#58B2AB", "#459DB4", "#3288BD")
)

Arguments

label	factor describing the clustering.
title	naming the graph.
charsize	character size
point.param	specifying the colors and the symbols to use for clusters display.

Details

abdPlot displays the abundances barplot of a clustering.

Value

None

Examples

dat <- rbind(matrix(rnorm(100, mean = 2, sd = 0.3), ncol = 2), 
             matrix(rnorm(100, mean = 4, sd = 0.3), ncol = 2), 
             matrix(rnorm(100, mean = 6, sd = 0.3), ncol = 2))
colnames(dat) <- c("x","y")
tf <- tempfile()
write.table(dat, tf, sep=",", dec=".")

x <- importSample(file.features=tf)

x <- computeUnSupervised(x, K=3, method.name='K-means')

abdPlot(x[["clustering"]][["K-means_preprocessed"]][["label"]], 'K-means_preprocessed')

RclusTool documentation built on May 29, 2024, 5:23 a.m.