RclusTool (version 0.91.3)

abdPlot: 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.

Value

None

Details

abdPlot displays the abundances barplot of a clustering.

Examples

# NOT RUN {
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, dir.save=tempdir())

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

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

# }