kpeaks (version 1.1.0)

plotpolygon: Plot Frequency Polygons

Description

Plots the frequency polygon and histogram of a feature with some options.

Usage

plotpolygon(x, nbins, ptype, bcol = "gray", pcol = "blue")

Arguments

x

a numeric vector containing the observations of a feature, or a numeric matrix when ptype is sp.

nbins

an integer for the number of classes in the frequency polygon.

bcol

a string for the color of bins. Default is gray.

pcol

a string for the color of polygon lines. Default is blue.

ptype

a string specifying the type of plot. Use p for plotting the polygon only or ph for plotting the polygon with the histogram. Default is sp for the scatterplots between the pairs of features and the polygons on the diagonal panel.

References

Cebeci, Z. & Cebeci, C. (2018). "A novel technique for fast determination of K in partitioning cluster analysis", Journal of Agricultural Informatics, 9(2), 1-11. doi: 10.17700/jai.2018.9.2.442.

Cebeci, Z. & Cebeci, C. (2018). "kpeaks: An R Package for Quick Selection of K for Cluster Analysis", In 2018 International Conference on Artificial Intelligence and Data Processing (IDAP), IEEE. doi: 10.1109/IDAP.2018.8620896.

See Also

genpolygon

Examples

# NOT RUN {
# plot the frequency polygon of the 2nd feature in x5p4c data set
data(x5p4c)
hvals <- genpolygon(x5p4c[,2], binrule="usr", nbins=20)

# plot the frequency polygon of the 2nd feature in x5p4c data set
plotpolygon(x5p4c[,2], nbins=hvals$nbins, ptype="p")

# plot the histogram and frequency polygon of the 2nd feature in x5p4c data set
plotpolygon(x5p4c[,2], nbins=hvals$nbins, ptype="ph", bcol="orange", pcol="blue")

# plot the pairwise scatter plots of the features in x5p4c data set
pairs(x5p4c, diag.panel=plotpolygon, upper.panel=NULL, cex.labels=1.5)

# plot the histogram and frequency polygon of Petal.Width in iris data set 
data(iris)
hvals <- genpolygon(iris$Petal.Width, binrule="doane")
plotpolygon(iris$Petal.Width, nbins=hvals$nbins, ptype="ph")
# }