Last data update: 2014.03.03

R: Compute density of a scatterplot
kde2dplotR Documentation

Compute density of a scatterplot

Description

A 2d density is computed by kde2D.

Usage

kde2dplot(x,y,grid=50, ncol=30,nlevels=10,main="")

Arguments

x

x coordinate of data

y

y coordinate of data

grid

Number of grid points in each direction

ncol

number of colors

nlevels

number of contour levels desired if levels is not supplied

main

head of plot

Author(s)

Benedikt Zacher zacher@lmb.uni-muenchen.de

See Also

kde2d

Examples

##
points = 10^4
x <- rnorm(points/2)
x = c(x,x+2.5)
y <- x + rnorm(points,sd=0.8)
x = sign(x)*abs(x)^1.3
kde2dplot(x,y,main="Density Estimation")

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
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Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(Starr)
Loading required package: Ringo
Loading required package: Biobase
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, cbind, colnames, do.call, duplicated, eval, evalq,
    get, grep, grepl, intersect, is.unsorted, lapply, lengths, mapply,
    match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank,
    rbind, rownames, sapply, setdiff, sort, table, tapply, union,
    unique, unsplit

Welcome to Bioconductor

    Vignettes contain introductory material; view with
    'browseVignettes()'. To cite Bioconductor, see
    'citation("Biobase")', and for packages 'citation("pkgname")'.

Loading required package: RColorBrewer
Loading required package: limma

Attaching package: 'limma'

The following object is masked from 'package:BiocGenerics':

    plotMA

Loading required package: Matrix
Loading required package: grid
Loading required package: lattice
Loading required package: affy

Attaching package: 'affy'

The following object is masked from 'package:Ringo':

    probes

Loading required package: affxparser

Attaching package: 'Starr'

The following object is masked from 'package:affy':

    plotDensity

The following object is masked from 'package:limma':

    plotMA

The following object is masked from 'package:BiocGenerics':

    plotMA

> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/Starr/kde2dplot.Rd_%03d_medium.png", width=480, height=480)
> ### Name: kde2dplot
> ### Title: Compute density of a scatterplot
> ### Aliases: kde2dplot
> ### Keywords: internal
> 
> ### ** Examples
> 
> ##
> points = 10^4
> x <- rnorm(points/2)
> x = c(x,x+2.5)
> y <- x + rnorm(points,sd=0.8)
> x = sign(x)*abs(x)^1.3
> kde2dplot(x,y,main="Density Estimation")
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>