Last data update: 2014.03.03

R: Plots a tile plot with facets
ggally_denstripR Documentation

Plots a tile plot with facets

Description

Make Tile Plot as densely as possible.

Usage

ggally_denstrip(data, mapping, ...)

Arguments

data

data set using

mapping

aesthetics being used

...

other arguments being sent to stat_bin

Author(s)

Barret Schloerke schloerke@gmail.com

Examples

 data(tips, package = "reshape")
 ggally_denstrip(tips, mapping = ggplot2::aes(x = total_bill, y = sex))
 ggally_denstrip(tips, mapping = ggplot2::aes_string(x = "total_bill", y = "sex"))
 ggally_denstrip(
   tips,
   mapping = ggplot2::aes_string(x = "sex", y = "tip", binwidth = "0.2")
 ) + ggplot2::scale_fill_gradient(low = "grey80", high = "black")

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.
You are welcome to redistribute it under certain conditions.
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(GGally)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/GGally/ggally_denstrip.Rd_%03d_medium.png", width=480, height=480)
> ### Name: ggally_denstrip
> ### Title: Plots a tile plot with facets
> ### Aliases: ggally_denstrip
> ### Keywords: hplot
> 
> ### ** Examples
> 
>  data(tips, package = "reshape")
>  ggally_denstrip(tips, mapping = ggplot2::aes(x = total_bill, y = sex))
`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
>  ggally_denstrip(tips, mapping = ggplot2::aes_string(x = "total_bill", y = "sex"))
`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
>  ggally_denstrip(
+    tips,
+    mapping = ggplot2::aes_string(x = "sex", y = "tip", binwidth = "0.2")
+  ) + ggplot2::scale_fill_gradient(low = "grey80", high = "black")
`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>