博客
关于我
强烈建议你试试无所不能的chatGPT,快点击我
ggplot2 easyplot②
阅读量:5751 次
发布时间:2019-06-18

本文共 5318 字,大约阅读时间需要 17 分钟。

  • 根据组更改条形图颜色

可以将颜色指定为十六进制RGB三元组,例如“#FFCC00”或名称。还可以使用其他颜色比例,例如从RColorBrewer包中提取的颜色比例。 这里已经详细描述了R中可用的不同颜色系统。

要根据组更改条形图颜色,必须使用参数groupName指定包含组的数据列的名称。 使用参数groupColors,通过十六进制代码或名称指定颜色。 在这种情况下,groupColors的长度应该与组的数量相同。 使用参brewerPalette,使用RColorBrewerpalette指定颜色。

# Color the stripchart accoording to the groupName "dose"ggplot2.stripchart(data=df, xName='dose',yName='len',        groupName='dose')# Change group colors using hexadecimal colorsggplot2.stripchart(data=df, xName='dose',yName='len',        groupName='dose',        groupColors=c('#999999','#E69F00','#56B4E9'))# Change group colors using brewer palette: "Paired"ggplot2.stripchart(data=df, xName='dose',yName='len',        groupName='dose',brewerPalette="Paired")# Change group colors using color namesggplot2.stripchart(data=df, xName='dose',yName='len',      groupName='dose',      groupColors=c('aquamarine3','chartreuse1','goldenrod1'))
img_aa06d5493c4cf33ac23589ed262b9c2d.png
  • 标注/位置
# Change the legend position to "top"   # (possible values: "left","top", "right", "bottom")ggplot2.stripchart(data=df, xName='dose',yName='len',        groupName='dose', legendPosition="top")# legendPosition can be also a numeric vector c(x, y)ggplot2.stripchart(data=df, xName='dose',yName='len',        groupName='dose', legendPosition=c(0.8,0.2))
img_09ecac4681fe89b395c479b409cc58f5.png
  • 标注背景边框
# Change legend background color, title and text font stylesggplot2.stripchart(data=df, xName='dose',yName='len',    groupName='dose',    #legendTitleFont=c(size, style, color)    legendTitle="Dose (mg)", legendTitleFont=c(10, "bold", "blue"),    #legendTextFont=c(size, style, color)    legendTextFont=c(10, "bold.italic", "red"),    #legendBackground: c(fill, lineSize, lineType, lineColor)    legendBackground=c("lightblue", 0.5, "solid", "darkblue" )    )
img_fc54fe6ff44d826a830e0359bf6fcf9d.png
  • 隐藏标注
# Change the order of items in the legend # legendItemOrder : character vector indicating # the order of items in the legends.ggplot2.stripchart(data=df, xName='dose',yName='len',            groupName='dose',            legendItemOrder=c("2", "1", "0.5"))# Remove plot legendggplot2.stripchart(data=df, xName='dose',yName='len',              groupName='dose', showLegend=FALSE)
img_c03ae486e86b6b57253b782f60df4f99.png
  • 坐标轴
# Change y axis limitggplot2.stripchart(data=df, xName='dose',yName='len',                groupName='dose', ylim=c(0,50))# y Log scale. yScale="log2". # Possible value="none", "log2" and "log10"ggplot2.stripchart(data=df, xName='dose',yName='len',              groupName='dose', yScale="log2")
img_2a676adbe7563785fb04f952e9ef0917.png
# Customized stripchartggplot2.stripchart(data=df, xName='dose',yName='len',    groupName='dose',    groupColors=c('#999999','#E69F00','#56B4E9'), showLegend=FALSE,    backgroundColor="white", xtitle="Dose (mg)", ytitle="length",     mainTitle="Plot of length \n by dose")# Customized stripchart with notched box plot# Remove grid; Remove Top and right border around the plotggplot2.stripchart(data=df, xName='dose',yName='len',    groupName='dose',    groupColors=c('#999999','#E69F00','#56B4E9'), showLegend=FALSE,    backgroundColor="white", xtitle="Dose (mg)", ytitle="length",     mainTitle="Plot of length \n by dose",    addBoxplot=TRUE, notch=TRUE,    removePanelGrid=TRUE,removePanelBorder=TRUE,    axisLine=c(0.5, "solid", "black"))# Customized stripchart, change point color, # fill box plot accoording to the groups#Change the color of points to "black"ggplot2.stripchart(data=df, xName='dose',yName='len',    groupName='dose',    groupColors=c('#999999','#E69F00','#56B4E9'), showLegend=FALSE,    backgroundColor="white", xtitle="Dose (mg)", ytitle="length",     mainTitle="Plot of length \n by dose",    addBoxplot=TRUE, boxplotFill=NULL, notch=TRUE, colour="black")
img_c6a86677c36f4a64d82c23bfd928eb2b.png
# Customized stripchart, add box plot, pink fill color.# Change the color of points to "black"ggplot2.stripchart(data=df, xName='dose',yName='len',    groupName='dose',    groupColors=c('#999999','#E69F00','#56B4E9'), showLegend=FALSE,    backgroundColor="white", xtitle="Dose (mg)", ytitle="length",     mainTitle="Plot of length \n by dose",    addBoxplot=TRUE, boxplotFill="pink", colour="black")# Customized stripchart, add box plot, #fill box plot accoording to the groups.ggplot2.stripchart(data=df, xName='dose',yName='len',    groupName='dose',    groupColors=c('#999999','#E69F00','#56B4E9'),    showLegend=FALSE,    backgroundColor="white", xtitle="Dose (mg)", ytitle="length",     mainTitle="Plot of length \n by dose",    addBoxplot=TRUE, boxplotFill=NULL, colour="black")
# plot of variable 'len' by xName 'dose'. The plot is colored by the groupName 'supp'# position = interval between dot plot of the same groupggplot2.stripchart(data=df, xName='dose',yName='len',      groupName='supp',       position=position_jitter(0.2),       backgroundColor="white",       groupColors=c('#999999','#E69F00'))   # Change the interval between stripchart of the same group:  # position = interval between dot plot of the same groupggplot2.stripchart(data=df, xName='dose',yName='len',      groupName='supp',       position=position_dodge(0.8),       backgroundColor="white", groupColors=c('#999999','#E69F00'))# Change the interval between stripchart of the same group#position=position_dodge(0.8), add box plotggplot2.stripchart(data=df, xName='dose',yName='len',      groupName='supp',       position=position_dodge(0.8),       backgroundColor="white", groupColors=c('#999999','#E69F00'),      addBoxplot=TRUE, boxplotFill="white")
img_863e9c1eaf1169aeb5bb496effad8a89.png

转载地址:http://cnukx.baihongyu.com/

你可能感兴趣的文章
MySQL类型转换
查看>>
c#获取QQ音乐当前播放的歌曲名
查看>>
JDK,JRE,JVM,三者,你知道它们的关系么
查看>>
Elixir安装
查看>>
HashSet HashMap 源码阅读笔记
查看>>
变量声明提升1
查看>>
汉诺塔
查看>>
powershell,power shell!
查看>>
gcc
查看>>
Ajax中Get请求与Post请求的区别
查看>>
选择文件进行上传
查看>>
欧几里德算法求最大公约数
查看>>
Ceph的集群全部换IP
查看>>
STL容器的使用
查看>>
Tensorflow笔记_神经网络优化
查看>>
as3 air 保存文本内容的换行
查看>>
一图搞定软件研发之需求管理
查看>>
UML图的一些自我理解
查看>>
python怎样安装whl文件
查看>>
点估计及矩估计的一些理解
查看>>