网站建设新趋势,企业服务账号怎么查询,深圳宝安区网站建设,直接进网站的浏览器打开代码大部分来自boxplot()函数的帮助文件#xff0c;可以通过阅读帮助文件#xff0c;调整代码中相应参数看下效果#xff0c;进而可以理解相应的作用#xff0c;帮助快速掌握barplot()函数的用法。 语法
Usage(来自帮助文件)
barplot(height, ...)## Default S3 method:
… 代码大部分来自boxplot()函数的帮助文件可以通过阅读帮助文件调整代码中相应参数看下效果进而可以理解相应的作用帮助快速掌握barplot()函数的用法。 语法
Usage(来自帮助文件)
barplot(height, ...)## Default S3 method:
barplot(height, width 1, space NULL,names.arg NULL, legend.text NULL, beside FALSE,horiz FALSE, density NULL, angle 45,col NULL, border par(fg),main NULL, sub NULL, xlab NULL, ylab NULL,xlim NULL, ylim NULL, xpd TRUE, log ,axes TRUE, axisnames TRUE,cex.axis par(cex.axis), cex.names par(cex.axis),inside TRUE, plot TRUE, axis.lty 0, offset 0,add FALSE, ann !add par(ann), args.legend NULL, ...)## S3 method for class formula
barplot(formula, data, subset, na.action,horiz FALSE, xlab NULL, ylab NULL, ...) 可以从上述barplot()函数的帮助文件中看到这个函数用法可以分为两类。
箱线图
该实例为heigh是一个矩阵。
rand.data - replicate(8, rnorm(100, 100, sd 1.5) ) #生成数据 100 X 8
boxplot(rand.data) #绘制箱线图 分类变量的箱线图
data(mtcars)
mtcars$cyl.f - factor(mtcars$cyl, levels c(4,6,8),labels c(4, 6, 8))# 创建气缸数量的因子
mtcars$am.f - factor(mtcars$am, levelsc(0,1), labelsc(auto, standard)) #创建变速箱类型的因子boxplot(mpg~ am.f * cyl.f, data mtcars,varwidth TRUE, colc(gold, darkgreen),main MPG Distribution by Auto Type,xlabAuto Type,ylabMiles Per Gallon) #绘制箱线图barplot(VADeaths, beside TRUE,col c(lightblue, mistyrose, lightcyan,lavender, cornsilk),legend.text rownames(VADeaths), ylim c(0, 100))title(main Death Rates in Virginia, font.main 4) require(grDevices)hh - t(VADeaths)[, 5:1]mybarcol - gray20mp - barplot(hh, beside TRUE,col c(lightblue, mistyrose,lightcyan, lavender),legend.text colnames(VADeaths), ylim c(0,100),main Death Rates in Virginia, font.main 4,sub Faked upper 2*sigma error bars, col.sub mybarcol,cex.names 1.5)VADeathsRural Male Rural Female Urban Male Urban Female
50-54 11.7 8.7 15.4 8.4
55-59 18.1 11.7 24.3 13.6
60-64 26.9 20.3 37.0 19.3
65-69 41.0 30.9 54.6 35.1
70-74 66.0 54.3 71.1 50.0 segments(mp, hh, mp, hh 2*sqrt(1000*hh/100), col mybarcol, lwd 1.5)stopifnot(dim(mp) dim(hh)) # corresponding matricesmtext(side 1, at colMeans(mp), line -2,text paste(Mean, formatC(colMeans(hh))), col red) barplot(VADeaths, angle 1510*1:5, density 20, col black,legend.text rownames(VADeaths))title(main list(Death Rates in Virginia, font 4)) # Border colorbarplot(VADeaths, border dark blue) # Formula methodbarplot(GNP ~ Year, data longley)barplot(cbind(Employed, Unemployed) ~ Year, data longley) barplot(Freq ~ Class Survived, data d.Titanic,subset Age Adult Sex Male,main barplot(Freq ~ Class Survived, *), ylab # {passengers}, legend.text TRUE) # Alternatively, a mosaic plot :mosaicplot(xt[,,Male], main mosaicplot(Freq ~ Class Survived, *), colorTRUE)par(op) # Default methodrequire(grDevices) # for colourstN - table(Ni - stats::rpois(100, lambda 5))r - barplot(tN, col rainbow(20))#- type h plotting *is* barplotlines(r, tN, type h, col red, lwd 2) barplot(tN, col heat.colors(12), log y) barplot(tN, col gray.colors(20), log xy) barplot(height cbind(x c(465, 91) / 465 * 100,y c(840, 200) / 840 * 100,z c(37, 17) / 37 * 100),beside FALSE,width c(465, 840, 37),col c(1, 2),legend.text c(A, B),args.legend list(x topleft)) barplot(tN, space 1.5, axisnames FALSE,sub barplot(..., space 1.5, axisnames FALSE)) barplot(VADeaths, plot FALSE)
[1] 0.7 1.9 3.1 4.3barplot(VADeaths, plot FALSE, beside TRUE)[,1] [,2] [,3] [,4]
[1,] 1.5 7.5 13.5 19.5
[2,] 2.5 8.5 14.5 20.5
[3,] 3.5 9.5 15.5 21.5
[4,] 4.5 10.5 16.5 22.5
[5,] 5.5 11.5 17.5 23.5
mp - barplot(VADeaths) # default tot - colMeans(VADeaths)totRural Male Rural Female Urban Male Urban Female 32.74 25.18 40.48 25.28 text(mp, tot 3, format(tot), xpd TRUE, col blue) 参考
《R语言实战》第2版2016年5月出版人民邮电出版社
帮助文件
