在R语言中构造柱状图用barplot()函数,具体请见下例: AI检测代码解析 #barplot()的第一个参数也是用到的数据。这里是education列表里列标题为spending的数据 #names.arg相当于每条数据对应的x值。这个vector对应每一年的spending #ylab是y轴标题;main是图的标题;ylim是y轴的范围 #width调整每个柱的宽度;space调整柱...
AI代码解释 >head(diamonds)#Atibble:6x10carat cut color clarity depth table price x y z<dbl><ord><ord><ord><dbl><dbl><int><dbl><dbl><dbl>10.23IdealESI261.5553263.953.982.4320.21PremiumESI159.8613263.893.842.3130.23GoodEVS156.9653274.054.072.3140.290PremiumIVS262.4583344.24.232.6350.31GoodJSI263.3583...
Once more, there is not much to do to switch to a percent stacked barplot. Just switch to position="fill". Now, the percentage of each subgroup is represented, allowing to study the evolution of their proportion in the whole. # library library(ggplot2) # create a dataset specie <- c...
fill="uempmed")) + labs(title="Area Chart of Returns Percentage", subtitle="From W...
在R绘图设备中,每一个不同的图都有一个独特的函数比如boxplot(),hist(),barplot()等;然而在qplot()函数中,用geom参数取不同的值即可画不同的图,而geom_+图形对象名即可绘制不同的图。结合Rstudio开发环境下的参数提示、函数提示和自动补全功能,再也不用担心复杂的参数和函数记忆问题了。 4.我觉得最重要的...
https://stackoverflow.com/questions/45469147/ggplot2-update-stacked-barplot-with-percentage-labels https://www.r-graph-gallery.com/48-grouped-barplot-with-ggplot2/
然后画出这两组数的barplot: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 library(ggplot2) theme_set(theme_bw()) p <- ggplot() + geom_bar(data1, mapping = aes(x = 0.8, y = cell1, fill = type), color = "gray", stat = 'identity', width = 0.4) + geom_bar(data2, mapp...
#stacked barplot """ product year export percentage sum copper 2006 4176 79 5255 copper 2007 8560 81 10505 copper 2008 6473 76 8519 copper 2009 10465 80 13027 copper 2010 14977 86 17325 copper 2011 15421 83 18629 copper 2012 14805 82 18079 copper 2013 15183 80 19088 copper...
Now, the percentage of each subgroup is represented, allowing to study the evolution of their proportion in the whole. # library
然后画出这两组数的barplot: library(ggplot2) theme_set(theme_bw()) p <- ggplot() + geom_bar(data1, mapping = aes(x = 0.8, y = cell1, fill = type), color = "gray", stat = 'identity', width = 0.4) + geom_bar(data2, mapping = aes(x = 0.5, y = cell2, fill = type...