in thegeom_bar()call,position="dodge"must be specified to have the bars one beside each other. # librarylibrary(ggplot2)# create a datasetspecie<-c(rep("sorgho",3) ,rep("poacee",3) ,rep("banana",3) ,rep("triticum",3) )condition<-rep(c("normal","stress","Nitrogen") ,4)value...
in thegeom_bar()call,position="dodge"must be specified to have the bars one beside each other. # librarylibrary(ggplot2)# create a datasetspecie<-c(rep("sorgho",3) ,rep("poacee",3) ,rep("banana",3) ,rep("triticum",3) )condition<-rep(c("normal","stress","Nitrogen") ,4)value...
Stacked Bar Graph Labels with ggplot2 Adding labels to ggplot bar chart What I did wrong initially, was pass theposition = "fill"parameter togeom_bar(), which for some reason made all the bars have the same height! r ggplot2 Share ...
Bars appear for H1,H2, but not for the Periods. The numerical values appear for the periods, but they are not correct. r ggplot2 Share Improve this question Follow edited Oct 31, 2015 at 20:43 Laura Wiley 23322 silver badges66 bronze badges asked Oct 30, 2015 at 5:25 datadan ...
以下是使用包中的dotPlot函数制作的,BHH2但没有ggplot2. plotrstackedggplot2 Viv*_*mar 2012 10-13 2 推荐指数 1 解决办法 1436 查看次数 Highcharts堆积条形负/正总数 我有一个像这样的堆积条形图:http://jsfiddle.net/XFX5T/ 我想知道是否可以将负+正值的总和作为堆叠标签. ...
This is different to existing questions. Other answers pointed to refer to moving entire bars according to a specified order. I would like to sort the resulting bars according to one element within the stacked bars. I've created a stacked bar plot in R. This is the data set: ...
2 You can calculate a per-location cumulative sum on y and place the errorbars there. (I'll show with dplyr, but this can be done fairly easily with base R if needed.) mutate(df, .by = location, cume_y = cumsum(y)) |> ggplot(aes(x = location , y = y, fill = cat...
the bar for type 4 (top bar) should have the colors ordered (from left-to-right) as cyan, purple, lime, red. The order of the colors for in the bar for type 3 should be (right-to-left) green,purple, cyan, red. And so on for the horizontal bars for types 2 and 1. Her...
#comparision true and percived valuesggplot(df.build2,aes(x=reorder(building,-value),y=value,fill=variable))+geom_bar(stat="identity")+xlab("")+ylab("")+#geom_text(aes(label = c("29%" "30%", "36%", "39%", "32%", "31%", "31%", "29%", "29%", "28%")), size =...