ggplot2 bar-chart lines Share Improve this question askedSep 25, 2013 at 8:59 this.is.not.a.nick 2,68133 gold badges2323 silver badges2626 bronze badges 1 Answer Sorted by: 6 First, as sample data are not provided, made my own sample data. Those data are already summarized (there is...
Use thelines()Function to Add a Line to a Plot in R Thelines()function is part of the Rgraphicspackage, and it’s used to add lines to the plot. At first, theplotfunction should be called to construct a plot where there is a mapping of variables specified by the first two arguments...
("B", 7), rep("C", 5), rep("A", 3)) df <- data.frame(x, y, group) df$lvls <- as.numeric(orderX[df$group]) ggplot(data = df, aes(x=reorder(df$x, df$lvls), y=y)) + geom_point(aes(colour = group)) + geom_line(stat = "hline", yintercept = "mean", aes(...
Add a line with slope and intercept.
Note thatltyandlwdspecify line-type and line-width, respectively. Infos This analysis has been performed usingR statistical software(ver. 3.1.0). Enjoyed this article? I’d be very grateful if you’d help it spread by emailing it to a friend, or sharing it on Twitter, Facebook or Linked...
Add a comment 1 vote I think that it looks better if stat_boxplot(geom ='errorbar') on the first line as it hides the vertical line. bp <- ggplot(iris, aes(factor(Species), Sepal.Width, fill = Species))+ stat_boxplot(geom ='errorbar') bp + geom_boxplot() Share Cite ...
Example 1: line plot Example 2: box plot Infos The goal of this article is to show you how to addlegendsto plots usingR statistical software. R legend function To addlegendsto plots inR, theR legend()function can be used. A simplified format of the function is : ...
Example 1: Add Vertical Line to ggplot2 Plot Using geom_vline() Function In this example, I’ll explain how to print a vertical line to a ggplot2 plot. For this, we can use the geom_vline function and the xintercept argument: ...
Add Manually P-values to a ggplot Source:R/stat_pvalue_manual.R stat_pvalue_manual(data,label=NULL,y.position="y.position",xmin="group1",xmax="group2",x=NULL,size=3.88,label.size=size,bracket.size=0.3,bracket.nudge.y=0,bracket.shorten=0,color="black",linetype=1,tip.length=0.03,...
linetype="dashed") + xlab(variable) + ylab("Subject") } p = lapply(names(dat)[1:4], function(x) plot.id.var(x)) print(p) save_fig(p) myggplot2 = p mydoc = addPlot( doc = mydoc , fun = print, x = myggplot2,