![]() ![]() It so happens that this the same variable is also used for faceting ( facet_wrap( ~ grp)). It changes the label of the variable used for colouring ( aes(colour=grp)). This is not actually what you wanted to do and what my solution does. ![]() One final remark: You asked to change the name of the "label for facet grouping variable". labs can be used to set titles to other aesthetics as well: + labs(x="x-axis title", y="y-axis title", fill="fill legend title", shape="shape legend title", colour="colour legend title") There are 10 species I want to depict in the fashion, and then on each facet I also want to show the data for 2 'benchmark' species for comparison. ![]() The part I added to set the legend title is +labs(colour="The Groups"). I am trying to depict the mean crude protein content (y-axis) of 10 plants by growth stage (x-axis) and then facet by each individual species. 12 Is it possible to reorder only the facets of facetwrap, without reordering the underlying factor levels. 4 ggplot: How to display multiple groups via color and shape with point and line. In this article, we are going to see how to modify the axis labels, legend, and plot labels using ggplot2 bar plot in R programming language. ggplot(me3,aes(xyear,ystate,filltotal))+ geomtile() Add borders around the tiles. Subscript a title in a Graph (ggplot2) with label of another file. ‘year’ is mapped to the x-axis, ‘state’ to the y-axis and fill color for the tiles is the ‘total’ value. Ggplot(data = df, aes(x = x, y = y)) + geom_point(aes(colour=grp)) + facet_wrap( ~ grp) + We can build up a basic ggplot and heatmap tiles can be plotted using the geom geomtile. Grp = rep(c("virginica.versicolor", "tosa", "setosa.virginica"), each=50)) Y = c(df2$Petal.Length, df3$Petal.Length, df1$Petal.Length), # construct species 1 vs 2, 2 vs 3 and 3 vs 1 dataĭf <- ame(x=c(df1$Petal.Length, df2$Petal.Length, df3$Petal.Length), Since the question refers to this post, I will add the solution to the code given there: # get Petal.Length for each species separatelyĭf1 <- subset(iris, Species = "virginica", select=c(Petal.Length, Species))ĭf2 <- subset(iris, Species = "versicolor", select=c(Petal.Length, Species))ĭf3 <- subset(iris, Species = "setosa", select=c(Petal.Length, Species)) ![]()
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