The next code snippet uses the abbreviate function to automatically shorten the labels and then draw graphs as two columns. P2 <- p1 + scale_x_discrete("Cut Type", labels = c("Fair" = "F","Good" = "G", "Very Good" = "VG","Premium" = "P","Ideal" = "I"))Īnother useful method to modify the labels on the x axis is to pass a function object as a labels parameter. P1 <- ggplot(diamonds, aes(cut)) + geom_bar(fill = "orange") + scale_x_discrete("Cut") Both graphs are drawn side-by-side using the grid.arrange function, part of the gridExtra package. Alternatively, we can pass specific string values for each label by constructing a vector and assigning it to the labels parameter. x axis has the default title - cut, which can be modified by passing the string as the first argument of scale_x_discrete. The graph uses the cut column and plots the count of each type on the y axis. Notice that the first ggplot object is a bar graph based on the diamonds data set. In this case, we utilize scale_x_discrete to modify x axis tick labels for ggplot objects.
Scale_x_discrete together with scale_y_discrete are used for advanced manipulation of plot scale labels and limits. Use scale_x_discrete to Modify ggplot X Axis Tick Labels in R
R HIST RENAME X AXIS HOW TO
This article will introduce how to modify ggplot x-axis tick labels in R. Use scale_x_discrete With Custom Function to Modify ggplot X Axis Tick Labels in R.Use scale_x_discrete to Modify ggplot X Axis Tick Labels in R.
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