Category: RDataViz
Plot mean by group in R using ggplot2 or use other measures
Here is how to plot mean by group in R using ggplot2 or try other measures to summarize values. To demonstrate that, I will use a jitter plot. A jitter plot is great if you want to look at all data points by categories, but additional statistics might be useful for evaluation.
How to create a jitter plot in R with ggplot2, plotly, and base
Here are 3 ways to create a jitter plot in R, also called a strip chart or a dot plot which is a one-dimensional scatter plot. A jitter plot in R makes it easier to view overlapping data points by categorical or discrete values. In that scenario, the scatter plot groups all data points in…
How to use different colors in the ggplot2 title in R
Different colors in the ggplot2 title might be useful to emphasize part of that or as a substitute for the R plot legend. It is not very easy to do, but worth it if it helps to draw the necessary attention.
How to swap R plot axis or rotate axis labels in ggplot2
If it is necessary to swap the R plot axis, try to do that with the x and y arguments. Package ggplot2 allows you to swap the axis by using coord_flip, but it is mostly unnecessary. Try to fix the problem at the beginning.
Add marginal distribution in R with rug plot from ggplot2
The R rug plot using the ggplot2 package is an interesting way to add one-dimension marginal distribution in R to the plot. There are multiple ways how to use that, and here are a couple of examples in combination with a scatter plot.
How to change marker shape in the R plot
Sometimes you might wonder how to remove the border around dots in ggplot2, but all you have to do is change the marker shape in the R plot. When creating a plot in R that contains markers, it is possible to adjust the color, transparency, and also shape.
