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Is there any way for me to add some points to a pairs plot?
For example, I can plot the Iris dataset with pairs(iris[1:4]), but I wanted to execute a clustering method (for example, kmeans) over this dataset and plot its resulting centroids on the plot I already had.
It would help too if there's a way to plot the whole data and the centroids together in a single pairs plot in such a way that the centroids can be plotted in a different way. The idea is, I plot pairs(rbind(iris[1:4],centers) (where centers are the three centroids' data) but plotting the three last elements of this matrix in a different way, like changing cex or pch. Is it possible?
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To add new points to an existing plot, use the points() function. The points function has many similar arguments to the plot() function, like x (for the x-coordinates), y (for the y-coordinates), and parameters like col (border color), cex (point size), and pch (symbol type).
To create a Pair Plot in the R Language, we use the pairs() function. The pairs function is provided in R Language by default and it produces a matrix of scatterplots. The pairs() function takes the data frame as an argument and returns a matrix of scatter plots between each pair of variables in the data frame.
You give the solution yourself in the last paragraph of your question. Yes, you can use pch and col in the pairs function.
pairs(rbind(iris[1:4], kmeans(iris[1:4],3)$centers),
pch=rep(c(1,2), c(nrow(iris), 3)),
col=rep(c(1,2), c(nrow(iris), 3)))
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