Basic Scatterplot In Base R - The R Graph Gallery

Most basic scatterplot

The plot() function of R allows to build a scatterplot. Both numeric variables of the input dataframe must be specified in the x and y argument.

Customizations

Here is a description of the most common customization:

• cex: circle size
• xlim and ylim: limits of the X and Y axis
• pch: shape of markers. See all here.
• xlab and ylab: X and Y axis labels
• col: marker color
• main: chart title

Map the marker color to a categorical variable # the iris dataset is provided by R natively # Create a color palette library(paletteer) colors = paletteer_c("scico::berlin", n=3) # Scatterplot with categoric color scale plot( x = iris$Petal.Length, y = iris$Petal.Width, bg = colors[ unclass(iris$Species) ], cex = 3, pch=21 )

Map the marker color to a numeric variable # the iris dataset is provided by R natively # Create a color palette library(paletteer) nColor <- 20 colors = paletteer_c("viridis::inferno", n=nColor) # Transform the numeric variable in bins rank <- as.factor( as.numeric( cut(iris$Petal.Width, nColor))) # Scatterplot with color gradient plot( x = iris$Petal.Length, y = iris$Petal.Width, bg = colors[ rank ], cex = 3, pch=21 )

Related chart types

Scatter Heatmap Correlogram Bubble Connected scatter Density 2d

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