Change ggplot2 Theme Color in R- Data Science Tutorials findoutlier <- function(x) { return(x < quantile(x, .25) - 1.5*IQR(x) | x > quantile(x, .75) + 1.5*IQR(x)) } Step 3: In ggplot2, label outliers in boxplots The next step is to use the code below to label outliers...
Create BoxPlots in R Label a BoxPlot in R Using the xlab, ylab, main, and names Parameters Label a BoxPlot in R Using the text() Function Label a BoxPlot in R Using the mtext() Function for Margin Labels Label a BoxPlot in R Using geom_text() in ggplot2 for Precision ...
Identifying these points in R is very simply when dealing with only one boxplot and a few outliers. That can easily be done using the “identify” function in R. For example, running the code bellow will plot a boxplot of a hundred observation sampled from a normal distribution, and will...