I like box plots very much because i think they are one of the clearest ways of showing trend in your data.
Box plot with labels in r.
Basic box and whisker plot in r.
Generic function for plotting of r objects.
You can use the legend function to add legends or keys to.
If you need to take full control of plot axes use axis.
A simplified format is.
You can use the text function see above for labeling point as well as for adding other text annotations.
The boxplot function takes in any number of numeric vectors drawing a boxplot for each vector.
For simple scatter plots version 3 6 2 data mini rdoc graphics plot default plot default a code will be used.
In r boxplot and whisker plot is created using the boxplot function.
Yesterday i wanted to create a box plot for a small dataset to see the evolution of 3 stations through a 3 days period.
This function allows you to specify tickmark positions labels fonts line types and a variety of other options.
Specify location as a set of x y coordinates and specify the text to place as a vector of labels.
Introduction to boxplot labels in r.
Boxplots are a popular type of graphic that visualize the minimum non outlier the first quartile the median the third quartile and the maximum non outlier of numeric data in a single plot.
For more details about the graphical parameter arguments see par.
The color the shape and the size for outlying points.
R allows you to also take control of other elements of a plot such as axes legends and text.
R is extremely good for this type of.
Other common options are cex col and font for size color and font style respectively.
Labels are used in box plot which are help to represent the data distribution based upon the mean median and variance of the data set.
This r tutorial describes how to create a box plot using r software and ggplot2 package.
Let s create some numeric example data in r and see how this looks in practice.
Geom boxplot outlier colour black outlier shape 16 outlier size 2 notch false outlier colour outlier shape outlier size.