Box Plot With Labels In R

R is extremely good for this type of.

Box plot with labels in r.

You can use the legend function to add legends or keys to. If you need to take full control of plot axes use axis. For more details about the graphical parameter arguments see par. In r boxplot and whisker plot is created using the boxplot function.

This function allows you to specify tickmark positions labels fonts line types and a variety of other options. Let s create some numeric example data in r and see how this looks in practice. The color the shape and the size for outlying points. A simplified format is.

For simple scatter plots version 3 6 2 data mini rdoc graphics plot default plot default a code will be used. The function geom boxplot is used. Specify location as a set of x y coordinates and specify the text to place as a vector of labels. 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.

Generic function for plotting of r objects. You can use the text function see above for labeling point as well as for adding other text annotations. You can also pass in a list or data frame with numeric vectors as its components let us use the built in dataset airquality which has daily air quality measurements in new york may to september 1973 r documentation. Basic box and whisker plot in r.

Geom boxplot outlier colour black outlier shape 16 outlier size 2 notch false outlier colour outlier shape outlier size. Introduction to boxplot labels in r. R allows you to also take control of other elements of a plot such as axes legends and text. R boxplot labels are generally assigned to the x axis and y axis of the boxplot diagram to add more meaning to the boxplot.

Yesterday i wanted to create a box plot for a small dataset to see the evolution of 3 stations through a 3 days period. The boxplot function takes in any number of numeric vectors drawing a boxplot for each vector. I like box plots very much because i think they are one of the clearest ways of showing trend in your data.