In some box plots, the minimums and maximums outside the first and third quartiles are depicted with lines, which are often called whiskers.
In a box plot, numerical data is divided into quartiles, and a box is drawn between the first and third quartiles, with an additional line drawn along the second quartile to mark the median. These data look awfully suspicious to me.If you’re doing statistical analysis, you may want to create a standard box plot to show distribution of a set of data. Instead, you could make a line plot for each mouse, using different symbols and colors to indicate what groups they belong to.
TWO BOX PLOTS SAME GRAPH R FULL
From there, you can plot the individual variables with boxplots, but not the full combination, because you have only 1 datum per combination. Then reshape your data into 'long' form, so you have two matching datasets. I also have an exposure timing variable in my total dataset. In the sample set, I only included one of the two groups. Here is kind of an idea I was thinking of. "Female", "Female", "Female", "Female", "Female", "Female", "Female", A sample of the data is below: dput(MRI_hh) I assume a grouped boxplot would be the nicest visually but I am open to other ideas.
I would like to visually show the different body region sizes by treatment and sex. The data is non-repetitive however, subjects with similar "TREATMENT" background colors are from the same litters. The above regions are the volumes of 7 body regions & Each variable has 2 treatments and sex (drug 1/2 & M/F). I am trying to create a graph in R that has 7 variables on the x axis, and size on the y axis.
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