The tukeyedar package houses data exploration tools. Many functions
are inspired by work published by Tukey (1977), Hoaglin (1983), Velleman
and Hoaglin (1981), and Cleveland (1993). Note that this package is in
beta mode, so use at your own discretion.
You can install the development version of tukeyedar from GitHub with:
install.packages("remotes")
remotes::install_github("mgimond/tukeyedar")Note that the vignettes will not be automatically generated with the
above command, however, the vignettes are available on this website (see
next section). If you want a local version of the vignettes, add the
build_vignettes = TRUE parameter.
remotes::install_github("mgimond/tukeyedar", build_vignettes = TRUE)If, for some reason the vignettes are not created, you might want to
re-install the package with the force=TRUE parameter.
remotes::install_github("mgimond/tukeyedar", build_vignettes = TRUE, force=TRUE)It’s strongly recommended that you read the vignettes. These can be accessed from this website:
- A detailed rundown of the resistant line function
- The median polish
- The empirical QQ plot
- The symmetry QQ plot
- The residual-fit spread plot
If you chose to have the vignettes locally created when you installed
the package, then you can view them locally via
vignette("RLine", package = "tukeyedar"). If you use a dark themed
IDE, the vignettes may not render very well so you might opt to view
them in a web browser via the functions
RShowDoc("RLine", package = "tukeyedar").
All functions start with eda_. For example, to generate a three point
summary plot of the mpg vs. disp from the mtcars dataset, type:
library(tukeyedar)
eda_3pt(mtcars, disp, mpg)Note that most functions are pipe friendly. For examples:
# Using R >= 4.1
mtcars |> eda_3pt(disp, mpg)
# Using magrittr (or any of the tidyverse packages)
library(magrittr)
mtcars %>% eda_3pt(disp, mpg)Cleveland, William. 1993. Visualizing Data. Hobart Press.
Hoaglin, Mosteller, D. C. 1983. Understanding Robust and Exploratory Data Analysis. Wiley.
Tukey, John W. 1977. Exploratory Data Analysis. Addison-Wesley.
Velleman, P. F., and D. C. Hoaglin. 1981. Applications, Basics and Computing of Exploratory Data Analysis. Boston: Duxbury Press.