Additional Datasets to Accompany Hollander, Wolfe, and Chicken - Nonparametric Statistical Methods, Third Edition
Designed to add datasets which are used in the textbook.
THIS IS NOT a substitute for the textbook. You will almost certainly not be able to use anything in this package without having the textbook. Rather, this package is supplemental and is only designed to save you time that you would otherwise spend typing data into R or into a spreadsheet.
Install the package from GitHub using the devtools library.
install.packages("devtools") # if it isn't already installed on your system
::install_github("kim3-sudo/nsm3data") devtools
After the package is installed, load the library into your current
environment using the library()
function.
library(nsm3data)
To install the package from a release instead of with the devtools
library, download the tar.gz
file from the latest GitHub
release. Then use
R CMD INSTALL nsm3data_X.Y.ZZZZ.tar.gz
in a terminal window, replacing X.Y.ZZZZ
with the actual
version number of the release. After the package is installed, load the
library into yur current environment using the library()
function.
Start R and type library(nsm3data)
to see that it was
installed, then try out some of its functions.
nsm3data contributes no additional functions, but it does have data
and documentation. You need not specify the location of a dataset;
simply use the data()
function to read the data into your
current environment after you have loaded the library.
All datasets have accompanying descriptions that have varying degrees
of helpfulness. The package itself also has a help description. To view
this description, use the help()
function in R to view the
object’s documentation. For example, use
help(nsm3data)
help(pokeweed)
to view the pokeweed
dataset documentation.
nsm3data contains its own table of contents for the datasets that it includes. This table of contents may not be up-to-date, and we would appreciate your contributions if you find a dataset that doesn’t have an entry. Instructions on how to do so are in CONTRIBUTING.md.
To view the table of contents, use the help()
function
in R to view the toc
object documentation
help(toc)
Please note that the toc
object doesn’t actually exist
in any meaningful way, so trying to reference it will result in just a
message.
All datasets in nsm3data are provided as R datasets, so to use a
dataset, simply use the data()
function after you have
loaded in the library. Consult the table of contents to find the name of
a dataset. For example, use
data(pokeweed)
to load the pokeweed
dataset into your environment. The
data will be loaded in as a dataframe, so you can use any method to view
or manipulate that data as you would any other dataframe, including
using tidyr::
functions. If you are new to R, you need not
fear overwriting the library datasets, since you are editing data that
is in your own environment.
Get started with:
View(pokeweed)
head(pokeweed)
str(pokeweed)
Please use the GitHub issues feature to get help. The maintainer encourages you to use the pink “question” label to get help.