https://github.com/bozenne/butils
Miscellaneous functions
https://github.com/bozenne/butils
r statistics
Last synced: 5 months ago
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Miscellaneous functions
- Host: GitHub
- URL: https://github.com/bozenne/butils
- Owner: bozenne
- Created: 2016-07-12T17:56:50.000Z (almost 10 years ago)
- Default Branch: master
- Last Pushed: 2024-06-25T15:11:23.000Z (almost 2 years ago)
- Last Synced: 2024-12-30T01:59:54.050Z (over 1 year ago)
- Topics: r, statistics
- Language: R
- Size: 764 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.org
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README
#+BEGIN_HTML
#+END_HTML
* butils
*butils* is an R package containing functions used during my consulting activity (it is not a very well organized nor tidy package).
* Installation
To install the package, you will need:
- 1. :: A fairly recent R version (>=4.0.0). You can check that using:
#+BEGIN_SRC R :exports both :results output :session *R* :cache no
paste0(R.Version()[c("major","minor")], collapse = ".")
#+END_SRC
#+RESULTS:
: [1] "4.1.1"
- 2. :: The library =remotes= that you can install running:
#+BEGIN_SRC R :exports both :results output :session *R* :cache no
install.packages("remotes")
#+END_SRC
#+RESULTS:
#+begin_example
Installing package into 'C:/Users/hpl802/Documents/R/win-library/4.1'
(as 'lib' is unspecified)
trying URL 'https://cloud.r-project.org/bin/windows/contrib/4.1/remotes_2.4.0.zip'
Content type 'application/zip' length 395672 bytes (386 KB)
downloaded 386 KB
package 'remotes' successfully unpacked and MD5 sums checked
The downloaded binary packages are in
C:\Users\hpl802\AppData\Local\Temp\Rtmp44ARJ0\downloaded_packages
#+end_example
- 3. :: To run the following line of code which download and install the package:
#+BEGIN_SRC R :exports both :eval never
remotes::install_github("bozenne/butils")
#+END_SRC
Note: you can check that the package has been correctly installed by running
the following lines of code:
#+BEGIN_SRC R :exports both :results output :session *R* :cache no
library(butils)
args(partialResiduals)
#+END_SRC
#+RESULTS:
: function (model, var, keep.intercept = FALSE, conditional = FALSE,
: interval = "confidence", level = 0.95, npoints = 100, quantile.range = c(0,
: 1), FUN.df, ...)
: NULL