wzRfun

Build status for the stable version (master branch)

This is R. There is no if. Only how.

-- Simon 'Yoda' Blomberg, R-help (April 2005)

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Table of Contents

1. Presentation
2. Instructions for installation
3. Load only some functions
4. Bug report
5. Packages that uses wzRfun

Presentation

wzRfun contains functions developed for analysis and representation of data in addition to other general purpose tasks. The package name has a very obvious motivation except for the fact that I prefer to think about Rfun as being R is fun and not being R functions.

You can visit the documentation of the package at:

• Package webpage: http://leg.ufpr.br/~walmes/pacotes/wzRfun/. All public functions are documented at Reference.
• Package repository on GitHub: https://github.com/walmes/wzRfun. There you can see the source code, report bugs, and source() the code of functions without install the package.

Instructions for installation

You can install wzRfun from GitHub running the code below in a R session.

library(devtools)
install_github(repo = "walmes/wzRfun", ref = "master")

You can also install it from a compressed file (zip or tar.gz). These files are available for download at http://leg.ufpr.br/~walmes/pacotes/. Choose the proper file for your operational system and prefer the last version.

RStudio users can install it using the menu:

1. Tools > Install Packages...
2. Install from: Package Archive File
3. Locate the file already downloaded to complete installation.
4. If the installation fails, try:
   1. Upgrade the version of R for compatibility with wzRfun.
   2. Upgrade the version of the packages on which wzRfun depends.

You can also install wzRfun from compressed files by running the code below.

install.packages("wzRfun_X.Y.tar.gz", repos = NULL, type = "source")

Obviously, you must replace for the current path, version and extension by those of of the file that you downloaded.

For convenience and reproducibility, the code below uses XML queries (package XML) to download and install the latest version of wzRfun available in the webpage directory of the package.

# Use "tar.gz" or "zip" for file extension.
ext <- c("tar.gz", "zip")[1]

library(XML)

# Gets urls of files.
urlp <- "http://www.leg.ufpr.br/~walmes/pacotes/"
links <- getHTMLLinks(urlp)
ptn <- sprintf("^wzRfun_(.*)\\.%s$", ext)
vers <- gsub(pattern = ptn,
             replacement = "\\1",
             x = grep(x = links,
                      pattern = ptn,
                      value = TRUE))

# Finds out the latest version.
if (length(vers) > 1) {
    cpv <- Vectorize(FUN = compareVersion)
    out <- outer(vers, vers, FUN = cpv)
    ver <- vers[which.max(rowSums(out))]
    pkglink <- sprintf("wzRfun_%s.%s", ver, ext)
} else {
    pkglink <- sprintf("wzRfun_%s.%s", vers, ext)
}

# Downloads in a temporary directory.
td <- tempdir()
pkgpath <- paste(td, pkglink, sep = "/")
download.file(url = paste0(urlp, pkglink), destfile = pkgpath)

# Installs the package from the compressed file.
install.packages(pkgpath, repos = NULL, type = "source")

For GNU Linux users, it is possible install by using the Linux terminal by

R CMD INSTALL wzRfun_X.Y.tar.gz

Load only some functions

If you i) don't want to install the package, ii) are having problems with installation or iii) only wants to use a function or two, you can source() the desired code to your R session. You just need the URL for the raw file with the code you want. For example, to get only rp.nls(), you can execute as follows.

source("https://raw.githubusercontent.com/walmes/wzRfun/master/R/rp.nls.R")
ls()

After that, rp.nls() will be an object available to you. Consult the online documentation on rp.nls() to learn how to use it.

Bug report

Please, leave your message at the issues field. It will be answered as fast as possible.

Packages that uses wzRfun

• EACS.
• RDASC.
• nematistics.