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An Image Processing Toolkit
Incorporates functions for image preprocessing, filtering and image recognition. The package takes advantage of 'RcppArmadillo' to speed up computationally intensive functions. The histogram of oriented gradients descriptor is a modification of the 'findHOGFeatures' function of the 'SimpleCV' computer vision platform, the average_hash(), dhash() and phash() functions are based on the 'ImageHash' python library. The Gabor Feature Extraction functions are based on 'Matlab' code of the paper, "CloudID: Trustworthy cloud-based and cross-enterprise biometric identification" by M. Haghighat, S. Zonouz, M. Abdel-Mottaleb, Expert Systems with Applications, vol. 42, no. 21, pp. 7905-7916, 2015,
A Replacement and Extension of the 'optim' Function
Provides a test of replacement and extension of the optim() function to unify and streamline optimization capabilities in R for smooth, possibly box constrained functions of several or many parameters. This version has a reduced set of methods and is intended to be on CRAN.
Parse Data of 'R' Code as an 'XML' Tree
Convert the output of 'utils::getParseData()' to an 'XML' tree, that one can search via 'XPath', and easier to manipulate in general.
Create 'Ascii' Screen Casts from R Scripts
Record 'asciicast' screen casts from R scripts. Convert them to animated SVG images, to be used in 'README' files, or blog posts. Includes 'asciinema-player' as an 'HTML' widget, and an 'asciicast' 'knitr' engine, to embed 'ascii' screen casts in 'Rmarkdown' documents.
Query 'R' Versions, Including 'r-release' and 'r-oldrel'
Query the main 'R' 'SVN' repository to find the versions 'r-release' and 'r-oldrel' refer to, and also all previous 'R' versions and their release dates.
Graphical Displays for Structured Problem Solving and Diagnosis
Powerful graphical displays and statistical tools for structured problem solving and diagnosis. The functions of the 'sherlock' package are especially useful for applying the process of elimination as a problem diagnosis technique. The 'sherlock' package was designed to seamlessly work with the 'tidyverse' set of packages and provides a collection of graphical displays built on top of the 'ggplot' and 'plotly' packages, such as different kinds of small multiple plots as well as helper functions such as adding reference lines, normalizing observations, reading in data or saving analysis results in an Excel file. References: David Hartshorne (2019, ISBN: 978-1-5272-5139-7). Stefan H. Steiner, R. Jock MacKay (2005, ISBN: 0873896467).
Match Regular Expressions with a Nicer 'API'
A small wrapper on 'regexpr' to extract the matches and captured groups from the match of a regular expression to a character vector.
Show an Image on an 'R' Graphics Device
Sometimes it is handy to be able to view an image file on an 'R' graphics device. This package just does that. Currently it supports 'PNG' files.
Regression Estimation and Presentation
A collection of functions for interpretation and presentation of regression analysis. These functions are used to produce the statistics lectures in < https://pj.freefaculty.org/guides/>. Includes regression diagnostics, regression tables, and plots of interactions and "moderator" variables. The emphasis is on "mean-centered" and "residual-centered" predictors. The vignette 'rockchalk' offers a fairly comprehensive overview. The vignette 'Rstyle' has advice about coding in R. The package title 'rockchalk' refers to our school motto, 'Rock Chalk Jayhawk, Go K.U.'.
Open System Files, 'URLs', Anything
Cross platform solution to open files, directories or 'URLs' with their associated programs.