Collection of Scripts for Interface Between 'Cornerstone' and 'R'

Collection of generic 'R' scripts which enable you to use existing 'R' routines in 'Cornerstone'. --- The desktop application 'Cornerstone' (< https://www.camline.com/en/products/cornerstone/cornerstone-core.html>) is a data analysis software provided by 'camLine' that empowers engineering teams to find solutions even faster. The engineers incorporate intensified hands-on statistics into their projects. They benefit from an intuitive and uniquely designed graphical Workmap concept: you design experiments (DoE) and explore data, analyze dependencies, and find answers you can act upon, immediately, interactively, and without any programming. --- While 'Cornerstone's' interface to the statistical programming language 'R' has been available since version 6.0, the latest interface with 'R' is even much more efficient. 'Cornerstone' release 7.1.1 allows you to integrate user defined 'R' packages directly into the standard 'Cornerstone' GUI. Your engineering team stays in 'Cornerstone's' graphical working environment and can apply 'R' routines, immediately and without the need to deal with programming code. --- Learn how to use 'R' packages in 'Cornerstone' 7.1.1 on 'camLineTV' YouTube channel (< https://www.youtube.com/watch?v=HEQHwq_laXU>) (available in German).


Lifecycle CRAN status CRAN Checks CRAN Downloads Pipeline Status Coverage Report

CornerstoneR package provides generic R scripts which enable you to use existing R routines in Cornerstone.

The desktop application Cornerstone is a data analysis software provided by camLine that empowers engineering teams to find solutions even faster. The engineers incorporate intensified hands-on statistics into their projects. They benefit from an intuitive and uniquely designed graphical Workmap concept: you design experiments (DoE) and explore data, analyze dependencies, and find answers you can act upon, immediately, interactively, and without any programming.

While Cornerstone's interface to the statistical programming language R has been available since version 6.0, the latest interface with R is even much more efficient. Cornerstone release 7.1.1 allows you to integrate user defined R packages directly into the standard Cornerstone GUI. Your engineering team stays in Cornerstone's graphical working environment and can apply R routines, immediately and without the need to deal with programming code.

Learn how to use R packages in Cornerstone 7.1.1 on camLineTV YouTube channel (available in German).

Documentation

  1. Overview
  2. Function Reference
  3. News

Installation

CRAN Version

Install the version from CRAN via

install.packages("CornerstoneR")

Development Version

For the development version from GitLab we use remotes. Installation the development version via

install.packages("remotes")
remotes::install_gitlab("camLine/CornerstoneR")

To install a certain branch or commit or tag, append the corresponding name after an @ to the repo name:

remotes::install_gitlab("camLine/[email protected]")

News

CornerstoneR 1.1.1

  • Cleanup DESCRIPTION

CornerstoneR 1.1.0

  • Random Forest: Add importance mode and respect unordered factors to script variables.
  • Random Forest: Export split rule to statistics.
  • Random Forest: Add function 'randomForestPredict' to predict new data via a saved forest.
  • Fit Function via nls: User defined functions are now possible via script variables.
  • 'FitFunction', 'mosaicPlot', 'ReshapeLongWide': Add three dots to function call.

CornerstoneR 1.0.1

  • Fix tests.

CornerstoneR 1.0.0

  • Initial CRAN release.

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("CornerstoneR")

1.1.1 by Dirk Surmann, 2 months ago


https://gitlab.com/camLine/CornerstoneR


Report a bug at https://gitlab.com/camLine/CornerstoneR/issues


Browse source code at https://github.com/cran/CornerstoneR


Authors: Dirk Surmann [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports checkmate, data.table, ranger, vcd

Suggests knitr, rmarkdown, roxygen2, testthat


See at CRAN