{"Package":"teachingApps","Type":"Package","Title":"Apps for Teaching Statistics, R Programming, and Shiny App\nDevelopment","Version":"1.0.8","Date":"2020-05-12","Authors@R":"c(\nperson(\"Jason\", \"Freels\", email = \"auburngrads@live.com\", role = c(\"aut\",\"cre\")),\nperson(\"Bradley\", \"Boehmke\", email = \"bradleyboehmke@gmail.com\", role = c(\"ctb\"))\n)","Maintainer":"Jason Freels ","Description":"Contains apps and gadgets for teaching data analysis and\nstatistics concepts along with how to implement them in R. Includes\ntools to make app development easier and faster by nesting apps together.","URL":"https://github.com/Auburngrads/teachingApps","BugReports":"https://github.com/Auburngrads/teachingApps/issues","Encoding":"UTF-8","License":"GPL (>= 2)","LazyData":"true","Depends":"R (>= 3.1.0)","Imports":"shiny, pacman, shinythemes, shinydashboard, dplyr, DT,\ndatasets, actuar, markdown, stats, knitr, data.table, Rcpp (>=\n0.12.14), rprojroot, utils, devtools, graphics, scales, yaml,\nmagrittr, ggplot2, RcppNumerical, miniUI","NeedsCompilation":"yes","Archs":"i386, x64","Suggests":"testthat, rmarkdown, radarchart, networkD3, diagram,\nDiagrammeR, visNetwork, metricsgraphics, leaflet, shinyAce,\nplotly, tidyr","RoxygenNote":"7.1.0","LinkingTo":"Rcpp (>= 0.12.14), BH (>= 1.58.0-1), RcppEigen,\nRcppNumerical","Packaged":"2020-05-12 14:09:32 UTC; Aubur","Author":"Jason Freels [aut, cre],\nBradley Boehmke [ctb]","Repository":"CRAN","Date/Publication":"2020-05-13 20:20:02 UTC","repoType":"cran","tarballUrl":"ftp://cran.r-project.org/pub/R/src/contrib/teachingApps_1.0.8.tar.gz","jsonAuthors":[{"name":"Jason Freels","email":"auburngrads@live.com","maintainer":true},{"name":"Bradley Boehmke","email":"bradleyboehmke@gmail.com","maintainer":false}],"readme":"---\noutput: \n html_document:\n self_contained: no\n keep_md: yes\n---\n\n[![Build Status](https://api.travis-ci.org/Auburngrads/teachingApps.svg?branch=master)](https://travis-ci.org/Auburngrads/teachingApps)\n[![AppVeyor Build Status](https://ci.appveyor.com/api/projects/status/github/Auburngrads/teachingApps?branch=master&svg=true)](https://ci.appveyor.com/project/Auburngrads/teachingApps)\n[![Coverage Status](https://codecov.io/github/Auburngrads/teachingApps/coverage.svg?branch=master)](https://codecov.io/github/Auburngrads/teachingApps?branch=master)\n[![CRAN_Status_Badge](https://r-pkg.org/badges/version/teachingApps)](https://cran.r-project.org/package=teachingApps)\n[![Downloads](https://cranlogs.r-pkg.org/badges/teachingApps)](https://cranlogs.r-pkg.org/badges/teachingApps)\n[![Total Downloads](https://cranlogs.r-pkg.org/badges/grand-total/teachingApps)](https://cranlogs.r-pkg.org/badges/grand-total/teachingApps)\n\n\nteachingApps is a software package for crowd-sourcing the creation of math & stats-based web apps. The goal of the package is to make teaching and learning complex math/stats concepts really fast and really easy.\n\nIn this talk Maj Jason Freels (ENV) presents some of the 135 apps that have already been built into the package and outlines how these apps can be used to:\n \nA) Present four layers of information simultaneously:\n\n 1) Math/Stats concepts through interactive visualizations\n\n 2) Computer programming skills - with R (Python coming soon)\n\n 3) LaTeX equation typesetting with MathJax\n\n 4) App development using HTML5, CSS3, and Shiny
\n\nB) Integrate into existing lecture materials (in-res & distance learning)\n\n + PowerPoint/Prezi/Keynote presentations\n\n + PDF/Beamer presentations\n\n + HTML presentations\n\n + Video Presentations\n\nC) Combine teaching materials from SME's\n\n + Text\n\n + Equations\n\n + Images/Videos\n\n + Code\n\n + Shiny Apps\n\nD) Ensure math/stat content is presented consistently across courses ","jobInfo":{"package":"teachingApps","version":"1.0.8","parsingStatus":"success","parserVersion":1,"parsedAt":"2020-05-13T20:30:26+0000"}}

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