Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
The dtupdate package has functions that attempt to figure out which packages have non-CRAN versions (currently only looks for github ones) and then tries to figure out which ones have updates (i.e. the github version is > local version). It provides an option (not recommended) to auto-update any packages with newer development versions. The reason auto updating is not recommended is due to there being potential incompatibilities between what’s in the devtools universe and what you have installed. There is a reason for CRAN, so it’s best to just use the functions that are and will be in this package to get a feel for how out of date you are, then go check the details of the new package versions before updating.
The URL and BugReports fields are, frankly, a mess. Many packages have multiple URLs in one or both of those fields and the non-github URLs are all over the place in terms of formatting. It will take some time, but I’m pretty confident I can get r-forge, bitbucket, gitorius and other external repos working. This was an easy first step.
TODO: A nice knitr HTML report is planned with clickable links and embedded NEWS and DESCRIPTION files for each package.
The following functions are implemented:
github_update– find, report and optionally update packages installed from or available on github. This initial version just keys off of theBugReports:field, looking for a github-ish URL and then grabbing what info that it can to see if the repo is in package format and has aDESCRIPTIONfile it can key off of
News
- Version
1.0released (nascent github pkg update capability)
Installation
devtools::install_github("hrbrmstr/dtupdate")
Usage
library(dtupdate)
# get current verison
packageVersion("dtupdate")
## [1] '1.0'
# see what packages are available for an update
github_update()
## package.repo owner installed.version current.version update.available
## 1 corrplot taiyun 0.73 0.73 no
## 2 data.table Rdatatable 1.9.3 1.9.3 no
## 3 dtupdate hrbrmstr 1.0 1.0 no
## 4 formatR yihui 0.10.5 0.10.5 no
## 5 ggplot2 hadley 1.0.0.99 1.0.0.99 no
## 6 ggthemes jrnold 1.8.0 1.8.0 no
## 7 gmailr jimhester 0.0.1 0.0.1 no
## 8 highr yihui 0.3.1 0.3.1 no
## 9 miniCRAN andrie 0.0-20 0.0-20 no
## 10 RcppArmadillo RcppCore 0.4.400.0 0.4.400.0 no
## 11 corrplot taiyun 0.73 0.73 no
## 12 forecast robjhyndman 5.4 5.6 yes
## 13 formatR yihui 0.10 0.10.5 yes
## 14 ggplot2 hadley 1.0.0 1.0.0.99 yes
## 15 ggthemes jrnold 1.7.0 1.8.0 yes
## 16 highr yihui 0.3 0.3.1 yes
## 18 jsonlite jeroenooms 0.9.9 0.9.10 yes
## 19 knitr yihui 1.6.6 1.6.14 yes
## 20 knitrBootstrap jimhester 1.0.0 1.0.0 no
## 21 lubridate hadley 1.3.3 1.3.3 no
## 22 markdown rstudio 0.7 0.7.4 yes
## 23 memoise hadley 0.2.1 0.2.99 yes
## 24 mime yihui 0.1.1 0.1.2 yes
## 25 packrat rstudio 0.4.0 0.4.0.12 yes
## 26 Rcpp RcppCore 0.11.2 0.11.2.1 yes
## 27 reshape2 hadley 1.4 1.4.0.99 yes
## 28 rzmq armstrtw 0.7.0 0.7.0 no
## 29 scales hadley 0.2.4 0.2.4.99 yes
## 30 shiny rstudio 0.10.0.9001 0.10.1.9004 yes
## 31 shinyAce trestletech 0.1.0 0.1.0 no
## 32 slidify ramnathv 0.4.5 0.4.5 no
## 33 testit yihui 0.3 0.3 no
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.