- textfeatures - Extracts Features from Text (A simple package for extracting useful features from character objects)
autoplotly - Automatic Generation of Interactive Visualizations for Popular Statistical Results
- wiggleplotr - Make read coverage plots from BigWig files
ggfortify 0.4.3 - Unified Interface to Visualize Statistical Result of Popular R Packages
lime v0.4 - The kitten picture edition
Videos and Podcasts
R in the Real World
R Project Updates
Updates from R Core:
as.data.frame()methods, notably the
matrixone, are now more careful in not accepting duplicated or
NArow names, and by default produce unique non-NA row names. This is based on
row.names(x, make.names = *) <- rNmswhere
make.namesis a new logical, with back compatible default.
par*applyLBgain an optional argument
chunk.sizewhich allows to specify the granularity of scheduling.
parSapplyLBhave been fixed to do load balancing (dynamic scheduling). This also means that results of computations depending on random number generators will now really be non-reproducible, as documented.
Upcoming Events in 3 Months
Events in 3 Months:
satRday Cape Town 2018 March 17
satRday Cape Town
New York R conference Aprl 20-21
New York R conference, Discount Code : rladies
eRum 2018 May 14-16
European R Users Meeting @ Budapest, Hungary
R/Finance 2018 June 1 and 2
Applied Finance with R.
CascadiaRConf June 2 Portland, OR, US
More past events at R conferences & meetups.
Call for Participation
R-Ladies NYC April 2018 Book Club R-Ladies NYC are still gathering suggestions for the bookclub.
LatinR 2018 Call for papers Abstract submission deadline: April 13, 2018.
Quotes of the Week
Here's the evolution of Irish Population density 1841->2002 on a DED level. You can see the devastating impact of the Famine, the gradual thinning of the rural population and the late-20th c. suburban sprawl #history #ireland #rstats pic.twitter.com/SOwSyHvPIN— Alan Fernihough (@DiffusePrioR) March 9, 2018
Dear Past Me,— Ezra Brooks (@ezbrooks) March 9, 2018
Thank you for:
* documenting your code.
* standardizing menial tasks in Bash & #rstats scripts.
* using version control.
* using makefiles.
I pledge to continue this behavior for Future Me, & for anyone else who needs to make changes to my projects.
Day in my #rstats life:— Mario Martinez (@Kwarizmi) March 6, 2018
0930: How lucky I am to work on clean datasets curated by true professionals.
1330: Huh. Some inconsistencies here. No bigs. I'll just write up some quick and dirty regex to clean this up.
1720: I WILL BURN THIS HERETICAL DATA CENTER AND SCATTER ITS ASHES