R Weekly 2017-48 Teaching, Billboard, Australia palettes
Highlight
Insights
R in the Real World
R in Organizations
New Packages
-
ochRe - Australia themed colour palettes
Package Releases
-
Rcpp 0.12.14 - Some deprecation and minor updates
-
RcppClassic 0.9.9 - Deprecated ‘classic’ ‘Rcpp’ ‘API’
-
RcppEigen 0.3.3.3.1 - ‘Rcpp’ Integration for the ‘Eigen’ Templated Linear Algebra Library
R Internationally
Resources
Tutorials
-
Mapping your Oyster card journeys in London with tidygraph and ggraph
-
Predict Customer Churn – Logistic Regression, Decision Tree and Random Forest
R Project Updates
Updates from R Core:
-
R CMD INSTALL <pkg>
now produces the intended error message when, e.g., theLazyData
field is invalid. -
dput()
,deparse()
anddump()
now print thenames()
information only once, using the more readable(tag = value)
syntax, notably forlist()
s, i.e., including data frames. -
These functions gain a new control option
"niceNames"
(see.deparseOpts()
), which when set (as by default) also uses the(tag = value)
syntax for atomic vectors. OTOH, without deparse options"showAttributes"
and"niceNames"
, names are no longer shown also for lists.as.character(list( c (one = 1)))
now shows the name asas.character(list(list(one = 1)))
has always done. -
m:n
now also deparses nicely when m > n. -
mclapply
,pvec
andmcparallel
(whenmccollect
is used to collect results) no longer leave zombie processes behind. -
Subassignment with zero length vectors now coerces as documented.
Upcoming Events
-
RStudio conf 2018 January 31 to February 3
rstudio::conf is about all things R and RStudio! -
satRday Cape Town 2018 March 17
satRday Cape Town -
R/Finance 2018 June 1 and 2
Applied Finance with R. -
CascadiaRConf June 2, 2018 Portland, OR, US
-
7eme Rencontres R 5 & 6 July 2018
Rennes - Agrocampus -
useR! 2018 July 10, 2018
The annual useR! conference is the main meeting of the international R user and developer community.
More past events at R conferences & meetups.
Call for Participation
- satRday Cape Town 2018 - Call for papers
Quotes of the Week
🎉 Fun way to quickly plot multiple marginal effects 📈 by purrr::mapping the ggeffects::ggpredict function across a tibble of covariates & models. #rstats pic.twitter.com/AUq1c5OYKO
— Matt Harris (@Md_Harris) November 19, 2017
It begins...againhttps://t.co/AM5vLz29ii #rstats pic.twitter.com/DcgxmGEwF0
— Noam Ross (@noamross) November 21, 2017