September 2020

Deploying flexdashboard on Github Pages

September 3, 2020 | Rami Krispin

One of Github’s coolest features is Github Pages, which enables you to create and deploy websites under github.com domain for free. The most common usage of Github Pages is the deployment of project documentation. The R community is widely using it ...
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Deploying flexdashboard on Github Pages

September 3, 2020 | Rami Krispin

One of Github’s coolest features is Github Pages, which enables you to create and deploy websites under github.com domain for free. The most common usage of Github Pages is the deployment of project documentation. The R community is widely using it ...
[Read more...]

Numerical Partial Derivative Estimation – the {NNS} package

September 3, 2020 | Fred Viole

NNS (v0.5.5) now on CRAN has an updated partial derivative routine dy.d_() . This function estimates true average partial derivatives, as well as ceteris paribus conditions for points of interest. Example below on the syntax for estimating first derivatives of the function y = x_1^2 * x_2^2 , for the points x_1 = 0.5 and … ... [Read more...]

R treasures: modifyList()

September 2, 2020 | petermeissner

Sometimes, more precisely quite often, the standard libraries hold treasures that we are not aware of. Maybe they have obscure names, have been reinvented and shadowed by the newest cutting edge convenience package or one simply does not expect those t... [Read more...]

State of R packages in your library

September 2, 2020 | Posts on R-hub blog

Ever wondered where packages in general and their code in particular go when you run something like install.packages()? This post is for you! Where do installed packages live? Packages are installed at the path you give as lib argument to install.packages() (or to any remotes::install_ function, that ... [Read more...]

How to Clean Data: {janitor} Package

September 1, 2020 | Exploring Data

Exploring-Data is a place where I share easily digestible content aimed at making the wrangling and exploration of data more efficient (+fun). Sign up Here to join the many other subscribers who also nerd out on new tips and tricks ???? And if you enjoy the post be sure to share ...
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