September 2016

HW Checker: R, AppScripts, & Google Forms

September 7, 2016 | data_steve

googleformr For the past few months I’ve been toying with the idea of using googleformr to empower data science-oriented instructors to use data science in their workflow. In this 2-part series of posts, I’ll show how to AppScripts and R to turn... [Read more...]

HW Checker: R, AppScripts, & Google Forms

September 7, 2016 | data_steve

googleformr For the past few months I’ve been toying with the idea of using googleformr to empower data science-oriented instructors to use data science in their workflow. In this 2-part series of posts, I’ll show how to AppScripts and R to turn... [Read more...]

How to get started with Data Science using R

September 7, 2016 | Karthik Bharadwaj

R being the lingua franca of data science and is one of the popular language choices to learn data science. Once the choice is made, often beginners find themselves lost in finding out the learning path and end up with a signboard as below. Photo by George Chadwik (some rights ...
[Read more...]

Breaking the Ellipsis

September 6, 2016 | R-SquareD

Dot Dot Dot - I have often found instances where I want to pass a list to a function that accepts multiple items though an ellipsis. If you pass the list, the function considers that one item. Lists are handy structures to use ...
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Annual Mean Temperature Trends – 12 Airports

September 6, 2016 | Kelly

This animated gif  shows changes in annual mean temperature at 12 East Coast USA airports that had continuous daily data for the 1950 – 2015 period. The data was retrieved from Weather Underground using the R weatherData package . 11 … Continue reading → [Read more...]

Mastering the Art of Data Preparation I

September 6, 2016 | Pramit

Without a solid foundation, you’ll have trouble creating anything of value. ~ Erika OppenheimerAlthough building models to predict the future outcome is the ultimate goal of any study, getting the data and preparing it for analysis is the foundation based on which the models are built. Although often neglected, this ...
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Examining Data Exercises

September 6, 2016 | Francisco Méndez

One of the first steps of data analysis is the descriptive analysis; this helps to understand how the data is distributed and provides important information for further steps. This set of exercises will include functions useful for one variable descriptive analysis, including graphs. Before proceeding, it might be helpful to ... [Read more...]

Chaotic Galaxies

September 6, 2016 | aschinchon

Tell me, which side of the earth does this nose come from? Ha! (ALF) Reading about strange attractors I came across with this book, where I discovered a way to generate two dimensional chaotic maps. The generic equation is pretty simple: I used it to generate these chaotic galaxies: Changing ...
[Read more...]

googleVis 0.6.1 on CRAN

September 6, 2016 | R on mages' blog

We released googleVis version 0.6.1 on CRAN last week. The update fixes issues with setting certain options, following the switch from RJSONIO to jsonlite. Screen shot of some of the Google ChartsNew to googleVis? The package provides an interface betw... [Read more...]

googleVis 0.6.1 on CRAN

September 6, 2016 | Markus Gesmann

We released googleVis version 0.6.1 on CRAN last week. The update fixes issues with setting certain options, following the switch from RJSONIO to jsonlite. Screen shot of some of the Google ChartsNew to googleVis? The package provides an interface betw... [Read more...]

How to add pbapply to R packages?

September 6, 2016 | Peter Solymos

As of today, there are 20 R packages that reverse depend/import/suggest (3/14/3) the pbapply package. Current and future package developers who decide to incorporate the progress bar using pbapply might want to customize the type and style of the progress bar in their packages to better suit the needs of ... [Read more...]

Sold! How do home features add up to its price tag?

September 5, 2016 | Ashish

I begin with a new project. It is from the Kaggle playground wherein the objective is to build a regression model (as the response variable or the outcome or dependent variable is continuous in nature) from a given set of predictors or independent variables. My motivation to work on this ... [Read more...]
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