The Stan project for statistical computation has a great collection of curated case studies which anybody can contribute to, maybe even me, I was thinking. But I don’t have time to worry about that right now because I’m on vacation, being on the yearly visit to my old ... [Read more...]

By Gabriel Vasconcelos When I first started using R there was no such thing as the tidyverse. Although some of the tidyverse packages were available independently, I learned to treat my data mostly using brute force combining pieces of information … Continue reading → [Read more...]

I wanted to give everyone a heads up about a major rebrand and some probable downtime happening over the weekend. I’m going to be consolidating my Locke Data consulting company materials, the blog, the talks, and my package documentation into The post Notice: Changes to the site appeared first ... [Read more...]

Post by Adi Sarid (Sarid Institute for Research Services LTD.) Lately I’ve been working a lot with the shinydashboard library. Like shiny, it allows any R programmer to harness the power of R and create professional looking interactive apps. The thing about shinydashboards is that it makes wonderfully looking ... [Read more...]

Background From time to time I have wanted to bring an online table into an R dataframe. While in principle, the data can be cut and paste into Excel, sometimes the table is very large and sometimes the columns get goofed up in the process. Fortunately, there are a number ... [Read more...]

I recently wrote a package to solve the Twitter Waterflow Problem using an R6 class. You can view the package here and read about how I approached the problem here. In this blog post, I want to highlight how you can access private members of an R6 clas... [Read more...]

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Yes, I know. I’m a hypocrite to be creating ‘interesting’ stuff using R. If you’ll excuse me just this one time, you’ll see some silly fun using R. It is an experiment to see how much we can extend R as well as learning new packages. Add ... [Read more...]

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RProtoBuf provides R bindings for the Google Protocol Buffers ("ProtoBuf") data encoding and serialization library used and released by Google, and deployed fairly widely in numerous projects as a language and operating-system agnostic protocol. A new releases RProtoBuf 0.4.10 just appeared on CRAN. It is a maintenance releases replacing one leftover ... [Read more...]

Name: scatterplot Type: mchoice Description: Scatterplot in an (x, y) regression setup needs to be interpreted regarding location/spread of the marginal distributions, the correlation in the joint distribution, and the corresponding regression slope. Data are drawn randomly from a suitable data-generating process so that each multiple-choice item is either ... [Read more...]

Name: ttest Type: mchoice Description: Results of a 2-sample t.test() in R need to be interpreted regarding significance, type of alternative, and comparison of the underlying empirical means. Solution feedback: Yes Randomization: Random numbers, text blocks, and R output Mathematical notation: Yes Verbatim R input/output: Yes Images: No ... [Read more...]

Name: switzerland Type: mchoice Related: swisscapital Description: Knowledge quiz question (about Switzerland) with 2 correct and 3 false alternatives which are shuffled randomly in each version of the exercise. Solution feedback: Yes Randomization: Shuffling Mathematical notation: No Verbatim R input/output: No Images: No Other supplements: No Template: switzerland.Rnw switzerland.Rmd ... [Read more...]

Name: tstat2 Type: schoice Related: tstat Description: Computing the 1-sample t-test statistic from randomly-drawn hypothesized mean, sample size, and empirical mean and variance. The correct answer has to be selected from five choice items which have been added to the numeric version of the exercise linked above. Solution feedback: Yes ... [Read more...]

Name: swisscapital Type: schoice Related: switzerland Description: Knowledge quiz question (about the Swiss capital) with 1 correct and 6 false alternative. 4 out of the 6 false alternatives are sampled randomly and shuffled. Solution feedback: Yes Randomization: Shuffling (4 out of 6 false alternatives) Mathematical notation: No Verbatim R input/output: No Images: No Other supplements: ... [Read more...]

Name: tstat Type: num Related: tstat2 Description: Computing the 1-sample t-test statistic from randomly-drawn hypothesized mean, sample size, and empirical mean and variance. Solution feedback: Yes Randomization: Random numbers Mathematical notation: Yes Verbatim R input/output: No Images: No Other supplements: No Template: tstat.Rnw tstat.Rmd Raw: (1 random version) ... [Read more...]

Statistics are often taught in school by and for people who like Mathematics. As a consequence, in those class emphasis is put on leaning equations, solving calculus problems and creating mathematics models instead of building an intuition for probabilistic problems. But, if you read this, you know a bit of ... [Read more...]

Published: 2016-11-30 Updated: 2017-08-14 "Any bleeder knows that books are never finished, only abandoned." César A. Hidalgo About the book You can find the book here. In the last update we changed many parts of the code, doing a necessary t... [Read more...]

(General reminder abt “R⁶” posts in that they are heavy on code-examples, minimal on expository. I try to design them with 2-3 “nuggets” embedded for those who take the time to walk through the code examples on their systems. I’ll always provide further expository if requested in a comment, ... [Read more...]