In case you missed previous parts, the links to them are listed below. Part 1 Part 2 In this part, I tried to recreate the examples in section A.2.3 of the computational appendix in the reaction engineering book (by Rawlings and … Continue reading →

At least fourfive R packages will turn your regression models into pretty latex tables: texreg, xtable, apsrtable, memisc, and stargazer. This is very nice if you happen to be a latex document or its final reader, but it’s not so great if you’re making those models to start with. What if you wanted to see

I am a computer science researcher, usually working on both Windows and Linux system. Windows is the place where I do the document work, like reading paper, browsing the internet, writing papers with LaTex… Linux is where I run and generate experimental results. The Chaos After years of messy data management and recent data chaos,

This stems from a couple of binomial distribution projects I have been working on recently. It’s widely known that there are many different flavors of confidence intervals for the binomial distribution. The reason for this is that there is a coverage problem with these intervals (see Coverage Probability). A 95% confidence interval isn’t always (actually

Just like a lot of political science departments, here at Rice a group of faculty and students meet each week to discuss new research in political methodology. This week, we read a new symposium in Political Analysis about the pre-registration of studies in political science. To briefly summarize, several researchers argued that political scientists should

As mentioned in the Appendix of Modern Actuarial Risk Theory, “R (and S) is the ‘lingua franca’ of data analysis and statistical computing, used in academia, climate research, computer science, bioinformatics, pharmaceutical industry, customer analytics, data mining, finance and by some insurers. Apart from being stable, fast, always up-to-date and very versatile, the chief advantage of R is that...

R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. One of my main motivations to install R is Sweave. The Sweave is a literate programming language which integrates LaTeX and R code. The main idea of the Sweave is to combine data analysis code...

This a brief guide to using R in collaborative, social ways. R is a powerful open-source programming language for data analysis, statistics, and visualization, but much of its power derives from a large, engaged community of users. This is an introduction to tools for engaging the community to improve your R code and collaborate with others. (Am I...

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