1115 search results for "LaTeX"

How much can we learn from an empirical result? A Bayesian approach to power analysis and the implications for pre-registration.

January 18, 2013
By
How much can we learn from an empirical result? A Bayesian approach to power analysis and the implications for pre-registration.

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

Read more »

R for actuarial science

January 10, 2013
By
R for actuarial science

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...

Read more »

Install R in Ubuntu 12.04 Precise Pangolin

January 10, 2013
By

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...

Read more »

Don’t R alone! A guide to tools for collaboration with R

January 7, 2013
By
Don’t R alone! A guide to tools for collaboration with R

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...

Read more »

Software Signals

January 7, 2013
By
Software Signals

This blog post by Sean Taylor generated quite a stir. He discussed the signals one sends by using certain software packages and seems to think that R users are more competent. The reactions ranged from amusement to bashing. In defense of hard to learn statistical tools, i.e. #rstats prsm.tc/gyTBRK <- pretty funny 'who uses what I encourage you...

Read more »

Monotonic deshrinking in weighted averaging models

January 5, 2013
By
Monotonic deshrinking in weighted averaging models

Weighted averaging regression and calibration is the most widely used method for developing a palaeolimnological transfer function. Such models are used to reconstruct properties of the past lake environment such as pH, total phosphorus, and water temperature with, it has … Continue reading →

Read more »

100 most read R posts in 2012 (stats from R-bloggers) – big data, visualization, data manipulation, and other languages

January 2, 2013
By
100 most read R posts in 2012 (stats from R-bloggers) – big data, visualization, data manipulation, and other languages

R-bloggers.com is now three years young. The site is an (unofficial) online journal of the R statistical programming environment, written by bloggers who agreed to contribute their R articles to the site. Last year, I posted on the top 24...

Read more »

R Markdown to other document formats

December 26, 2012
By

Perhaps you have a file written in Markdown with embedded R of the kind that RStudio makes so nice and easy but you’d like a range of output formats to keep your collaborators happy.  Say latex, pdf, html and MS Word.  Here’s what you might do I shall imagine your file is called doc.Rmd Install pandoc

Read more »

Generating a non-homogeneous Poisson process

December 21, 2012
By
Generating a non-homogeneous Poisson process

Consider a Poisson process , with non-homogeneous intensity . Here, we consider a deterministic function, not a stochastic intensity. Define the cumulated intensity in the sense that the number of events that occurred between time  and  is a random variable that is Poisson distributed with parameter  . For example, consider here a cyclical Poisson process, with intensity lambda=function(x) 100*(sin(x*pi)+1) To compute...

Read more »

Y2K38: Our Own Mayan Calendar…Again

December 21, 2012
By
Y2K38: Our Own Mayan Calendar…Again

It’s not quite the end of the world as we know it.  We made it through December 21, 2012 unscathed. It’s not going to be the last time we will make it through such a pseudo-calamity.  After all we have built our own end of the world before (e.g. Y2K). Next up January 19, 2038.

Read more »