1278 search results for "Latex"

In three months, I’ll be in Vegas (trying to win against the house)

April 20, 2013
By
In three months, I’ll be in Vegas (trying to win against the house)

In fact, I’m going there with my family and some friends, including two probabilists (I mean professionals, I am merely an amateur), with this incredible challenge: will I be able to convince  probabilists to go to play at the Casino? Actually, I also want to study them carefully, to understand how we should play optimally. For example, I hope...

Read more »

Le Monde puzzle [#817]

April 18, 2013
By
Le Monde puzzle [#817]

The weekly Le Monde puzzle is (again) a permutation problem that can be rephrased as follows: Find where denotes the set of permutations on {0,…,10} and is defined modulo 11 . Same question for and for This is rather straightforward to code if one adopts a brute-force approach:: (where I

Read more »

Math symbols in R charts: a cheat sheet

April 15, 2013
By
Math symbols in R charts: a cheat sheet

If you're creating a scientific graphic in the R language, there's a good chance you'll be wanting to include some mathematical symbols somewhere on the chart. You might want to use a symbol like μ as an axis label, annotate a curve with simple math like x2, or even put a complete equation like: in the title. You can...

Read more »

Simulating the Gambler’s Ruin

April 14, 2013
By
Simulating the Gambler’s Ruin

The gambler’s ruin problem is one where a player has a probability p of winning  and probability q of losing. For example let’s take a skill game where the player x can beat player y with probability 0.6 by getting closer to target. The game play begins with player x being allotted 5 points and player y allotted 10

Read more »

Checking the Goodness of Fit of the Poisson Distribution in R for Alpha Decay by Americium-241

Checking the Goodness of Fit of the Poisson Distribution in R for Alpha Decay by Americium-241

Introduction Today, I will discuss the alpha decay of americium-241 and use R to model the number of emissions from a real data set with the Poisson distribution.  I was especially intrigued in learning about the use of Am-241 in smoke detectors, and I will elaborate on this clever application.  I will then use the Pearson chi-squared

Read more »

knitr documents with tikzDevice graphics

April 13, 2013
By

Setting up tikzDevice output in knitr may be a frustrating task, but gives outstandingly aesthetic, LaTeX-like figures. Here are my global knitr settings for typesetting documents in Polish (in UTF-8, make sure your R also runs in a Unicode locale…Read more ›

Read more »

Configure Kile for knitr under GNU/Linux

April 13, 2013
By

Kile – a convenient LaTeX editor – may also be used to prepare knitr-generated reports. Here is how we may make our work much more efficient with a convenient compile-on-keypress feature. Create a bash script in your home directory, named…Read more ›

Read more »

Travis CI for R! (not yet)

April 12, 2013
By
Travis CI for R! (not yet)

A few days ago I wrote about Travis CI, and was wondering if we could integrate the testing of R packages into this wonderful platform. A reader (Vincent Arel-Bundock) pointed out in the comments that Travis was running Ubuntu that allows you to install software packages at your will. I took a look at the documentation, and realized...

Read more »

Reserving with negative increments in triangles

April 11, 2013
By
Reserving with negative increments in triangles

A few months ago, I did published a post on negative values in triangles, and how to deal with them, when using a Poisson regression (the post was published in French). The idea was to use a translation technique: Fit a model not on ‘s but on , for some , Use that model to make predictions, and then...

Read more »

High Obesity levels found among fat-tailed distributions

April 11, 2013
By
High Obesity levels found among fat-tailed distributions

In my never ending quest to find the perfect measure of tail fatness, I ran across this recent paper by Cooke, Nieboer, and Misiewicz. They created a measure called the “Obesity index.” Here’s how it works: Step 1: Sample four times from a distribution. The sample points should be independent and identically distributed (did your

Read more »

Sponsors

Mango solutions



RStudio homepage



Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training



http://www.eoda.de









ODSC

CRC R books series













Contact us if you wish to help support R-bloggers, and place your banner here.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)