# 1290 search results for "LateX"

## Learning R: Parameter Fitting for Models Involving Differential Equations

June 30, 2013
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$Learning R: Parameter Fitting for Models Involving Differential Equations$

It looks like MATLAB, Octave and Python seem to be the preferred tools for scientific and engineering analysis (especially those involving physical models with differential equations). However as part of my learning R experience, I wanted to check out some … Continue reading →

## R snippets for vim-SnipMate

June 26, 2013
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Vim is my editor of choice, reasonable so, whether it be for coding C++, LaTeX or even R. I’ve used RStudio, which even has a Vim-Mode, but I still prefer to use Vim. Vim has it’s own R plugin, namely Vim-R-plugin, but this post is about snippets. SnipMate is an awesome auto-completion plugin for Vim The post R...

## Exploratory Data Analysis: 2 Ways of Plotting Empirical Cumulative Distribution Functions in R

$Exploratory Data Analysis: 2 Ways of Plotting Empirical Cumulative Distribution Functions in R$

Introduction Continuing my recent series on exploratory data analysis (EDA), and following up on the last post on the conceptual foundations of empirical cumulative distribution functions (CDFs), this post shows how to plot them in R.  (Previous posts in this series on EDA include descriptive statistics, box plots, kernel density estimation, and violin plots.) I

## Exploratory Data Analysis: Conceptual Foundations of Empirical Cumulative Distribution Functions

Introduction Continuing my recent series on exploratory data analysis (EDA), this post focuses on the conceptual foundations of empirical cumulative distribution functions (CDFs); in a separate post, I will show how to plot them in R.  (Previous posts in this series include descriptive statistics, box plots, kernel density estimation, and violin plots.) To give you

## FuzzyNumbers-0.3-1 released

June 23, 2013
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A new version of the FuzzyNumbers package for R has just been submitted to the CRAN archive. Check out our step-by-step tutorial. ** FuzzyNumbers Package CHANGELOG ** ********************************************************************* 0.3-1 /2013-06-23/ * piecewiseLinearApproximation() - general case (any knot.n) for method="NearestEuclidean" now…Read more ›

## Printing R help files in the console or in knitr documents

June 18, 2013
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Yesterday, I was creating a knitr document based on a script, and was looking for a way to include content from an R help file. The script, which was a teaching document, had a help() command for when the author wanted to refer readers to R documentation. I wanted that text in my final document, though. There’s no...

## Model Selection in Bayesian Linear Regression

June 17, 2013
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$Model Selection in Bayesian Linear Regression$

Previously I wrote about performing polynomial regression and also about calculating marginal likelihoods. The data in the former and the calculations of the latter will be used here to exemplify model selection. Consider data generated by and suppose we wish to fit a polynomial of degree 3 to the data. There are then 4 regression The post Model...

## The equivalence of the ellipsis argument and an infinite set of closures

June 14, 2013
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$The equivalence of the ellipsis argument and an infinite set of closures$

This post is about a practical application of a topic I discuss in my book. In my book, I prove …Continue reading »

## Top 100 R packages for 2013 (Jan-May)!

June 13, 2013
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(This article was first published on R-statistics blog » RR-statistics blog, and kindly contributed to R-bloggers) What are the top 100 (most downloaded) R packages in 2013? Thanks to the recent release of RStudio of their “0-cloud” CRAN log files (but without including downloads from the primary CRAN mirror or any of the 88 other CRAN mirrors), we can now answer this question...

## The null model for age effects with overdispersed infection

June 12, 2013
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$\inline k$

How does overdispersion of infections affect the behavior of the multiple-infection model? I redefine the model to account for overdispersion, assuming the same overdispersion occurs in both age classes. The parameter varies inversely with the degree of overdispersion. Again, the classes are demographically identical, and infection affects mortality but not growth: \[\begin{aligned} \frac{dJ}{dt}...