# 1060 search results for "LaTeX"

## LaTeX and Sweave

December 1, 2009
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LaTeX is a typesetting language that is known for its beautiful mathematical formulas. It is similar to HTML in that you write your document in plain text and process (or compile) it to create a postscript or PDF file. You will need to download a LaTeX processor for your platform. On Windows, TeXnicCenter (http://www.texniccenter.org/) is

## Seminar: Reproducible Research with R, LaTeX, & Sweave

November 16, 2009
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Theresa Scott, instructor of the previously mentioned R workshop and weekly R clinic, is giving a lecture entitled "Reproducible Research with R, LaTeX, & Sweave" in MRB III, room 1220, this Wednesday 11/18 at 1:30.  You can see more details about the lecture here. Looks like her slides as well as much more introductory material on R, Latex, and Sweave...

## Using doc-view with auto-revert to view LaTeX PDF output in Emacs

October 3, 2009
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$Using doc-view with auto-revert to view LaTeX PDF output in Emacs$

When I am authoring a document in Emacs, such as a report or my CV, it is useful for me to compile the source file periodically to see what the resulting file PDF looks like. I used to run a separate PDF viewer to look at the output, but I now have a complete Emacs

## R: Function to create tables in LaTex or Lyx to display regression model results

June 19, 2009
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Most people using LaTex feel that creating tables is no fun. Some days ago I stumbled across a neat function written by Paul Johnson that produces LaTex code as well as LaTex code that can be used within Lyx. The output can be used for regression models and looks like output from the Stata outreg

## Combining R and LaTeX with Sweave

January 6, 2009
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Today I did some experiments to learn how to combine R and LaTeX to create reproducible research reports. Here are my first results:First Demo ...

## Combining R and LaTeX with Sweave

January 6, 2009
By

Today I did some experiments to learn how to combine R and LaTeX to create reproducible research reports. Here are my first results:First Demo ...

## stringdist 0.9: exercise all your cores

January 26, 2015
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The latest release of the stringdist package for approximate text matching has two performance-enhancing novelties. First of all, encoding conversion got a lot faster since this is now done from C rather than from R. Secondly, stringdist now employs multithreading … Continue reading →

## Comparing the contribution of NBA draft picks

January 25, 2015
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When it comes to the NBA draft, experts tend to argue about a number of things: at which position will a player be selected? what is the best draft class ever? etc… Luckily, the wealth of data made available by the great people of http://www.basketball-reference.com/draft/ make it possible to address a number of these, and other questions. To…

## Introducing: Orthogonal Nonlinear Least-Squares Regression in R

January 17, 2015
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$Introducing: Orthogonal Nonlinear Least-Squares Regression in R$

With this post I want to introduce my newly bred ‘onls’ package which conducts Orthogonal Nonlinear Least-Squares Regression (ONLS): http://cran.r-project.org/web/packages/onls/index.html. Orthogonal nonlinear least squares (ONLS) is a not so frequently applied and maybe overlooked regression technique that comes into question when one encounters an “error in variables” problem. While classical nonlinear least squares (NLS) aims

## simulation by inverse cdf

January 13, 2015
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$simulation by inverse cdf$

Another Cross Validated forum question that led me to an interesting (?) reconsideration of certitudes! When simulating from a normal distribution, is Box-Muller algorithm better or worse than using the inverse cdf transform? My first reaction was to state that Box-Muller was exact while the inverse cdf relied on the coding of the inverse cdf, like