# 908 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 ...

## Near-zero variance predictors. Should we remove them?

March 6, 2014
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$Near-zero variance predictors. Should we remove them?$

Datasets come sometimes with predictors that take an unique value across samples. Such uninformative predictor is more common than you might think. This kind of predictor is not only non-informative, it can break some models you may want to fit to your data (see example below). Even more common is the presence of predictors that

## Forecasting weekly data

March 4, 2014
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This is another situation where Fourier terms are useful for handling the seasonality. Not only is the seasonal period rather long, it is non-integer (averaging 365.25/7 = 52.18). So ARIMA and ETS models do not tend to give good results, even with a period of 52 as an approximation. Regression with ARIMA errors The simplest approach is a regression...

## Intern/Researcher

March 4, 2014
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