# 1291 search results for "latex"

## No more ascii-art

January 24, 2013
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At least fourfive R packages will turn your regression models into pretty latex tables: texreg, xtable, apsrtable, memisc, and stargazer.  This is very nice if you happen to be a latex document or its final reader, but it’s not so great if you’re making those models to start with. What if you wanted to see

## Management of Research Data – a Shell+Python+Excel+R Approach

January 23, 2013
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I am a computer science researcher, usually working on both Windows and Linux system. Windows is the place where I do the document work, like reading paper, browsing the internet, writing papers with LaTex… Linux is where I run and generate experimental results. The Chaos After years of messy data management and recent data chaos,

## Binomial Confidence Intervals

January 22, 2013
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$Binomial Confidence Intervals$

This stems from a couple of binomial distribution projects I have been working on recently.  It’s widely known that there are many different flavors of confidence intervals for the binomial distribution.  The reason for this is that there is a coverage problem with these intervals (see Coverage Probability).  A 95% confidence interval isn’t always (actually

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

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

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

## 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

## R for actuarial science

January 10, 2013
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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...

## Install R in Ubuntu 12.04 Precise Pangolin

January 10, 2013
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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...

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

January 7, 2013
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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...

## Software Signals

January 7, 2013
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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...

## Monotonic deshrinking in weighted averaging models

January 5, 2013
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$Monotonic deshrinking in weighted averaging models$

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 →