# 1669 search results for "regression"

## Extracting Information From Objects Using Names()

March 17, 2013
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One of the big differences between a language like Stata compared to R is the ability in R to handle many different types of objects at once, and combine them together or pull them apart.  I had a post about objects last year, but I thought I'd sh...

## Happy St Patrick’s Day

March 17, 2013
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I love Saint Patrick’s Day for, at least, two reasons. The first one is that, on March 17th, you can play out loud The Pogues, the second one is that it’s the only day in the year when I really enjoy getting a Guiness in a pub. And Guiness is important in statistical science (I did mention a couple...

## New package for ensembling R models

March 13, 2013
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I've written a new R package called caretEnsemble for creating ensembles of caret models in R.  It currently works well for regression models, and I've written some preliminary support for binary classification models. At th...

## Distrust of R

March 12, 2013
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I guess I've been living in a bubble for a bit, but apparently there are a lot of people who still mistrust R. I got asked this week why I used R (and, specifically, the package rpart) to generate classification and regression trees instead of SAS Ente...

## R to Latex packages: Coverage

March 12, 2013
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There are now quite a few R packages to turn cross-tables and fitted models into nicely formatted latex. In a previous post I showed how to use one of them to display regression tables on the fly. In this post I summarise what types of R object each of the major packages can deal with.

## How to use optim in R

March 12, 2013
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A friend of mine asked me the other day how she could use the function optim in R to fit data. Of course there are functions for fitting data in R and I wrote about this earlier. However, she wanted to understand how to do this from scratch using optim. The function optim provides algorithms for general...

## Visualizing neural networks from the nnet package

March 4, 2013
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Neural networks have received a lot of attention for their abilities to ‘learn’ relationships among variables. They represent an innovative technique for model fitting that doesn’t rely on conventional assumptions necessary for standard models and they can also quite effectively handle multivariate response data. A neural network model is very similar to a non-linear regression

March 2, 2013
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About This BlogMy name is Isaac and I'm a Ph.D. student in Clinical Psychology. Why am I writing about fantasy football and data analysis? Because fantasy football involves the intersection of two things I love: sports and statistics. With this blog, I...

## Tools for making a paper

March 1, 2013
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Since it seems to be the fashion, here’s a post about how I make my academic papers. Actually, who am I trying to kid? This is also about how I make slides, letters, memos and “Back in 10 minutes” signs to pin on the door. Nevertheless it’s for making academic papers that I’m going to

## How to make a scientific result disappear

February 27, 2013
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$How to make a scientific result disappear$

Nathan Danneman (a co-author and one of my graduate students from Emory) recently sent me a New Yorker article from 2010 about the “decline effect,” the tendency for initially promising scientific results to get smaller upon replication. Wikipedia can summarize the phenomenon as well as I can: In his article, Lehrer gives several examples where