1488 search results for "regression"

Example 8.32: The HistData package, sunflower plots, and getting data from R into SAS

March 29, 2011
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Example 8.32: The HistData package, sunflower plots, and getting data from R into SAS

This entry is mainly a promotion of the fascinating HistData R package. The package, compiled by the psychologist, statistician, and graphics innovator Michael Friendly, contains a number of small data sets of historical interest. These include data ...

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Time series

March 28, 2011
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Time series

(This post got published on The Statistics Forum yesterday.) The short book review section of the International Statistical Review sent me Raquel Prado’s and Mike West’s book, Time Series (Modeling, Computation, and Inference) to review. The current post is not about this specific book, but rather on why I am unsatisfied with the textbooks in

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R Tutorial Series: 2011 ANOVA Article Data

March 28, 2011
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R Tutorial Series: 2011 ANOVA Article Data

Having wrapped up a recent flurry of R ANOVA articles (and exhausted my knowledge of the subject), I decided to take a look at the R Tutorial Series' Google Analytics data from the past few months. Since I posted the Two-Way Omnibus ANOVA article on J...

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R Tutorial Series: 2011 ANOVA Article Data

March 28, 2011
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R Tutorial Series: 2011 ANOVA Article Data

Having wrapped up a recent flurry of R ANOVA articles (and exhausted my knowledge of the subject), I decided to take a look at the R Tutorial Series' Google Analytics data from the past few months. Since I posted the Two-Way Omnibus ANOVA article on J...

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The devil of overfitting

March 27, 2011
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The devil of overfitting

Overfitting is a problem when trying to predict financial returns.  Perhaps you’ve heard that before.  Some simple examples should clarify what overfitting is — and may surprise you. Polynomials Let’s suppose that the true expected return over a period of time is described by a polynomial. We can easily do this in R.  The first … Continue reading...

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clusterProfiler in Bioconductor 2.8

March 26, 2011
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In recently years, high-throughput experimental techniques such as microarray and mass spectrometry can identify many lists of genes and gene products. The most widely used strategy for high-throughput data analysis is to identify different gene clusters based on their expression profiles. Another commonly used approach is to annotate these genes to biological knowledge, such as Gene Ontology (GO) and...

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Predicting R models with PMML: Revolution R Enterprise and ADAPA

March 24, 2011
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The recently announced Revolution Analytics / Zementis partnership goes a long way towards demonstrating how R fits into big-league production environments. A frequent complaint against R is that although R is fine prototyping tool it is not able to handle production environments. Well, that’s just not true. In fact, it is straightforward to build a model in R, translate...

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The Many Uses of Q-Q Plots

The Many Uses of Q-Q Plots

My last four posts have dealt with boxplots and some useful variations on that theme.  Just after I finished the series, Tal Galili, who maintains the R-bloggers website, pointed me to a variant I hadn’t seen before.  It's called a bee...

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Applied R: Manual for the quantitative social scientist

March 23, 2011
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Applied R for the quantitative social scientist is a manual on R written specifically as an introduction for the quantitative social scientist. To my opinion, R-Project is a magnificent statistical program, ready to be accepted and implemented in the social sciences. The flexibility of this program and the way data are handled gives the user a sense of closeness...

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sab-R-metrics Sidetrack: Bubble Plots

March 22, 2011
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sab-R-metrics Sidetrack: Bubble Plots

While I had mentioned in my last post that I will cover logistic regression in my next post, I decided that a quick interlude in working with bubble plots would be fun. Bubble plots have become pretty popular recently, especially with all of the Visualization Challenges I've seen around the internet (by the way, I...

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