1265 search results for "excel"

Pathway Analysis for High-Throughput Genomics Studies

March 6, 2012
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Pathway Analysis for High-Throughput Genomics Studies

I get a lot of requests in the core about running a "pathway analysis." Someone ran a handful of gene expression arrays, or better yet, ran an RNA-seq experiment (with replicates!). These, and many other kinds of high-throughput assays (GWAS, ChIP-seq,...

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Interview: Patrick Burns Quantitative Finance in R

Interview: Patrick Burns Quantitative Finance in R

Dr. Patrick Burns is the founder of Burns Statistics, providing consulting and bespoke software specializing in quantitative finance, programming in the S language, and optimization via genetic algorithms and simulated annealing. Patrick has written m...

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Visualization series: Insight from Cleveland and Tufte on plotting numeric data by groups

March 4, 2012
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Visualization series: Insight from Cleveland and Tufte on plotting numeric data by groups

After my post on making dotplots with concise code using plyr and ggplot, I got an email from my dad who practices immigration law and runs a website with a variety of immigration resources and tools.  He pointed out that the … Continue reading →

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R versus Stata Redux

March 3, 2012
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I've used both R and Stata for a long time, but these days I use Stata much more frequently than R. While R is useful for some kinds of graphics (especially three-dimensional graphics) and some statistical procedures (for example, finite mixture models...

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R code for Chapter 1 of Non-Life Insurance Pricing with GLM

March 1, 2012
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R code for Chapter 1 of Non-Life Insurance Pricing with GLM

Insurance pricing is backwards and primitive, harking back to an era before computers. One standard (and good) textbook on the topic is Non-Life Insurance Pricing with Generalized Linear Models by Esbjorn Ohlsson and Born Johansson. We have been doing some work in this area recently. Needing a robust internal training course and documented methodology, we have...

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Bad Science at Strata 2012

March 1, 2012
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Ben Goldacre, the physician and biostatistician behind the always-excellent Bad Science column in the Guardian, gave a barnburner of a talk at Strata 2012 yesterday, "The Information Architecture of Medicine is Broken". For anyone not aware of the problems caused by publication bias in clinical trials (for example, ineffective drugs with a wide variety of side-effects coming to market),...

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Generation of correlated random numbers: recommended article

February 29, 2012
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Generation of correlated random numbers: recommended article

This quick blog entry to share an excellent article of Thijs van den Berg entitled Generating Correlated Random Numbers. This author describes in a nicely way how to generate sequences of correlated random numbers using the Cholesky decomposition, and a Eigenvector … Continue reading →

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A Direct Marketing In-flight Forecasting System

February 29, 2012
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A Direct Marketing In-flight Forecasting System

This is an edited version of A Direct Marketing In-flight Forecasting System. The original article was written by Shannon Terry and Ben Ogorekm, Nationwide Insurrance, in order to enter the “Applications of R in Business” contest organised by Revolution Analytics. This is the winning entry of the contest. I added some notes in the third

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Expanding Visualization of published system edges (R)

February 28, 2012
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Expanding Visualization of published system edges (R)

I happened to be looking over a revised text of a systems author I happen to follow. I will be a bit vague about specifics, as the system itself is based on well know ideas, but I'll leave the reader to research related systems.  The basic message...

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R integrated throughout the enterprise analytics stack

February 27, 2012
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The past couple of years have seen a dramatic growth in the use of the R language in the enterprise. R has always been pervasive in academia for research and teaching in statistics and data science, and as new graduates trained in R have migrated to the workplace the demand for R in corporations has become more and more...

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