1750 search results for "excel"

Maximizing Return from Every Item in the Marketing Research Questionnaire

December 3, 2013
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Maximizing Return from Every Item in the Marketing Research Questionnaire

Consumers will not complete long questionnaires, so marketing research must get the most it can from every item.  In this post, we look into the toolbox of R packages and search for statistical models that enable us to learn a great deal about eac...

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24 Days of R: Day 1

December 1, 2013
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24 Days of R: Day 1

Last year, the good people at is.R() spent December publishing an R advent calendar. This meant that for 24 days, every day, there was an interesting post featuring analysis and some excellent visualizations in R. I think it's an interesting (if very challenging) exercise and I'm going to try to do it myself this year.

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JAGS model Fe concentration in rainwater including values below detection level

December 1, 2013
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JAGS model Fe concentration in rainwater including values below detection level

In my previous post I ignored the fact that some data are below the detection level. I would not know how to handle those in a mixed model from lme4 or nlme. However, JAGS can handle these values. Next to that I kept the usual independent variables, su...

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More Explorations with catR

December 1, 2013
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More Explorations with catR

# For the purposes of simulating computerized adaptive tests# the R package catR is unparallelled. # catR is an excellent tool for students who are curious about# how a computerized adaptive test might work. It is also useful# for testing companie...

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Getting Started with Mixed Effect Models in R

November 25, 2013
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Getting Started with Multilevel Modeling in R Getting Started with Multilevel Modeling in R Jared E. Knowles Introduction Analysts dealing with grouped data and complex hierarchical structures in their data ranging from measurements nested within participants, to counties nested within states or students nested within classrooms often find themselves...

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Ranked Choice Voting

November 25, 2013
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Ranked Choice Voting

The city of Minneapolis recently elected a new mayor. This is not newsworthy in and of itself, however the method they used was—ranked choice voting. Ranked choice voting is a method of voting allowing voters to rank multiple candidates in order of preference. In … Continue reading →

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Book Review: Applied Predictive Modeling by Max Kuhn and Kjell Johnson

November 24, 2013
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This is a gem of a book.From the introduction: We intend this work to be a practitioner’s guide to the predictive modeling process and a place where one can come to learn about the approach and to gain intuition about the many commonly used and modern, powerful models. …it was our goal to be as hands-on as possible, enabling the readers...

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Double Box Plot package boxplotdbl 1.2.0 released

November 23, 2013
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Double Box Plot package boxplotdbl 1.2.0 released

This article describes changes from the first release on March 2013, including changes from the beta release of package boxplotdbl. New features Newly supported arguments: col COLOR.SHEER factor.labels draw.legend shading … Continue reading →

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Compiling R from source and why you shouldn’t do it

I’ve always thought that it’s silly, in most cases, source compiling software that’s already available in binary form. To the end of making more binary packages available to Mac users, I just started contributing to a project that is creating a repository of 64 bit builds of pkgsrc’s (NetBSD's portable package manager) over 12,000 packages. »more

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Dynasty Meets the Central Limit Theorem

November 20, 2013
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Dynasty Meets the Central Limit Theorem

There’s a classic probability problem/brainteaser popularized by google that states: In a country in which people only want boys, every family continues to have children until they have a boy. If they have a girl, they have another child. If they have a boy, they stop. What is the proportion of boys to girls in the country? It seems...

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