2951 search results for "ggplot"

Rforecastio Package Update (1.1.0)

May 4, 2014
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Rforecastio Package Update (1.1.0)

I’ve bumped up the version number of Rforecastio (github) to 1.1.0. The new features are: removing the SSL certificate bypass check (it doesn’t need it anymore) using plyr for easier conversion of JSON->data frame adding in a new daily forecast data frame roxygen2 inline documentation library(Rforecastio) library(ggplot2) library(plyr)   # NEVER put API keys in

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How much code have you written?

May 3, 2014
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How much code have you written?

This past week I attended the National Water Quality Monitoring Conference in Cincinnati. Aside from spending my time attending talks, workshops, and meeting like-minded individuals, I spent an unhealthy amount of time in the hotel bar working on this blog post. My past experiences mixing coding and beer have suggested the two don’t mix, but

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A clear picture of power and significance in A/B tests

May 3, 2014
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A clear picture of power and significance in A/B tests

A/B tests are one of the simplest reliable experimental designs. Controlled experiments embody the best scientific design for establishing a causal relationship between changes and their influence on user-observable behavior. “Practical guide to controlled experiments on the web: listen to your customers not to the HIPPO” Ron Kohavi, Randal M Henne, and Dan Sommerfield, Proceedings Related posts:

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Test coverage of the 10 most downloaded R packages

May 2, 2014
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Test coverage of the 10 most downloaded R packages

Test coverage of the 10 most downloaded R packages 2014-04-30 Source Introduction How do you know that your code is well tested ? The test coverage is the proportion of source code lines that are executed (covered) when running the tests. It is useful to find the parts of your code that are no exercised no matter how...

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Plotting Microtiter Plate Maps

May 1, 2014
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Plotting Microtiter Plate Maps

I recently wrote about my workflow for Analyzing Microbial Growth with R. Perhaps the most important part of that process is the plate map, which describes the different experimental variables and where they occur. In the example case, the plate map described which strain was growing and in which environment …

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Plotting Microtiter Plate Maps

May 1, 2014
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Plotting Microtiter Plate Maps

I recently wrote about my workflow for Analyzing Microbial Growth with R. Perhaps the most important part of that process is the plate map, which describes the different experimental variables and where they occur. In the example case, the plate map described which strain was growing and in which environment for each of the wells used in a...

Read more »

Plotting Microtiter Plate Maps

May 1, 2014
By
Plotting Microtiter Plate Maps

I recently wrote about my workflow for Analyzing Microbial Growth with R. Perhaps the most important part of that process is the plate map, which describes the different experimental variables and where they occur. In the example case, the plate map described which strain was growing and in which environment for each of the wells used in a...

Read more »

How to Code Something ‘New’ in R

May 1, 2014
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How to Code Something ‘New’ in R

Programming New Things I currently have been programming in R for more than half a decade and can now fondly look back on the days when I went on a spring break with Venables' little blue book (now out of print).  Back then I was entertained and wowed by R’s...

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Shiny variance inflation factor sandbox

April 30, 2014
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In multiple regression, strong correlation among covariates increases the uncertainty or variance in estimated regression coefficients. Variance inflation factors (VIFs) are one tool that has been used as an indicator of problematic covariate collinearity. In teaching students about VIFs, it may be useful to have some interactive supplementary material so that they can manipulate factors affecting the uncertainty in...

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Shiny variance inflation factor sandbox

April 30, 2014
By

In multiple regression, strong correlations among covariates increases the uncertainty or variance in estimated regression coefficients. Variance inflation factors (VIFs) are one tool that has been used as an indicator of problematic covariate collinearity. In teaching students about VIFs, it may be useful to have some interactive supplementary material so that they can manipulate factors affecting the uncertainty in slope terms...

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