1266 search results for "tutorial"

Automatic Notice When Vacancy Available

February 26, 2013
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Today, I visited a webpage inadvertently and found several job positions that I am competent with, unfortunately all of them has expired. How many chances we lost in this way?! So I decide to do somthing to limit this kind of loss, and of course using our smart R! The idea is simple: check the job vacancy webpages reguarly, if...

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R Bootcamp Materials!

February 24, 2013
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R Bootcamp Materials!

Learn about ColoRs in R!Analyze model results with custom functions.Good and Bad GraphicsTo train new employees at the Wisconsin Department of Public Instruction, I have developed a 2-3 day series of training modules on how to get work done in R. These...

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the BUGS Book [guest post]

February 24, 2013
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the BUGS Book [guest post]

(My colleague Jean-Louis Fouley, now at I3M, Montpellier, kindly agreed to write a review on the BUGS book for CHANCE. Here is the review, en avant-première! Watch out, it is fairly long and exhaustive! References will be available in the published version. The additions of book covers with BUGS in the title and of the corresponding

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Dynamic community occupancy modeling with R and JAGS

February 24, 2013
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Dynamic community occupancy modeling with R and JAGS

This post is intended to provide a simple example of how to construct and make inferences on a multi-species multi-year occupancy model using R, JAGS, and the ‘rjags’ package. This is not intended to be a standalone tutorial on dynamic community occupancy modeling. Useful primary literature references include MacKenzie et al. (2002), Kery and Royle (2007), Royle and Kery...

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Multi-species dynamic occupancy model with R and JAGS

February 24, 2013
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Multi-species dynamic occupancy model with R and JAGS

This post is intended to provide a simple example of how to construct and make inferences on a multi-species multi-year occupancy model using R, JAGS, and the ‘rjags’ package. This is not intended to be a standalone tutorial on dynamic community occupancy modeling. Useful primary literature references include MacKenzie et al. (2002), Kery and Royle (2007), Royle and Kery...

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Getting Help with R Programming: Useful Survival Skills

Getting Help with R Programming: Useful Survival Skills

Useful Resources to Learn about R on the Internet When I program in R and struggle with something, the first thing that I usually turn to is Google.  I search the relevant function or the desired outcome, and I often find the solutions within the first few hits.  They likely show up in the documentation,

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from OTU table to HEATMAP!

February 23, 2013
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from OTU table to HEATMAP!

In this tutorial you will learn: what is a heatmap how to create a clean, highly customizable heatmap using heatmap.2 in the gplots package in R how to remove samples with poor output (not very many sequences) how to rearrange your samples by a metadata category how to make a color coded bar above the heatmap

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Shiny 0.4.0 now available

February 22, 2013
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Shiny 0.4.0 now available

Shiny version 0.4.0 is now available on CRAN. The most visible change is that the API has been slightly simplified. Your existing code will continue to work, although Shiny will print messages about how to migrate your code. Migration should be straightforward, as described below. It will take a bit of work to switch to

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Migrating from SPSS to R #rstats

February 22, 2013
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Migrating from SPSS to R #rstats

Preface I will every now and then post my experience with R, a package for statistical analyses. I try to show some solutions for common types of analyses or problems you are facing when you start working with R. These … Weiterlesen →

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Plot ranges of data in R

February 21, 2013
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Plot ranges of data in R

How to control the limits of data values in R plots. R has multiple graphics engines.  Here we will talk about the base graphics and the ggplot2 package. We’ll create a bit of data to use in the examples: one2ten <- 1:10 ggplot2 demands that you have a data frame: ggdat <- data.frame(first=one2ten, second=one2ten) Seriously The post Plot...

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