2144 search results for "ggplot2"

The null model for age effects with overdispersed infection

June 12, 2013
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The null model for age effects with overdispersed infection

How does overdispersion of infections affect the behavior of the multiple-infection model? I redefine the model to account for overdispersion, assuming the same overdispersion occurs in both age classes. The parameter varies inversely with the degree of overdispersion. Again, the classes are demographically identical, and infection affects mortality but not growth: \[\begin{aligned} \frac{dJ}{dt}...

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Mini-tutorial for Quandl: How to access financial data with R

June 12, 2013
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Mini-tutorial for Quandl: How to access financial data with R

by Joseph Rickert Quandl.com, the open source website for financial data, made rapid progress earlier this year in becoming an R friendly source for financial time series data. Tammer Kamel, Quandl’s founder introduced the site on Revolutions blog in late February as a “search engine” for numerical data and explained how Quandl’s “Q-bot” can take data from almost any...

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Using Quandl in R

June 12, 2013
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Using Quandl in R

Image by Jan Zander Our mantra here at Quandl is making data easy to find and easy to use. Following that goal we (and subsequently the community) have created packages that integrate Quandl’s API into a number of software platforms. Today we’ll take a look at R. R is a free statistical computing language created

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Plotting average read and write operation size by ASM disk for Oracle

June 12, 2013
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Plotting average read and write operation size by ASM disk for Oracle

  Throughput, throughput, throughput – for many databases, this is the performance measure of importance.  When you are working with a fixed number of IOPS but see mixed workload types, system health can be assessed through the average read and…Read more ›

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Survey on R and education

June 12, 2013
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Survey on R and education

Main takeaways from the survey on R in education There is a need to train students in R since large majority of respondents (using R professionally) expect its market share to further increase. Large interest from both academics and students in online interactive R and statistics courses. Highest interest in free courses and only small

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A Null Model for Age Effects in Disease with Multiple Infections

June 11, 2013
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A Null Model for Age Effects in Disease with Multiple Infections

Here’s a little thought exercise I did that has caused me to go back and restart my Sudden Oak Death modeling in a new framework. Feedback welcome. I’m especially interested in relevant literature – I haven’t found many good examples of macroparasite/multiple infection models with age structure. Introduction Cobb et al. (2012) develop two models of forest stand demography...

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Finally! Tracking CRAN packages downloads

June 11, 2013
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Finally! Tracking CRAN packages downloads

The guys from RStudio now provide CRAN download logs (see also this blog post). Great work! I always asked myself, how many people actually download my packages. Now I finally can

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Better Neighborhoods with R: Exploring and Analyzing SeeClickFix Data (part 1)

June 9, 2013
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Better Neighborhoods with R: Exploring and Analyzing SeeClickFix Data (part 1)

Better Neighborhoods with R: Exploring and Analyzing SeeClickFix Data (part 1) The ‎ National Day of Civic Hacking took place …Continue reading »

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Intro to Parallel Random Number Generation with RevoScaleR

June 6, 2013
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Intro to Parallel Random Number Generation with RevoScaleR

by Joseph Rickert Random number generation is fundamental to doing computational statistics. As you might expect, R is very rich in random number resources. The R base code provides several high quality random number generators including: Wichmann-Hill, Marsaglia-Multicarry, Super-Duper, Mersenne-Twister, Knuth-TAOCP-2002 and L’Ecuyer-CMRG. (See Random for details.) And, there are at least three packages, rspring, rlecuyer, and rstream for...

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Major League Baseball run scoring trends with R’s Lahman package

June 4, 2013
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Major League Baseball run scoring trends with R’s Lahman package

The statistical software R has an ever-expanding array of packages that provide pre-programmed functions and datasets. One such package is named Lahman, bundling the contents of the Lahman database into a quick-and-easy resource for R users. In addition to the data tables, the package resources also contain a variety of analyses and graphics undertaken using...

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