1653 search results for "ggplot2"

Estimate Probability and Quantile

January 25, 2011
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Simple root finding and one dimensional integrals algorithms were implemented in previous posts.These algorithms can be used to estimate the cumulative probabilities and quantiles.Here, take normal distribution as an example.Read More: 281 Words Totally

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Relationship Between SAT & College Retention

January 21, 2011
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Relationship Between SAT & College Retention

Here is a quick analysis of the relationship between SAT score and student retention. The data is from the Integrated Postsecondary Education Data System (IPEDS) and analyzed using R. This was a quick analysis and would be careful about making any strong conclusions. The source for running this analysis along with some additional graphics that

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40 Fascinating Blogs for the Ultimate Statistics Geek!

January 20, 2011
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I am happy to report that ByteMining is listed on “40 Fascinating Blogs for the Ultimate Statistics Geek“! Some of the ones that I frequently read, or are written by Twitter friends/followers (in no particular order):R-bloggers, an aggregate site containing blog posts tagged as posts about R. High quality content. Statistical modeling, causal inference and social science. This one is...

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R and Google Visualization API: Fish harvests

January 17, 2011
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R and Google Visualization API: Fish harvests

I recently gathered fish harvest data from the U.S. National Oceanic and Atmospheric Administarion (NOAA), which I downloaded from Infochimps. The data is fish harvest by weight and value, by species for 21 years, from 1985 to 2005. Here is a link to a google document of the data I used below: https://spreadsheets.google.com/ccc?key=0Aq6aW8n11tS_dFRySXQzYkppLXFaU2F5aC04d19ZS0E&hl=en################# Fish harvest data...

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In case you missed it: December Roundup

January 17, 2011
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In case you missed them, here are some articles from December of particular interest to R users. A Facebook employee created a beautiful visualization of social connections around the world, which made a lot of news on the Web. The creator, Paul Butler, explained how he did it using R. With sponsorship from Revolution Analytics, the R/Finance conference in...

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Parsing and plotting time series data

January 15, 2011
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Parsing and plotting time series data

This morning I came across a post which discusses the differences between scala, ruby and python when trying to analyse time series data. Essentially, there is a text file consisting of times in the format HH:MM and we want to get an idea of its distribution. Tom discusses how this would be a bit clunky

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Survival paper (update)

January 13, 2011
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Survival paper (update)

In a recent post, I discussed some  statistical consultancy I was involved with. I was quite proud of the nice ggplot2 graphics I had created. The graphs nicely summarised the main points of the paper: I’ve just had the proofs from the journal, and next to the graphs there is the following note: It is

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gnmplot

January 13, 2011
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gnmplot

I'm writing a new package that will create nice publication quality graphics of genome information. It's really an adaptor sitting between the biomaRt and ggplot2 packages. Here is the code so far:## this function integrates 3 steps to creating a g...

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prettyR

January 13, 2011
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I have just remembered a package called 'prettyR' that pretty much does what it says. It makes R code more readable.. so an example from my forthcoming genomeplot package (see forthcoming blog entry): ## this function integrates 3 steps to creat...

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Introducing the Lowry Plot

January 11, 2011
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Introducing the Lowry Plot

Here at the Health and Safety Laboratory* we’re big fans of physiologically-based pharmacokinetic (PBPK) models (say that 10 times fast) for predicting concentrations of chemicals around your body based upon an exposure. These models take the form of a big system of ODEs. Because they contain many equations and consequently many parameters (masses of organs

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