2840 search results for "ggplot2"

May 30: 5th MilanoR meeting

May 19, 2014
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May 30: 5th MilanoR meeting

(Leggi la pagina in italiano) Dear R users and enthusiasts, MilanoR staff is happy to announce the next MilanoR meeting. The next MilanoR meeting will be on Friday 30 May, at 6 pm. The meeting will take place at: Fiori … Continue reading →

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May 30: 5th MilanoR meeting

May 19, 2014
By
May 30: 5th MilanoR meeting

(Not English-speaking? Leggi la pagina in italiano) Dear R users and enthusiasts, MilanoR staff is happy to announce the next MilanoR meeting. The next MilanoR meeting will be on Friday 30 May, at 6 pm. The meeting will take place … Continue reading →

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Shakespeare Is More Monkey-Friendly Than Cervantes

May 19, 2014
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Shakespeare Is More Monkey-Friendly Than Cervantes

Ford, there is an infinite number of monkeys outside who want to talk to us about this script for Hamlet they have worked out (from Episode 2 of The Hitchhiker’s Guide to the Galaxy by Douglas Adams) Some days ago I was talking with a friend about the infinite monkey theorem which is a funny

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R is short for SSIS

May 18, 2014
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R is Short for SSIS Data scientists often identify a need to join data from different, unlinked servers. One standard tool for accomplishing this is an SSIS package to consolidate the data onto one of the servers. For the analyst who wants to...

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Can We do Better than R-squared?

May 16, 2014
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Can We do Better than R-squared?

Blog post: R-squared can mislead us. Here are two related statistics for a better assessment of regression models.

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R has some sharp corners

May 15, 2014
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R has some sharp corners

R is definitely our first choice go-to analysis system. In our opinion you really shouldn’t use something else until you have an articulated reason (be it a need for larger data scale, different programming language, better data source integration, or something else). The advantages of R are numerous: Single integrated work environment. Powerful unified scripting/programming Related posts:

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Identifying periods of change in time series with GAMs

May 15, 2014
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Identifying periods of change in time series with GAMs

In previous posts (here and here) I looked at how generalized additive models (GAMs) can be used to model non-linear trends in time series data. In my previous post I extended the modelling approach to deal with seasonal data where we model both the within year (seasonal) and between year (trend) variation with separate smooth functions....

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Plotly and rOpenSci: Make ggplots shareable and interactive.

May 13, 2014
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Plotly and rOpenSci: Make ggplots shareable and interactive.

By Matt Sundquist Plotly's Co-Founder Here at Plotly, we are on a mission to build a platform where data scientists can analyze data, create beautiful graphs and collaborate: like a GitHub for data, where you can share and find plots, data, and code. The benefits are: Plots (including ggplot2 plots) are interactive and drawn with D3 (try zooming, panning,...

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Facebook teaches you exploratory data analysis with R

May 12, 2014
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Facebook is a company that deals with a lot of data — more than 500 terabytes a day — and R is widely used at Facebook to visualize and analyze that data. Applications of R at Facebook include user behaviour, content trends, human resources and even graphics for the IPO prospectus. Now, four R users at Facebook (Moira Burke,...

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Hazardous and Benign Space Objects: Orbits in the Solar-Ecliptic Reference Frame

May 12, 2014
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Hazardous and Benign Space Objects: Orbits in the Solar-Ecliptic Reference Frame

In two previous posts in this series I have wrangled NEO orbital data into R and then solved Kepler’s Equation to get the eccentric anomaly for each NEO. The final stage in the visualisation of the NEO orbits will be the transformation of locations from the respective orbital planes into a single reference frame. Reference

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