2062 search results for "ggplot"

3D Plots with ggplot2 and Plotly

November 11, 2014
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3D Plots with ggplot2 and Plotly

by Matt Sundquist Plotly, co-founder Plotly is a platform for data analysis, graphing, and collaboration. You can use ggplot2, Plotly's R API, and Plotly's web app to make and share interactive plots. Now, you can you can also make 3D plots. Immediately below are a few examples of 3D plots. In this post we will show how to make...

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My Commonly Done ggplot2 graphs

October 30, 2014
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My Commonly Done ggplot2 graphs

In my last post, I discussed how ggplot2 is not always the answer to the question “How should I plot this” and that base graphics were still very useful. Why Do I use ggplot2 then? The overall question still remains: why (do I) use ggplot2? ggplot2 vs lattice For one, ggplot2 replaced the lattice package

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Visualizing (generalized) linear mixed effects models with ggplot #rstats #lme4

October 26, 2014
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Visualizing (generalized) linear mixed effects models with ggplot #rstats #lme4

In the past week, colleagues of mine and me started using the lme4-package to compute multi level models. This inspired me doing two new functions for visualizing random effects (as retrieved by ranef()) and fixed effects (as retrieved by fixed()) of (generalized) linear mixed effect models. The upcoming version of my sjPlot package will contain

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Overcoming D3 Cartographic Envy With R + ggplot

September 25, 2014
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Overcoming D3 Cartographic Envy With R + ggplot

When I used one of the Scotland TopoJSON files for a recent post, it really hit me just how much D3 cartography envy I had/have as an R user. Don’t get me wrong, I can conjure up D3 maps pretty well and the utility of an interactive map visualization goes without saying, but

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How to publish R and ggplot2 to the web

September 23, 2014
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How to publish R and ggplot2 to the web

by Matt Sundquist, Plotly Co-founder It's delightfully smooth to publish R code, plots, and presentations to the web. For example: Shiny makes interactive apps from R. Pretty R highlights R code for HTML. Slidify makes slides from R Markdown. Knitr and RPubs let you publish R Markdown docs. GitHub and devtools let you quickly release packages and collaborate. Now,...

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Charting/Mapping the Scottish Vote with R (an rvest/dplyr/tidyr/TopoJSON/ggplot tutorial)

September 20, 2014
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Charting/Mapping the Scottish Vote with R (an rvest/dplyr/tidyr/TopoJSON/ggplot tutorial)

The BBC did a pretty good job live tracking the Scotland secession vote, but I really didn’t like the color scheme they chose and decided to use the final tally site as the basis for another tutorial using the tools from the Hadleyverse and taking advantage of the fact that newer gdal libraries can read

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Using great circles and ggplot2 to map arrival/departure of 2014 US Open Tennis Players

September 17, 2014
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Using great circles and ggplot2 to map arrival/departure of 2014 US Open Tennis Players

Please click on the image for information on how to use R and ggplot2 to generate this plot. 

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Some love for ggplot2

August 25, 2014
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Some love for ggplot2

With all the recent buzz about ggvis (this, this, and this) it’s often easy to forget all that ggplot2 offers as a graphics package. True, ggplot is a static approach to graphing unlike ggvis but it has fundamentally changed the way we think about plots in R. I recently spent some time thinking about some

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Review of “Building interactive graphs with ggplot2 and shiny”

August 4, 2014
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Recently, Packt published a video course with the above title, and I've just spent a pleasant morning reviewing it on Packt's request. Pleasant, because I think the course gives an excellent introduction to both ggplot2 and shiny. The course is … Continue reading →

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Plot with ggplot2, interact, collaborate, and share online

July 31, 2014
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Plot with ggplot2, interact, collaborate, and share online

Editor’s note: This is a guest post by Marianne Corvellec from Plotly. This post is based on an interactive Notebook (click to view) she presented at the R User Conference on July 1st, 2014. Plotly is a platform for making, editing, and sharing graphs. If you are used to making plots with ggplot2, you can

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