2423 search results for "ggplot"

How Much Time to Conceive?

January 12, 2014
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How Much Time to Conceive?

This morning my wife presented me with a rather interesting statistic: a healthy couple has a 25% chance of conception every month , and that this should result in a 75% to 85% chance of conception after a year. This sounded rather interesting and it occurred to me that it really can’t be that simple.

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sjPlot 0.9 (data visualization package) now on CRAN #rstats

January 9, 2014
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sjPlot 0.9 (data visualization package) now on CRAN #rstats

Since version 0.8, my package for data visualization using ggplot has been released on the Comprehensive R Archive Network (CRAN), which means you can simply install the package with install.packages("sjPlot"). Last week, version 0.9 was released. Binaries are already available for OS X and Windows, and source code for Linux. Further updates will no longer

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User Request – Middle Segments

January 9, 2014
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User Request – Middle Segments

Recently, a user of ggtern was desirable to produce a plot similar to what can be found HERE. This is relatively simple, given the use of layers during plot construction. In ggplot2 (and hence ggtern), one can define a 'global' dataframe in the constructor, which gets picked up by each layer, UNLESS one states an… The post User...

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What The Hell Is Pi Doing Here?

January 8, 2014
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What The Hell Is Pi Doing Here?

Nothing in Nature is random … A thing appears random only through the incompleteness of our knowledge (Benedict Spinoza) This is one of my favorite mathematical mysteries. In 1991 David Boll was trying to confirm that the neck of the Mandelbrot Set is 0 in thickness. Neck is located at -0.75+0i (where two biggest circles

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Fast-track publishing using knitr: exporting images for sharing and press (part III)

January 7, 2014
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Fast-track publishing using knitr: exporting images for sharing and press (part III)

(This article was first published on G-Forge » R, and kindly contributed to R-bloggers) Images can be a powerful medium if used right. The image is CC by alemdag. Fast-track publishing using knitr is a short series on how I use knitr to speedup publishing in my research. This is the third article in the series devoted to plots....

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ggtern 1.0.2.0 on CRAN

January 4, 2014
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An update to ggtern, version 1.0.2.0, is now available on CRAN! This version includes a number of updates, and, additional functionality, which can be summarized below: Better Documentation Theme commands were brought back inline with the ggplot2 format, for example, theme_tern_bw() has been superceded by theme_bw() as per ggplot2 The default theme (theme_gray()) was modified… The post ggtern...

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Analyse your bank statements using R

January 4, 2014
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Analyse your bank statements using R

Online banking has made reviewing statements and transferring money more convenient than ever before, but most still rely on external methods for looking at their personal finances. However, many banks will happily give you access to long-term transaction logs, and … Continue reading →

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Calibration Affirmation

January 4, 2014
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Calibration Affirmation

In the book, we discuss the notion of a probability model being "well calibrated". There are many different mathematical techniques that classification models use to produce class probabilities. Some of values are "probability-like" in that they are between zero and one and sum to one. This doesn't necessarily mean that the probability estimates are consistent with the true event...

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Forecasting By Combining Expert Opinion

January 3, 2014
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Forecasting By Combining Expert Opinion

by Michael Helbraun Michael is member of Revolution Analytics Sales Support team. In the following post, he shows how to synthesize a probability distribution from the opinion of multiple experts: an excellent way to construct a Bayesian prior. There are lots of different ways to forecast. Depending on whether there’s historical data, trend, or seasonality you might choose to...

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Part 2: Make your R figures legible in Powerpoint/Keynote presentations

January 2, 2014
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In the previous post, I outlined some tips for increasing the size of figure labels for figures that are meant to be displayed on a projector. The previous post used the base R plot() function, but the procedure when plotting with ggplot2 is different and usually quite a bit simpler than the stock R plotting

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