3147 search results for "ggplot"

What The Hell Is Pi Doing Here?

January 8, 2014
By
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

Read more »

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

January 7, 2014
By
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....

Read more »

ggtern 1.0.2.0 on CRAN

January 4, 2014
By

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Documentation Theme commands were brought back inline with the ggplot2 format, for example, theme_tern_bw() has been superceded by theme_bw() as per ggplot2 The default theme (theme_gray()) was modified… The post ggtern...

Read more »

Analyse your bank statements using R

January 4, 2014
By
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 →

Read more »

Calibration Affirmation

January 4, 2014
By
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...

Read more »

Forecasting By Combining Expert Opinion

January 3, 2014
By
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...

Read more »

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

January 2, 2014
By

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

Read more »

Comparing the #code2013 results with the current TIOBE rankings

January 2, 2014
By
Comparing the #code2013 results with the current TIOBE rankings

The TIOBE language rankings have always been controversial but in the absence of more meaningful metrics tends to be viewed as holy writ. Over the last few days of 2013 a hashtag was started by Twitter user @deadprogram called #code2013. The ...

Read more »

Pivoting Data in R Excel-style

January 2, 2014
By
Pivoting Data in R Excel-style

(This article is referring to an initial proof-of-concept version of r-big-pivot) I have to admit that I very much enjoy pivoting through data using Excel. Its pivoting tool is great for getting a quick insight into a data set’s structure … Continue reading → The post Pivoting Data in R Excel-style appeared first on joy...

Read more »

Generalized linear models for predicting rates

January 1, 2014
By
Generalized linear models for predicting rates

I often need to build a predictive model that estimates rates. The example of our age is: ad click through rates (how often a viewer clicks on an ad estimated as a function of the features of the ad and the viewer). Another timely example is estimating default rates of mortgages or credit cards. You Related posts:

Read more »

Sponsors

Mango solutions



RStudio homepage



Zero Inflated Models and Generalized Linear Mixed Models with R

Dommino data lab

Quantide: statistical consulting and training



http://www.eoda.de







ODSC

ODSC

CRC R books series





Six Sigma Online Training





Contact us if you wish to help support R-bloggers, and place your banner here.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)