2955 search results for "ggplot"

USDA Textural Soil Classification

January 15, 2014
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USDA Textural Soil Classification

Included in the next version (1.0.3.1) of ggtern, will be a new data set, taken from the USDA Textural Soil Classification which we can use to reproduce the original diagram published by the United Stated Department of Agriculture. Firstly let us load the packages and data: Reconstructing the USDA’s Original Plot Now let us construct… The post USDA...

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Why R is Better Than Excel for Fantasy Football (and most other) Data Analysis

January 13, 2014
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Many articles have been written on why R is better than Excel for data analysis.  In this post, I will summarize the reasons why R is advantageous in most data The post Why R is Better Than Excel for Fantasy Football (and most other) Data Analysis appeared first on Fantasy Football Analytics.

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Solving Quadratic Progams with R’s quadprog package

January 13, 2014
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Solving Quadratic Progams with R’s quadprog package

In this post, we'll explore a special type of nonlinear constrained optimization problems called quadratic programs. Quadratic programs appear in many practical applications, including portfolio optimization and in solving support vector machine (SVM) classification problems. There are several packages available to solve quadratic programs in R. Here, we'll work with the quadprog package. Before we dive...

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The Extra Step: Graphs for Communication versus Exploration

January 12, 2014
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The Extra Step: Graphs for Communication versus Exploration

Visualization is a useful tool for data exploration and statistical analysis, and it’s an important method for communicating your discoveries to others. While those two uses of visualization are related, they aren’t identical. One of the reasons that I like ggplot so much is that it excels at layering together multiple views and summaries of Related posts:

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Basic A/B Testing plots and stats with R

January 12, 2014
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Basic A/B Testing plots and stats with R

Have you used Google Analytics Content Experiments? I’ve been using it lately and the most useful thing is that all data are integrated into the API to do what you want to do except for the standard reports. So, you can get them into your favorite data analysis tool and get more things done. In ...read more

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Basic A/B Testing plots and stats with R

January 12, 2014
By
Basic A/B Testing plots and stats with R

Have you used Google Analytics Content Experiments? I’ve been using it lately and the most useful thing is that all data are integrated into the API to do what you want to do except for the standard reports. So, you can get them into your favorite data analysis tool and get more things done. In

Read more »

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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