2574 search results for "ggplot2"

Data Analysis Steps

February 3, 2014
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Data Analysis Steps

After going through the overview of tools & technologies needed to become a Data scientist in my previous blog post, in this post, we shall understand how to tackle a data analysis problem.Any data analysis project starts with identifying a business problem where historical data exists. A business problem can be anything which can include prediction...

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Picking a gui interface for R

February 3, 2014
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Recently I decided to switch statistical programs used introductory statistics course for masters students that I teach at the University of Arkansas. Historically this course has been taught with SPSS, but I am attempting the switch to R this semeste...

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Teaching a Class of Undergrads, RStudio Server, and My Ubuntu Machine

February 2, 2014
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Teaching a Class of Undergrads, RStudio Server, and My Ubuntu Machine

I was chatting about public speaking with my brother, who is a Lecturer in the Faculty of Pharmacy at UofT, when he offered me the opportunity to come to his class and teach about R.  Always eager to spread the … Continue reading →

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Bayesian analysis of sensory profiling data

February 2, 2014
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Bayesian analysis of sensory profiling data

I looked at Bayesian analysis of sensory profiling data in May and June 2012. I do remember not being totally happy with the result and computations taking a bit more time than I wanted. But now it is 2014, I can use STAN and I have been thinking about...

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New Geometry – Ternary Errorbars

February 2, 2014
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New Geometry – Ternary Errorbars

ggtern 1.0.3.1 has introduced a new series of geometries to represent known errors in data, they are relatively easy to use and are along the lines of the geom_errorbar(...) and geom_errorbarh(...) geometries in ggplot2. Analagous the errorbars in ggplot2, in ggtern, the new geometries are thus listed as follows: geom_errorbarT(…) [Tmin,… The post New...

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ggtern 1.0.3.1 on CRAN

February 1, 2014
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An update to ggtern, version 1.0.3.1, is now available on CRAN! This version includes a number of updates and functionality, which can be summarized below: Inclusion of USDA Soil Classification Data, accessed by: data(USDA) Creation of New geometries for ternary errorbars, ie, geom_errorbarT, geom_errorbarL and geom_errorbarR Creation of convenience functions (theme_showtitles and theme_hidetitles) for hiding… The post ggtern...

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Know India through Visualisations – 1

February 1, 2014
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Know India through Visualisations – 1

I'm going to produce just a couple of charts, a teaser of sorts in this post. In the forthcoming posts I'll dig deeper.I was amazed with the existing list of R packages to work with spatial data, without needing to get into much of the technical detail...

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ShareLaTeX now supports knitr

January 31, 2014
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ShareLaTeX (click here to register a free account) is a wonderful and reliable on-line editor for writing and compiling LaTeX documents “in the cloud” as well as working together in real-time (imagine Google Docs supporting LaTeX => you get ShareLaTeX).…Read more ›

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Comparing multiple (g)lm in one graph #rstats

January 29, 2014
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Comparing multiple (g)lm in one graph #rstats

It’s been a while since a user of my plotting-functions asked whether it would be possible to compare multiple (generalized) linear models in one graph (see comment). While it is already possible to compare multiple models as table output, I now managed to build a function that plots several (g)lm-objects in a single ggplot-graph. The

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Lies, Damn Lies, “Data Journalism” and Charts That Don’t Start at 0

January 28, 2014
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Lies, Damn Lies, “Data Journalism” and Charts That Don’t Start at 0

This tweet by @moorehn (who usually is a superb economic journalist) really bugged me: Alarming chart of employment for people between 25 and 54. It's like a ski jump. #SOTUecon pic.twitter.com/KNGYmwI88C— Heidi N. Moore (@moorehn) January 29, 2014 I grabbed the raw data from EPI: (http://www.epi.org/files/2012/data-swa/jobs-data/Employment%20to%20population%20ratio%20(EPOPs).xls) and properly started the graph at 0 for the

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