3743 search results for "gis"

Writing papers using R Markdown

Writing papers using R Markdown

Writing papers using R Markdown I have been watching the activity in RStudio and knitr for a while, and have even been using Rmd (R markdown) files in my own work as a way to easily provide commentary on an actual dataset analysis. Yihui has proposed writing papers in markdown and posting them to a blog as a way...

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Creating awesome reports for multiple audiences using knitrBootstrap

December 10, 2013
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Creating awesome reports for multiple audiences using knitrBootstrap

As a biostatistics student, I use R very frequently when analyzing data. At the same time, I interact with other researchers, some who know how to use R (R crowd) and some who don't (yet!): no-R crowd. This means that I have to be able to communicate my results to two crowds. It is important that I can quickly...

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The Tornado Project

December 9, 2013
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GoalBring consistency and transparency to the analyses of publicly available Tornado datasets using an R-based open source analysis.IssuesTornado data available from the NOAA Storm Prediction Center and other government agencies around the world h...

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Adobe Analytics Implementation Documentation in 60 seconds

December 9, 2013
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When I was working as a digital analytics consultant, no question quite had the ability to cause belly laughs AND angst as, “Can you send me an updated copy of your implementation documentation?” I saw companies that were spending six-or-seven-figures annually on their analytics infrastructure, multi-millions in salary for employees and yet the only way Adobe Analytics Implementation...

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Data mountains and streams – stacked area plots in R

December 9, 2013
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Data mountains and streams – stacked area plots in R

Below are two functions for producing stacked area plots. The first is the more typical approach where sequential series are stacked on top of another (function: plot.stacked), while the second approach is the more aesthetically-oriented version called...

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On the growth of R and Python for data science

December 6, 2013
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On the growth of R and Python for data science

A recent article by Matt Asay claims that "Python is displacing R as the language for data science". Python has certainly made some great strides in recent years, evolving beyond a data processing tool (an area where Python excels) to a data analysis tool. The Pandas project, in particular, has greatly expanded Python's ability to handle statistical data sets...

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Using R to Analyze Yahoo Fantasy Football Data

December 6, 2013
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Using R to Analyze Yahoo Fantasy Football Data

I recently created a gist that demonstrated how to authenticate with the Yahoo API, using the httr package. In this post, I will expand on this a little to downloading personal Yahoo fantasy football data and creating a graph showing my regular season ...

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New version of image.scale function

December 5, 2013
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New version of image.scale function

Below is an updated version of the image.scale function. In the old version, one had to constantly use additional arguments to suppress axes and their labels. The new version contains the additional arguments axis.pos (1, 2, 3, or 4) for defining the s...

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R – Analyze any data frame in Saiku

December 4, 2013
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R – Analyze any data frame in Saiku

In my previous article I have shown how R can be used to analyze PostgreSQL tables in Saiku using dynamically generated OLAP cubes. Today I will show you how you can analyze any R data frame in Saiku. WIth Saiku you can easily create excel-like pivot t...

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Using R to replicate common SPSS multiple regression output

December 4, 2013
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Using R to replicate common SPSS multiple regression output

(This article was first published on Jeromy Anglim's Blog: Psychology and Statistics, and kindly contributed to R-bloggers) The following post replicates some of the standard output you might get from a multiple regression analysis in SPSS. A copy of the code in RMarkdown format is available on github. The post was motivated by this previous post that discussed using...

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