The first post (found here) we downloaded the data and imported it to R using the gdata package. This post we will be changing the column names to make them more reasonable, and adding a quarter variable. The reason for changing the column names is bec...
855 search results for "excel"
Spring Cleaning Data: 1of 6- Downloading the Data & Opening Excel Files
With spring in the air, I thought it would be fun to do a series on (spring) cleaning data. The posts will follow my efforts to to download the data, import into R, cleaned it up, merge the different files, add columns of information created, and then ...
Starting Analysis and Visualisation of Spatial Data with R
Last week I ran an introductory workshop on the analysis and visualisation of spatial data with R. The software has become established as one of the best around for statistics and it is becoming increasingly recognised as a tool for data visualisation (I wrote about this last year, also see here) and spatial analysis. Interest in R ...
Travis CI for R?
I'm always worried about CRAN: a system maintained by FTP and emails from real humans (basically one of Uwe, Kurt or Prof Ripley). I'm worried for two reasons: the number of R packages is growing exponentially; time and time again I see frustrations ...
Import/Export data to and from xlsx files
As Ive already written, getting data into R from your precious xlsx files is really handy. No need to clutter up your computer with txt or csv files. The previous post I wrote about the gdata package for importing data from xlsx files and was pointed to, among others, the xlsx package. xlsx seems to 
Demographic analysis using the `popbio` library and some other fun stuff
(This article was first published on Noam Ross - R, and kindly contributed to R-bloggers) This week at the Davis R Users’ Group we had a great presentation by Kara Moore O’Leary on using the popbio package to examine rare plant demographics. The following is her script run through knitr. You can download the original script and associated data...
An Introduction to SAS for R Programmers
by Joseph Rickert Life decisions are usually much too complicated to be attributed to any single cause, but one important reason that I am here at Revolution today is that I ignored suggestions from well-meaning faculty back in graduate school to work more in SAS rather than doing everything in R. There was a heavy emphasis on SAS then:...
List of Bioinformatics Workshops and Training Resources
I frequently get asked to recommend workshops or online learning resources for bioinformatics, genomics, statistics, and programming. I compiled a list of both online learning resources and in-person workshops (preferentially highlighting those where workshop materials are freely available online):
List of Bioinformatics Workshops and Training Resources
I hope to keep the page above as up-to-date as possible....
CFP: the 11th Australasian Data Mining Conference (AusDM 2013), submission due 15 July
********************************************************************* The 11th Australasian Data Mining Conference (AusDM 2013) Canberra, Australia, 13-15 November 2013, http://ausdm13.togaware.com Join us on LinkedIn: http://www.linkedin.com/groups/AusDM-4907891 ********************************************************************* Data mining, the art and science of intelligent analysis of (usually large) data sets for meaningful (and previously unknown) … Continue reading →
Revisiting MPs’ Expenses
I couldn’t but notice the chatter about Iain Duncan Smith claiming he’d have no problem “living on 53 pounds a dayweek“, which made me wonder not only how many meal catered events he attends each week (and how many of his scheduled meeting also have complementary tea and biscuits (a bellweather of the extent of 
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
