We've written about BIG data before and while some reckon it's sexy, you better roll up your sleeves because you'll invariably need to do a lot of 'janitorial' (a.k.a. shit) work first!
Ron Sandland recently wrote about the new phenomenon of 'big data' - weighing up the benefits and concerns. Terry Speed reflected on the same issue in a talk earlier this year inGothenburg, Sweeden noting that this is nothing new to statisticians. So what's all the fuss about? Here's another take on the 'big data' bandwagon.
If you are using WINZIP to extract: Please preserve the directory structure when you EXTRACT the files. You do this by checking the 'Use folder names' box in the EXTRACT dialog box as shown below:
If you do not have WINZIP installed, you should be able to double click the downloaded file and drag and drop the folder in the root directory of your hard disk drive.
After EXTRACTing the files, check to see that they've been placed in a directory called\Environmetrics\Ordination.
R Reference Manual - pdf (10.03 Mb) -
We suggest you only download this if you really want the complete documentation on R. It's over 3,000 pages!!
3. Download and Install R
Watch the video first - note, video has no audio.
New Installation Important - this process requires that you have an internet connection
Click on one of the links below to download the software. For
Windows users, simply double-click or open up the downloaded EXE file to install. For
Mac users, the file is an Installer package which can be installed by double-clicking. Depending on your browser, you may need to press the control key and click on this link to download the file. For
Linux users - sorry, you're on your own!
Invoke an R session by double-clicking the R icon that should be present on your desktop.
Copy this command, paste it in your R session window and press return / enter
source("http://goo.gl/eIb7b4") 5. Download and Install Text Editor (optional but recommended)
There are numerous (free) text editors available and you should feel free to use whatever suits you best. However, we have found
Notepad++ to be a simple, yet powerful text editor. Whichever editor you decide to use, we strongly recommend that it can recognise different programming languages (including R of course!). The advantage of this is that your code will automatically be coloured dependenig on what it is. For example, functions are shown in purple while comments are green. Notepadd++ is only available for Windows. We understand the Mac program
TextWrangler is a good alternative although we have no experience with it. Click on the appropriate link below to start the download process:
The course is a hybrid of lecture/tutorial style instruction and hands-on learning.
The timings in the schedule below should be regarded as approximate only.
Topics may be expanded, collapsed, or skipped depending on the needs of the class and level of comfort with the R software.
The first day will be more instruction based as you are introduced to R and its capabilities.
The second day is basically a 'doing' day with considerable time allocated to using R to work through a series of exercises.
The last day covers a number of important ordination modelling techniques and will be introduced via an interactive 'follow-me' approach using the R packages
vegan and
labDSV.
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