The source code’s available on GitHub for those interested: https://github.com/QBRC/Resprirnate]]>
From the terminal:
sudo apt-get install r-cran-dev xorg-dev libglu1-mesa-dev
Then from R:
The first snag I hit was the following implying I was missing some necessary X code:
checking for X... no configure: error: X11 not found but required, configure aborted. ERROR: configuration failed for package ‘rgl’
You’ll need the `xorg-dev` package to get around this issue. I then hit an error regarding a `GL` library:
checking for X... libraries , headers checking GL/gl.h usability... no checking GL/gl.h presence... no checking for GL/gl.h... no checking GL/glu.h usability... no checking GL/glu.h presence... no checking for GL/glu.h... no configure: error: missing required header GL/gl.h ERROR: configuration failed for package ‘rgl’
A quick Google showed that the `libglu1-mesa-dev` package contained these headers. Once I had installed those package, the install process went smoothly!
Note, too, that there may be a precompiled package may be available for your distribution under the name r-cran-rgl. In my case, I needed a more recent version of the package than was offered there, hence this exploration.]]>
I’ve attached my modified version of the qTip library (based on v.1.0.0-rc3 — current at the time of writing) which solves these issues.
Here’s what I had to fix in order to make this compatible:
And that’s it! You should now be able to use qTip within WordPress.]]>
1. Use R 2.12 (under development, at the time of writing) and execute the following two commands:
2. Manually install the packages into older R version available here.
Sample data files are still available in the previous announcement.]]>
Photos #7, 8 taken by Dave Allen.
Complete paper available here: Genetic Engineering from a Christian Perspective (3279)]]>
The data is currently available in two formats, with a third in the works.
A MySQL database dump is available here: Public Keystroke Dynamics SQL (20845). The structure of the database is depicted in the figure to the left.
The same data is also available is a series of Comma-Separated-Value (CSV) files and can be downloaded here: Public Keystroke Dynamics CSV (9085). The same structure and relationships apply, though they’re obviously not enforced in CSV files.
The data was collected over a period of a few months in 2009-2010 on over 104 different users. “Extensive” data was collected on 7 of these users – who entered between 89 and 504 entries total.
The rest of the users just entered each password between 3 and 15 times to provide a substantial amount of “impostor” data on each password.
Three different passwords were tested to try to cover the range of different approaches in KD:
In total, 2,739 entries were collected — over 900 on each password.
Please feel free to use this dataset for any non-commercial purposes. I do ask that you let me know if you use this dataset and please use the following citation (for now):
Allen, Jeffrey D., An Analysis of Pressure-Based Keystroke Dynamics Algorithms, Computer Science and Engineering, Southern Methodist University, 2010.
If you’re interested in contributing more data (pressure-sensitive or not), please contact me as well; I’d love to incorporate more datasets into this one.
Another dataset is available at http://www.cs.cmu.edu/~keystroke/]]>