Are you an RPI undergraduate interested in joining our lab? Contact Dr. Wayne D. Gray or Dr. Michael J. Schoelles.
R functions you should know about!
This list will be continually updated!
- aggregate
- Splits the data into subsets, computes summary statistics for each, and returns the result in a convenient form
- rle
- Compute the lengths and values of runs of equal values in a vector
- unlist
- simplifies a list structure to produce a vector which contains all atomic components
- ifelse
- a ternary like operation
- nrow
- returns the number of rows
- split
- divides the data in a vector into groups
A true Human Factors pioneer in action...


YouTube Video
Clearly beyond the days of covered wagons, but in the mid 1960's pioneering research was being conducted on the attentional demands of automobile driving.
An Online Database of ACT-R Parameters
[Wong, T. J., Cokely, E. T., & Schooler, L. J. (2010). An online database of ACT-R parameters: Towards a transparent community-based approach to model development. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 282-286). Philadelphia, PA: Drexel University.]
The database can be accessed through the URL:
http://www-abc.mpib-berlin.mpg.de/actrdb/
Internet-interface of this database was tested and should work with the latest versions of most of the popular browsers, such as Firefox 3+, Safari 4, Internet Explorer 8+, and Opera.
It provides information of ACT-R parameters and serves four basic functions:
1. Monitoring how frequently parameters are modified.
2. Obtaining parameter means, medians and distributions.
3. Searching the keyword descriptions of ACT-R studies in the database.
4. Collecting fields of study and other information related to ACT-R parameter estimations.
Web experiment open to general public
RPI's IRB has approved our lab's first web experiment that is open to the general public. If you are not an RPI undergraduate and would like to participate, we welcome you to click below! If you are an RPI student and would like credit for participating, please go through Experimetrix.


