As already described previously, the main purpose of Release 6.0.1 Build 121512 is improved compatibility and stability between PDQ and the R statistical environment. For example, many of the PDQ models, previously found in the ../examples/ directory, can now also be accessed via the demo() command in the R-console. Testing was carried out using R version 2.15.2 (2012-10-26).
Operationally, PDQ, in any of the supported languages, should appear cosmetically the same as Release 5.0; no additional programming required. Since the PDQ-R source can be compiled separately, this release will be of special interest to Microsoft Windows users.
If you’re new to PDQ, here’s a simple PDQ-R model you can paste directly into the R-console:
<br />library(pdq)<br /># input parameters<br />arrivalRate <- 0.75<br />serviceRate <- 1.0<br />## Build and solve the PDQ model<br />Init("Single queue model") # initialize PDQ<br />CreateOpen("Work", arrivalRate) # open workflow<br />CreateNode("Server", CEN, FCFS) # single server<br />SetDemand("Server", "Work", 1/serviceRate) # service time<br />Solve(CANON) # solve the model<br />Report() # tabulated output<br />Please see the online release notes for the download links and more detailed information, as well as the top-level README file in the distribution. Beyond that, check out the relevant books and training classes.
Merry Xmas from the PDQ Dev Team!