PDQ 6.0.1 is Released

December 18, 2012
By

[This article was first published on The Pith of Performance, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
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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:


library(pdq)
# input parameters
arrivalRate <- 0.75
serviceRate <- 1.0
## Build and solve the PDQ model
Init("Single queue model") # initialize PDQ
CreateOpen("Work", arrivalRate) # open workflow
CreateNode("Server", CEN, FCFS) # single server
SetDemand("Server", "Work", 1/serviceRate) # service time
Solve(CANON) # solve the model
Report() # tabulated output

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!

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