PDQ (Pretty Damn Quick)\Software Distribution

PDQ (Pretty Damn Quick)
Software Distribution

What is PDQ and where can I learn to use it?

Current Distribution

Version:       7.0.0
Build:       112420
Languages:       R, C, (Python deferred), Legacy: Perl, Java, and PHP
Platforms:       Linux, macOS, and Windows (Legacy: Solaris)
Maintainers:       Neil Gunther,
Contributors:       Denny Chen, Phil Feller, Peter Harding, Paul Puglia, Sam Zallocco

Contents

1  Version 7.0.0
    1.1  Partitioning
    1.2  LANGUAGE: R Installation
        1.2.1  OPERATING SYSTEM: Linux, macOS, Unix
        1.2.2  OPERATING SYSTEM: Windows

1  Version 7.0.0

The previous release was 6.2.0, build 082015 of 2015. That release can still be downloaded from SourceForge.
The key new features in PDQ Version 7 ( download links are below ) are:
  1. The introduction of STREAMING solution method for OPEN queueing networks. (cf. CANON, which can still be used).
  2. The CreateMultiNode() function is now defined for CLOSED queueing networks and distinguished via the MSC device type (cf. MSO for OPEN networks).
  3. The format of Report() has been modified to make the various types of queueing network parameters clearer.
  4. See the R Help pages in RStudio for details.
  5. Run the demo(package="pdq") command in the R console to review a variety of PDQ 7 models.
Maintenance changes:

1.1  Partitioning

To simplify the installation process, the PDQ software distribution has been partitioned by both:
  1. LANGUAGE, viz., Perl, Python and R,
  2. OPERATING SYSTEM, viz., Linux, MacOS, Unix, Windows.
since the PDQ 6.1.1 release.
Please choose your poison from the below subsections, and assiduously follow those particular installation instructions.

1.2  LANGUAGE: R Installation

1.2.1  OPERATING SYSTEM: Linux, macOS, Unix

*** Download this R tarball.
MacOS requires the clang compiler from XCode tools.
Also, make sure you have R installed
  1. Download R for Mac OS X
  2. Download R for Linux
  3. Download R for Windows
Then, follow these steps:
  1. Change directory (cd) into the top-level `pdq' folder
  2. Execute the following commands in a terminal window:
    1. sudo R CMD INSTALL pdq_7.0-0.tar.gz

1.2.2  OPERATING SYSTEM: Windows

Building PDQ-R on Microsoft Windows is fairly simple process, even for those R Windows users who don't regularly build packages from sources.
The steps are these:
  1. Download and install R tools for Windows from CRAN
  2. *** Download this PDQ-R tarball into a local directory, e.g. C:\Users\Example\R-SRC
    Note the underscore in the tarball file name, which should not to be confused with the full PDQ distribution tarball.
  3. Start your version of R
  4. Use the command install.packages from the R console to install the package. The command will be something like this:
    install.packages("source_directory\\pdq_7.0-0.tar.gz",repos=NULL,type="source")
  5. For the source directory shown in the earlier example, the complete command would be:
    install.packages("C:\\Users\\Example\\R-SRC\\pdq_7.0-0.tar.gz",repos=NULL,type="source")



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On 26 Nov 2020, 17:20.