Design of Experiments
with MINITAB

Paul Mathews
ASQ Quality Press, 2004,
ISBN 0-87389-637-8.


MINITAB DOE Macros

The documentation below duplicates the contents of the ReadMe.txt file in the MINITAB Macros folder on the CD bundled with the book. There are more MINITAB macros available here.


MINITAB 14 Macros> ReadMe.txt file for companion CD to Mathews, Design of Experiments with MINITAB, ASQ Press, 2004.

This ReadMe.txt file contains a catalog and short description of the MINITAB 14 macros to support and complement the textbook. They are revised to run on MINITAB Version 14 and may not run correctly or at all on earlier versions of MINITAB. All of the macros were written by Paul Mathews or Rebecca Malnar of Mathews Malnar and Bailey, Inc., and are thought to be accurate; however, use them at your own risk and perform an independent validation of any output from these macros if you're doing something important. The comments at the beginning of and throughout each macro provide details about their use. Open a macro in Notepad to view its contents. If you edit a macro using a non-English version of Windows, Notepad may insert special symbols in the file that you cannot see and that MINITAB will not understand.

The most convenient way to execute these macros in MINITAB is to copy them to MINITAB's Macros folder. Then from the mtb> command prompt, run the .mtb macros using the exec command and run the .mac macros using the % operator. See MINITAB's Help> Macros Help documentation for more information on MINITAB macros.
Macro
 Description
coefftnormplot.mac
 Creates a normal plot of regression coefficient t values with coefficient labels and reference lines to distinguish significant from insignificant coefficients.
correlate.mac
 Creates the correlation matrix with two-factor interactions for 2-8 input variables.
fitfinder.mac
 Creates a 6x6 matrix of transformations of (x,y) data to assist in the identification of an appropriate system of transformations for a nonlinear problem.
grrsim.mac
 A GR&R study simulation that creates a classic long study with the specified number of parts, operators, and trials.
halfnorm.mac Creates a half normal probability plot with optional data labels. Some analysts prefer the use of half normal plots of regression coefficients to regular normal plots.
makeCRD.mac Creates the run matrix for the specified completely randomized one-way classification design.
makeRBD.mac Creates the run matrix for the randomized complete block design.
makeoneway.mac This macro was renamed makeCRD.mac to be more consistent with the names of other macros, but it may still be called. See makeCRD.mac for details.
mlr2.mac Multiple linear regression analysis with two variables. Can also include blocks in the analysis and generates the usual residuals diagnostic plots.
mlr3.mac Multiple linear regression analysis with three variables. Can also include blocks in the analysis and generates the usual residuals diagnostic plots.
mlr4.mac Multiple linear regression analysis with four variables. Can also include blocks in the analysis and generates the usual residuals diagnostic plots.
mlr5.mac Multiple linear regression analysis with five variables. Can also include blocks in the analysis and generates the usual residuals diagnostic plots.
normalpaper.mac Creates blank normal probability plotting paper suitable for printing and manual plotting.
power.mac Calculates the power for any balanced fixed effects general factorial design.
plotnorm.mac Creates a normal probability plot with optional data labels.
randomizeit.mac Creates and reorganizes a random run order for a factorial design originally in standard order. The block subcommand will randomize the runs with predefined blocks.
repeatrows.mac Duplicates each row of the specified columns the specified number of times.
sim2.mtb A two variable simluation with potential interaction and quadratic terms.
sim3.mtb A three variable simluation with potential interaction and quadratic terms.
sim4.mtb A four variable simluation with potential interaction and quadratic terms.
sim5.mtb A five variable simluation with potential interaction and quadratic terms.
sixdice.mac Simulates the six dice sum response using a specified number of magic (weighted) dice.
unrandomizeit.mac Sorts a randomized factorial design from random to standard order. The block subcommand preserves the original blocking organization.


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