Chapter Contents |
Previous |
Next |

PROBPLOT Statement |

**PROBPLOT**<*variables*> < /*options*>;

You can specify the keyword PROB as an alias for PROBPLOT, and you can use any number of PROBPLOT statements in the CAPABILITY procedure. The components of the PROBPLOT statement are described as follows.*variables*- are the process variables for which to create probability
plots. If you specify a VAR statement, the
*variables*must also be listed in the VAR statement. Otherwise, the*variables*can be any numeric variables in the input data set. If you do not specify a list of*variables*, then by default the procedure creates a probability plot for each variable listed in the VAR statement, or for each numeric variable in the DATA= data set if you do not specify a VAR statement. For example, each of the following PROBPLOT statements produces two probability plots, one for LENGTH and one for WIDTH:proc capability data=measures; var length width; probplot; run; proc capability data=measures; probplot length width; run;

*options*- specify the theoretical distribution for the plot or
add features to the plot. If you specify more than one
variable, the
*options*apply equally to each variable. Specify all*options*after the slash (/) in the PROBPLOT statement. You can specify only one*option*naming the distribution in each PROBPLOT statement, but you can specify any number of other*options*. The distributions available are the beta, exponential, gamma, lognormal, normal, two-parameter Weibull, and three-parameter Weibull. By default, the procedure produces a plot for the normal distribution.

In the following example, the NORMAL option requests a normal probability plot for each variable, while the MU= and SIGMA=*normal-options*request a distribution reference line corresponding to the normal distribution with and . The SQUARE option displays the plot in a square frame, and the CTEXT= option specifies the text color.proc capability data=measures; probplot length1 length2 / normal(mu=10 sigma=0.3) square ctext=blue; run;

Chapter Contents |
Previous |
Next |
Top |

Copyright © 1999 by SAS Institute Inc., Cary, NC, USA. All rights reserved.