PROBPLOT Statement: CAPABILITY Procedure
Syntax: PROBPLOT Statement
The syntax for the PROBPLOT statement is as follows:
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, Gumbel, lognormal, normal, generalized Pareto, power function, Rayleigh, twoparameter
Weibull, and threeparameter 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= normaloptions 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;
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