Summary of Options

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CDFPLOT Statement

Summary of Options

The following tables list all options by function. The "Dictionary of Options" describes each option in detail.

Distribution Options

You can use the options listed in Table 2.1 to superimpose a fitted theoretical distribution function on your cdf plot.

Table 2.1: Main Distribution Options

BETA(beta-options)	plots two-parameter beta distribution function, parameters $\theta$ and $\sigma$ assumed known
EXPONENTIAL(exponential-options)	plots one-parameter exponential distribution function, parameter $\theta$ assumed known
GAMMA(gamma-options)	plots two-parameter gamma distribution function, parameter $\theta$ assumed known
LOGNORMAL(lognormal-options)	plots two-parameter lognormal distribution function, parameter $\theta$ assumed known
NORMAL(normal-options)	plots normal distribution function
WEIBULL(Weibull-options)	plots two-parameter Weibull distribution function, parameter $\theta$ assumed known

You can specify options in parentheses after each distribution option to control features of the theoretical distribution function. For example, the following statements use the NORMAL option to superimpose a normal distribution:

   proc capability;
      cdfplot / normal(mu=10 sigma=0.5 color=red);
   run;

The COLOR= option specifies the color for the curve, and the normal-options MU= and SIGMA= specify the parameters $\mu = 10$ and $\sigma = 0.5$ for the distribution function. If you do not specify these parameters, maximum likelihood estimates are computed.

Table 2.2: Options Used with All Distribution Options

COLOR=color	specifies color of theoretical distribution function
L=linetype	specifies line type of theoretical distribution function
SYMBOL='character'	specifies character used to plot theoretical distribution function if cdf plot is produced on a line printer
W=n	specifies width of theoretical distribution function

Table 2.3: Beta-Options

ALPHA=value	specifies first shape parameter $\alpha$ for beta distribution function
BETA=value	specifies second shape parameter $\beta$ for beta distribution function
SIGMA=value	specifies scale parameter $\sigma$ for beta distribution function
THETA=value	specifies lower threshold parameter $\theta$ for beta distribution function

Table 2.4: Exponential-Options

SIGMA=value	specifies scale parameter $\sigma$ for exponential distribution function
THETA=value	specifies threshold parameter $\theta$ for exponential distribution function

Table 2.5: Gamma-Options

ALPHADELTA=value	specifies change in successive estimates of $\alpha$ at which the Newton-Raphson approximation of $\hat{\alpha}$ terminates
ALPHAINITIAL=value	specifies initial value for $\alpha$ in the Newton-Raphson approximation of $\hat{\alpha}$
MAXITER=n	specifies maximum number of iterations in the Newton-Raphson approximation of $\hat{\alpha}$
SIGMA=value	specifies scale parameter $\sigma$ for gamma distribution function
ALPHA=value	specifies shape parameter $\alpha$ for gamma distribution function
THETA=value	specifies threshold parameter $\theta$ for gamma distribution function

Table 2.6: Lognormal-Options

ZETA=value	specifies scale parameter $\zeta$ for lognormal distribution function
SIGMA=value	specifies shape parameter $\sigma$ for lognormal distribution function
THETA=value	specifies threshold parameter $\theta$ for lognormal distribution function

Table 2.7: Normal-Options

MU=value	specifies mean $\mu$ for normal distribution function
SIGMA=value	specifies standard deviation $\sigma$ for normal distribution function

Table 2.8: Weibull-Options

C=value	specifies shape parameter c for Weibull distribution function
CDELTA=value	specifies change in successive estimates of c at which the Newton-Raphson approximation of $\hat{c}$ terminates
CINITIAL=value	specifies initial value for c in the Newton-Raphson approximation of $\hat{c}$
MAXITER=value	specifies maximum number of iterations in the Newton-Raphson approximation of $\hat{c}$
SIGMA=value	specifies scale parameter $\sigma$ for Weibull distribution function
THETA=value	specifies threshold parameter $\theta$ for Weibull distribution function

General Options

Table 2.9: Options to Enhance Plots Produced on Graphics Devices

ANNOTATE= SAS-data-set	specifies annotate data set
CAXIS=color	specifies color for axis
CFRAME=color	specifies color for frame
CHREF=color	specifies color for HREF=lines
CTEXT=color	specifies color for text
CVREF=color	specifies color for VREF= lines
DESCRIPTION='string'	specifies description for graphics catalog member
FONT=font	specifies software font for text
HAXIS=name	specifies AXIS statement for horizontal axis
HMINOR=n	specifies number of horizontal minor tick marks
LEGEND=name \| NONE	identifies LEGEND statement
LHREF=linetype	specifies line style for HREF=lines
LVREF=linetype	specifies line style for VREF= lines
NAME='string'	specifies name for plot in graphics catalog
VAXIS=name	specifies AXIS statement for vertical axis
VMINOR=n	specifies number of vertical minor tick marks

Table 2.10: Options to Enhance Plots Produced on Line Printers

CDFSYMBOL='character'	specifies character for plotted points
HREFCHAR='character'	specifies line character for HREF=lines
VREFCHAR='character'	specifies line character for VREF= lines

Table 2.11: General Plot Layout Options

HREF=value-list	specifies reference lines perpendicular to the horizontal axis
HREFLABELS= 'label1'...'labeln'	specifies labels for HREF=lines
NOCDFLEGEND	suppresses legend for superimposed theoretical cdf
NOECDF	suppresses plot of empirical (observed) distribution function
NOFRAME	suppresses frame around plotting area
NOLEGEND	suppresses legend
NOSPECLEGEND	suppresses specifications legend
VREF=value-list	specifies reference lines perpendicular to the vertical axis
VREFLABELS= 'label1'...'labeln'	specifies labels for VREF= lines
VSCALE=PERCENT \| PROPORTION	specifies scale for vertical axis

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