Chapter Contents |
Previous |
Next |
HISTOGRAM Statement |
The OUTFIT= data set contains the variables listed in Table 4.18.
Table 4.18: Variables in the OUTFIT= Data SetVariable | Description |
_ADASQ_ | Anderson-Darling EDF goodness-of-fit statistic |
_ADP_ | p-value for Anderson-Darling EDF goodness-of-fit test |
_CHISQ_ | chi-square goodness-of-fit statistic |
_CP_ | generalized capability index C_{p} based on the fitted curve |
_CPK_ | generalized capability index C_{pk} based on the fitted curve |
_CPL_ | generalized capability index CPL based on the fitted curve |
_CPM_ | generalized capability index C_{pm} based on the fitted curve |
_CPU_ | generalized capability index CPU based on the fitted curve |
_CURVE_ | name of fitted distribution (abbreviated to 8 characters) |
_CVMWSQ_ | Cramer-von Mises EDF goodness-of-fit statistic |
_CVMP_ | p-value for Cramer-von Mises EDF goodness-of-fit test |
_DF_ | degrees of freedom for chi-square goodness-of-fit test |
_ESTGTR_ | estimated percent of population greater than upper specification limit |
_ESTLSS_ | estimated percent of population less than lower specification limit |
_ESTSTD_ | estimated standard deviation |
_EXPECT_ | estimated mean |
_K_ | generalized capability index K based on the fitted curve |
_KSD_ | Kolmogorov-Smirnov EDF goodness-of-fit statistic |
_KSP_ | p-value for Kolmogorov-Smirnov EDF goodness-of-fit test |
_LOCATN_ | location parameter for fitted distribution. For the normal distribution, this is either the value of specified with the MU= option or the sample mean. For all other distributions, this is either the value specified with the THRESHOLD= option or zero. |
_LSL_ | lower specification limit |
_MIDPT1_ | midpoint of first interval used to calculate the value of the chi-square statistic. This is the leftmost interval that contains at least one value of the variable. |
_MIDPTN_ | midpoint of last interval used to calculate the value of the chi-square statistic. This is the rightmost interval that contains at least one value of the variable. |
_OBSGTR_ | observed percent of data greater than upper specification limit |
_OBSLSS_ | observed percent of data less than the lower specification limit |
_PCHISQ_ | p-value for chi-square goodness-of-fit test |
_SCALE_ | value of scale parameter for fitted distribution. For the normal distribution, this is either the value of specified with the SIGMA= option or the sample standard deviation. For all other distributions, this is either the value specified with the SCALE= option or the value estimated by the procedure. |
_SHAPE1_ | value of shape parameter for fitted distribution. For distributions without a shape parameter (normal and exponential distributions), _SHAPE1_ is set to missing. For the gamma, lognormal, and Weibull distributions, the value of _SHAPE1_ is either the value specified with the SHAPE= option or the value estimated by the procedure. For the beta distribution, _SHAPE1_ is either the value of specified with the ALPHA= option or the value estimated by the procedure. |
_SHAPE2_ | value of shape parameter for fitted distribution. For the beta distribution, _SHAPE2_ is either the value of specified with the BETA= option or the value estimated by the procedure. For all other distributions, _SHAPE2_ is set to missing. |
_TARGET_ | target value |
_USL_ | upper specification limit |
_VAR_ | variable name |
_WIDTH_ | width of histogram interval |
The data set contains a group of observations for each variable plotted with the HISTOGRAM statement. The group contains an observation for each interval of the histogram, beginning with the leftmost interval that contains a value of the variable and ending with the rightmost interval that contains a value of the variable. These intervals will not necessarily coincide with the intervals displayed in the histogram since the histogram may be padded with empty intervals at either end. If you superimpose one or more fitted curves on the histogram, the OUTHISTOGRAM= data set contains multiple groups of observations for each variable (one group for each curve). If you use a BY statement, the OUTHISTOGRAM= data set contains groups of observations for each BY group. ID variables are not saved in the OUTHISTOGRAM= data set.
The OUTHISTOGRAM= data set contains the variables listed in Table 4.19.
Table 4.19: Variables in the OUTHISTOGRAM= Data SetVariable | Description |
_CURVE_ | name of fitted distribution (if requested in HISTOGRAM statement) |
_EXPPCT_ | estimated percent of population in histogram interval determined from optional fitted distribution |
_MIDPT_ | midpoint of histogram interval |
_OBSPCT_ | percent of variable values in histogram interval |
_VAR_ | variable name |
Chapter Contents |
Previous |
Next |
Top |
Copyright © 1999 by SAS Institute Inc., Cary, NC, USA. All rights reserved.