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Base SAS Procedures: Versions 7 and 8 Changes and Enhancements for All Operating Environments

For information about changes and enhancements to base SAS procedures that are relevant only to a particular operating environment, see the SAS documentation for that operating environment.

Changes That Affect Multiple Procedures

Output Delivery System

• store links to each piece of output in the Results folder in the SAS Explorer

• can generate HTML output

• can generate output for a high-resolution printer

• can generate output data sets from procedure output

• provide a way for you to customize the procedure output by creating templates that you can use whenever you run the procedure.

Integrity Constraints

Generation Data Sets

PROC DATASETS manages the generation group -- the set of generation data sets (see The DATASETS Procedure ). Other procedures can use the GENNUM= data set option to read a specific version of the data.

Changes to the Behavior of the WEIGHT Statement

PROC REPORT and most SAS/STAT procedures have always excluded not only observations with missing weights but also observations with negative and zero weights from the analysis. Now, base procedures that do not, by default, exclude observations with negative and 0 weights support the EXCLNPWGT option in the PROC statement. EXCLNPWGT excludes observations with negative and 0 weights.

For more information, see WEIGHT .

New Procedures

• The DBCSTAB procedure produces conversion tables for the double-byte character sets that SAS supports.

• The FSLIST procedure is now a part of base SAS software. You no longer need a SAS/FSP license to run the procedure.

• The EXPORT procedure reads data from a SAS data set and writes it to an external data source.

• The IMPORT procedure reads data from an external data source and writes it to a SAS data set.

• The REGISTRY procedure maintains the SAS Registry.

Changes to Existing Procedures

PROC CATALOG

• The PROC CATALOG statement supports this new option:

  FORCE

  forces statements to execute when the catalog has been opened by a process other than the current one.

• The COPY statement supports the NEW option, which overwrites the destination catalog (specified by OUT=) if it already exists.

PROC CIMPORT

• The CIMPORT procedure transports integrity constraints, passwords, and generation data sets.

• The PROC CIMPORT statement supports these new options:

  MEMTYPE=

  specifies to move only data sets or only catalogs during a library import.

  NEW

  creates a new catalog for the imported transport file, and deletes any existing catalog with the same name.

• The SELECT statement and the EXCLUDE statement replace the SELECT= option and the EXCLUDE= option.

PROC CORR

• The WEIGHT statement now excludes observations with missing weight values from the analysis.

• The EXCLNPWGT option in the PROC CORR statement excludes observations with nonpositive weights from the analysis.

PROC CPORT

• The procedure transports integrity constraints, passwords, and generation data sets.

• The SELECT statement and the EXCLUDE statement replace the SELECT= option and the EXCLUDE= option.

PROC DATASETS

The SAS System now supports the creation of integrity constraints. Integrity constraints are a set of rules that modifications to a data set (table) must follow in order to guarantee the validity of the data. You can use PROC DATASETS to create and delete integrity constraints.

For more information on using PROC DATASETS with generation data sets and integrity constraints, see The DATASETS Procedure .

• PROC DATASETS supports these new statements:

  AUDIT

  initiates and controls event logging to an audit file.

  IC CREATE

  creates an integrity constraint.

  IC DELETE

  deletes an integrity constraint.

  IC REACTIVATE

  reactivates a foreign key integrity constraint that has been set to inactive.

  INDEX CENTILES

  updates centiles information for indexed variables.

• The APPEND statement supports this new option:

  APPENDVER=V6

  uses the Version 6 behavior for appending observations to the BASE= data set.

• The CHANGE statement supports this new option:

  GENNUM=

  restricts processing to a single generation file or to the entire generation group.

• The CONTENTS statement supports these new options:

  CENTILES

  prints centiles information for indexed variables.

  OUT2=

  names an output data set to contain information about indexes and integrity constraints.

• The COPY statement supports this new option:

  CONSTRAINT=

  specifies whether to copy all integrity constraints when copying a data set.

• The DELETE statement supports this new option:

  GENNUM=

  restricts processing to the specified generation files

• The INDEX CREATE statement supports this new option:

  UPDATECENTILES=

  specifies when the centiles are updated.

• The IC DELETE statement supports this new option:

  _ALL_

  deletes all constraints.

• The INDEX DELETE statement supports this new option:

  _ALL_

  deletes all indexes, except for indexes that are owned by an integrity constraint.

• The MODIFY statement supports these new options:

  GENMAX=

  sets the maximum number of generation files in a generation group.

  GENNUM=

  restricts processing to the specified generation file.

• The REPAIR statement supports this new option:

  GENNUM=

  restricts processing to the specified generation files.

PROC FORMAT

• The PICTURE statement supports these new options:

  DATATYPE=

  specifies that the picture value is a template for formatting date, time, or datetime values.

  DECSEP=

  specifies the separator character for the fractional part of a number. By default, this character is a period (.)

  DIG3SEP=

  specifies the character that separates each group of three digits in a number. By default, this character is a comma (,).

  MULTILABEL

  indicates that multiple labels for the same range are allowed. Secondary labels can be used by certain applications that are designed to handle multilabel formats. For all other applications, the secondary labels are ignored.

  When MULTILABEL is specified, overlapping ranges are also permitted.

• The VALUE statement supports this new option:

  MULTILABEL

  indicates that multiple labels for the same range are allowed. Secondary labels can be used by certain applications that are designed to handle multilabel formats. For all other applications, the secondary labels are ignored.

  When MULTILABEL is specified, overlapping ranges are also permitted.

PROC FREQ

• In PROC FREQ, the method for calculating the standard error for common relative risks has been revised.

• PROC FREQ supports a new statement, the TEST statement . It provides asymptotic tests for some measures of association and measures of agreement. The TEST statement supports the following statistics.

  MEASURES

  provides tests for all the measures of association. To select individual measures of association, use one or more of these options:

  	GAMMA
  	KENTB
  	PCORR
  	SCORR
  	SMDCR
  	SMDRC
  	STUTC

  AGREE

  provides tests for all the measures of agreement. To select individual measures of agreement, use one or more of these options:

  	KAPPA
  	WTKAP

• The TABLES statement supports these new options:

  PRINTKWT

  prints the kappa coefficient weights.

  SCOROUT

  displays the row and column scores when statistics are computed two-way tables.

  BINOMIAL

  computes binomial proportions, asymptotic standard error, and asymptotic confidence bounds for one-way tables.

  The AGREE option in the TABLES statement supports a parameter that specifies the type of weights that PROC FREQ uses to compute the weighted kappa coefficient. You can specify Cicchetti-Allison weights or Fleiss-Cohen weights.

• The EXACT statement now computes an exact chi-square goodness-of-fit test for one-way tables as well as an exact chi-square test for two-way tables. It also supports these new options:

  ALPHA=

  specifies the confidence level for the confidence limits for the Monte Carlo p-value estimates.

  MAXTIME=

  specifies the amount of time that PROC FREQ uses to compute an exact p-value before timing out.

  MC

  requests Monte Carlo estimation of exact p-values, instead of direct exact p-value computation.

  N=

  specifies the number of samples for Monte Carlo estimation.

  SEED=

  specifies the initial seed for random number generation for Monte Carlo estimation.

PROC MEANS

• PROC MEANS supports these new statements:

  TYPES

  specifies which combinations of class variables PROC MEANS uses to subgroup the data (see TYPES Statement ).

  WAYS

  specifies how many class variables PROC MEANS combines to subgroup the data (see WAYS Statement ).

• The PROC MEANS statement supports these new options:

  CHARTYPE

  specifies that the _TYPE_ variable contains character values.

  CLASSDATA=

  specifies a data set that contains the combinations of class variable values to include in analysis.

  COMPLETETYPES

  creates all possible combinations of class variable values.

  EXCLNPWGT

  excludes observations with nonpositive weights from the analysis.

  EXCLUSIVE

  excludes from the analysis all class variable combinations that are not in the CLASSDATA= data set.

  NOTRAP

  disables floating point exception (FPE) recovery during data processing.

  PRINTALLTYPES

  displays all valid combinations of class variables in the output.

  PRINTIDVARS

  prints the value of the ID variables.

  QMARKERS=

  specifies the default number of markers to use for the P² quantile estimation method.

  QMETHOD=

  specifies the method to process the input data to compute quantiles.

  QNTLDEF=

  specifies the mathematical definition used to compute quantiles.

  SUMSIZE=

  specifies the amount of memory available for data summarization with class variables.

• PROC MEANS now supports multiple CLASS statements. The CLASS statement (only in the MEANS, SUMMARY, and TABULATE procedures) supports the following new options:

  ASCENDING

  specifies to sort the class variable levels in ascending order.

  DESCENDING

  specifies to sort the class variable levels in descending order.

  EXCLUSIVE

  excludes from the analysis all class variable values that are not found in the preloaded range of user-defined formats.

  GROUPINTERNAL

  specifies not to apply formats to the class variables when PROC MEANS sorts the values to create combinations of class variables.

  MISSING

  considers missing values as valid class variable levels.

  MLF

  enables PROC MEANS to use the primary and secondary format labels for a given range or overlapping ranges to create the subgroup combinations when a multilabel format is assigned to a class variable.

  ORDER=

  specifies the sort order for the levels of the class variables in the output.

  PRELOADFMT

  specifies to preload all the formats for the class variables.

• The OUTPUT statement : by default the statistics in the output data set automatically inherit the analysis variable's format, informat, and label. However, statistics computed for N, NMISS, SUMWGT, USS, CSS, VAR, CV, T, PROBT, SKEWNESS, and KURTOSIS will not inherit the analysis variable's format because this format may be invalid for these statistics (e.g. dollar or datetime formats).

  The OUTPUT statement supports these new options:

  AUTOLABEL

  specifies that PROC MEANS append the statistic name to the end of the variable label. If an analysis variable has no label, PROC MEANS creates a label by appending the statistic name to the analysis variable name.

  AUTONAME

  automatically resolves conflicts in the names of the variables in the OUT= data set.

  IDGROUP

  combines the features of the ID statement and the IDMIN option in the PROC MEANS statement.

  INHERIT

  specifies that statistics in the output data set inherit the attributes (label, length, and format) of the analysis variable that PROC MEANS uses to derive them.

  KEEPLEN

  specifies that statistics in the output data set inherit the length of the analysis variable that PROC MEANS uses to derive them.

  LEVELS

  includes a variable named _LEVEL_ in the output data set. This variable contains a value from 1 to n that indicates a unique combination of the values of class variables (the values of the _TYPE_ variable).

  NOINHERIT

  specifies that the variables in the output data set that contain statistics do not inherit the attributes (label and format) of the analysis variables which are used to derive them.

  WAYS

  includes a variable named _WAY_ in the output data set. This variable contains a value from 1 to the maximum number of CLASS variables that indicates how many CLASS variables PROC MEANS combines to create the TYPE value.

• The VAR statement supports this new option:

  WEIGHT=

  specifies a numeric variable whose values weight the variables that are specified in the VAR statement.

• The WEIGHT statement now excludes observations with missing weight values from the analysis.

• PROC MEANS supports these new statistics:

  	MEDIAN
  	P1
  	P5
  	P10
  	P90
  	P95
  	P99
  	Q1
  	Q3
  	QRANGE

PROC OPTIONS

PROC PMENU

PROC PRINT

• The PROC PRINT statement supports this new option:

  OBS=

  specifies a column header for the column that identifies each observation by number.

• The N= option in the PROC PRINT statement has been enhanced so that you can specify explanatory text to print with the value of N.

PROC REPORT

• The PROC REPORT statement supports this new option:

  FORMCHAR=

  defines the characters to use as line-drawing characters in the report.

• The COMPUTE statement supports this new option:

  _PAGE_

  places information at the top or bottom of each page.

• If you use the Output Delivery System to create HTML files or printer output from PROC REPORT, you can set the style that the procedure uses for various parts of the report. Styles determine attributes like font face, font weight, color, and so forth. Information on the attributes that you can set for a style is in Customizing the Style Definition That ODS Uses .

  You specify styles for PROC REPORT with the STYLE= option. You can use this option in the following statements:

  • PROC REPORT

  • BREAK

  • CALL DEFINE

  • COMPUTE (with a location and LINE statements)

  • DEFINE

  • RBREAK

PROC SQL

• Some PROC SQL views are now updateable. The view must be based on a single DBMS table or SAS data file and must not contain a join, an ORDER BY clause, or a subquery.

• Whenever possible, PROC SQL passes joins to the DBMS rather than doing the joins itself. This enhances performance.

• You can now store DBMS connection information in a view with the USING LIBNAME clause.

• A new option, DQUOTE=ANSI, enables you to use names that are not normally permissible in PROC SQL.

• A PROC SQL query can now reference up to 32 views or tables. PROC SQL can perform joins on up to 32 tables.

• PROC SQL can now create and update tables that contain integrity constraints.

PROC STANDARD

• The PROC STANDARD statement supports this new option:

  EXCLNPWGT

  excludes observations with nonpositive weights from the analysis.

• The WEIGHT statement now excludes observations with missing weight values from the analysis.

PROC SUMMARY

• The PROC SUMMARY statement supports this new option:

  EXCLNPWGT

  excludes observations with nonpositive weights from the analysis.

• The WEIGHT statement now excludes observations with missing weight values from the analysis.

PROC TABULATE

• The PROC TABULATE statement supports these new options:

  CLASSDATA=

  specifies a data set that contains the combinations of class variable values to include in analysis.

  CONTENTS=

  allows you to name the link in the HTML table of contents that points to the ODS output of the first table produced.

  EXCLNPWGT

  excludes observations with nonpositive weights from the analysis.

  EXCLUSIVE

  excludes from the analysis all class variable combinations that are not in the CLASSDATA= data set.

  NOTRAP

  disables trapping mathematical errors due to overflow.

  OUT=

  names the output data set.

  QMARKERS=

  specifies the default number of markers to use for the P² (fixed space) quantile estimation method.

  QMETHOD

  specifies the method to process the input data to compute quantiles.

  QNTLDEF=

  specifies the mathematical definition used to compute quantiles.

  TRAP

  enables trapping mathematical errors due to overflow.

• PROC TABULATE now supports multiple CLASS statements. For a discussion of the options that the CLASS statement supports, see the discussion of PROC MEANS and the CLASS statement . The CLASS statement has this new option:

  MLF

  allows you to make use of multiple labels when a multilabel format is assigned to a class variable in PROC FORMAT.

• In the TABLE statement , the following options have been enhanced:

  CONDENSE

  prints multiple logical pages on a physical page.

  CONTENTS=

  allows you to name the link in the HTML table of contents that points to the ODS output of the table produced using the TABLE statement.

  NOCONTINUED

  suppresses the printing of the "(Continued)" continuation message for tables that span physical pages.

• PROC TABULATE supports these new statistics:

  	COLPCNT
  	COLPCTSUM
  	MEDIAN
  	P1
  	P5
  	P10
  	P90
  	P95
  	P99
  	PAGEPCTN
  	PAGEPCTSUM
  	Q1
  	Q3
  	QRANGE
  	REPPCTN
  	REPPCTSUM
  	ROWPCTN
  	ROWPCTSUM

• If you use the Output Delivery System to create HTML files or printer output from PROC TABULATE, you can set the style that the procedure uses for various parts of the report. Styles determine attributes like font face, font weight, color, and so forth. Information on the attributes that you can set for a style is in Customizing the Style Definition That ODS Uses .

  You specify styles for PROC TABULATE with the STYLE= option. You can use this option in several locations in the procedure. For details see The TABULATE Procedure . In addition, there are two new styles:

  BeforeCaption

  controls the look and feel of page dimension text.

  AfterCaption style

  controls the look and feel of the "(Continued)" continuation message.

• PROC TABULATE supports multiple VAR statements. The VAR statement supports this new option:

  WEIGHT=

  specifies a numeric variable whose values weight the variables that are specified in the VAR statement.

• The WEIGHT statement now excludes observations with missing weight values from the analysis.

PROC UNIVARIATE

• PROC UNIVARIATE now supports high resolution graphical displays. You can generate histograms and comparative histograms and optionally superimpose fitted probabilty density curves for various distributions and kernel density estimates. You can generate quantile-quantile plots (Q-Q plots) and probability plots to compare a data distribution with various theoretical distributions. You also have the ability to inset summary statistics in the graphical displays.

• The WEIGHT statement now excludes observations with missing weight values from the analysis.

• The output from PROC UNIVARIATE has been reorganized and includes some new tables:

  	The Moments table displays only those statistics that are related to sample moments.
  	A new table, Tests for Location, shows the Student's t test, the sign test, and the signed rank test.
  	A new table, Basic Statistical Measures, provides basic measures of location and variability.

• The UNIVARIATE procedure supports these new statements:

  CLASS statement

  specifies one or two class variables for the analysis.

  You can use the CLASS statement with a HISTOGRAM, PROBPLOT, or QQPLOT statement to create one-way and two-way high resolution comparative plots. When you use a single class variable, PROC UNIVARIATE displays an array of componentplots (stacked or side-by-side), for each level of the class variable. When you use two class variables, PROC UNIVARIATE displays a matrix of component plots, one for each combination of levels of the class variables

  HISTOGRAM statement

  creates a high resolution graph of a histogram and optionally includes parametric and nonparametric density curve estimates. You can use the HISTOGRAM statement to specify the midpoints for histogram intervals, display density curves for fitted theoretical distributions (beta, exponential, gamma, lognormal, normal, and Weibull) on histograms, request goodness-of-fit tests for fitted distributions, display kernel density estimates on histograms, save histogram intervals and parameters of fitted distributions in output data sets, and request graphical enhancements.

  INSET statement

  Places a box or table of summary statistics, called an inset, directly in the graphical display. The inset can display statistics that PROC UNIVARIATE calculates or display values that you provide in a SAS data set. The INSET statement does not produce the graphical display. You must specify a HISTOGRAM, PROBPLOT, or QQPLOT statement. You can use options in the INSET statement to specify the position of the inset, to specify a header for the inset, and to specify graphical enhancements, such as background colors, text colors, text height, text font, and drop shadows

  PROBPLOT statement

  creates a high-resolution graphics display of a probability plot, which compares ordered variable values with the percentiles of a specified theoretical distribution.

  QQPLOT statement

  Creates a graphical display of a quantile-quantile plot (Q-Q plot), which compares ordered variable values with quantiles of a specified theoretical distribution.

• The PROC UNIVARIATE statement statement supports these new options:

  ANNOTATE=

  specifies an input data set that contains annotate variables as described in SAS/GRAPH documentation. You can use this data set to add features to your high resolution graphics. PROC UNIVARIATE adds the features in this data set to every high resolution graph produced in the PROC step.

  EXCLNPWGT

  excludes observations with nonpositive weights from the analysis.

  GOUT=

  specifies the SAS catalog in which to save the high resolution graphics output that the UNIVARIATE procedure produces.

  PROC UNIVARIATE also supports the following enhancements:
  • The ALL option requests tables of confidence limits, frequency, modes, and extreme values, and plots. For unweighted analysis variables, it also requests location counts, tests for normality, and robust estimators of scale and location.

  • The CIBASIC option produces the Basic Statistical Measures table. This table provides basic measures of location and variability.

  • The EXCLNPWGT option excludes observations with nonpositive weights from the analysis.

  • The LOCCOUNT option produces the Location Counts table. This table shows the numbers of observations greater than, less than, and equal to the value of the new MU0= option. Formerly, this information was in the Moments table. The default value for MU0= is 0.

  • Mode is no longer shown for continuous data. If there are multiple modes, the lowest mode is still shown. The MODES option in the PROC UNIVARIATE statement displays a table of all modes.

  • The NORMAL option produces a table of Tests for Normality. These tests include empirical distribution function (EDF) goodness-of-fit tests. The Shapiro-Wilk test is included only if the sample size is less than or equal to 2000. The Kolmogorov test is always included.

  • The ROBUSTSCALE option produces a table with robust estimates of scale.

  • The TRIM= option produces a table of trimmed means.

  • The WINSOR= option produces a table of winsorized means.

  • A new table, Basic Confidence Limits, provides basic confidence intervals for the mean, the standard deviation, and the variance.

  • You can request confidence intervals for quantiles with these options:

    CIPCTLNORMAL

    requests confidence intervals that are based on the assumption that the data are normal.

    CIPCTLDF

    requests confidence intervals that are distribution free.

  • The Extremes table is replaced by two tables:

    Extreme Observations table

    displays the n lowest observations and n highest observations, where n is specified with the new option NEXTROBS= in the PROC UNIVARIATE statement. FREQ and ID variables change the table.

    Extreme Values table

    displays the n lowest unique and n highest unique values, where n is specified with the new option NEXTRVAL= in the PROC UNIVARIATE statement.

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