Basic Concepts #6: Introduction to Report Writing
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- Moris Webster
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1 Basic Concepts #6: Introduction to Report Writing Using By-line, PROC Report, PROC Means, PROC Freq JC Wang wang (WMU) Basic Concepts 6 Lecture 8 1 / 27
2 Outline 1 Use of Byline Information in Title Lines By-Group Processing 2 PROC Report Use of PROC Report PROC REPORT Statement Selected Statements Used in PROC Report 3 PROC Means Comparing PROC Means and PROC Summary Understanding the Use of Variables in PROC Means Available Statistics in PROC Means Creating SAS Data Set with PROC Means 4 PROC Freq The Use of PROC Freq PROC FREQ Statement Statements Used in PROC Freq wang (WMU) Basic Concepts 6 Lecture 8 2 / 27
3 By-Group Processing By-group processing in a procedure step, a BY line identifies each group in SAS output. By-group processing information can be inserted into titles. PROC PRINT, PROC MEANS/PROC SUMMARY and PROC STANDARD, each requires suppressing default BY lines by setting NOBYLINE system option. Set system option BYLINE to resume default by-group processing. wang (WMU) Basic Concepts 6 Lecture 8 3 / 27
4 By-Group Processing By-group processing in a procedure step, a BY line identifies each group in SAS output. By-group processing information can be inserted into titles. PROC PRINT, PROC MEANS/PROC SUMMARY and PROC STANDARD, each requires suppressing default BY lines by setting NOBYLINE system option. Set system option BYLINE to resume default by-group processing. wang (WMU) Basic Concepts 6 Lecture 8 3 / 27
5 By-Group Processing By-group processing in a procedure step, a BY line identifies each group in SAS output. By-group processing information can be inserted into titles. PROC PRINT, PROC MEANS/PROC SUMMARY and PROC STANDARD, each requires suppressing default BY lines by setting NOBYLINE system option. Set system option BYLINE to resume default by-group processing. wang (WMU) Basic Concepts 6 Lecture 8 3 / 27
6 By-Group Processing By-group processing in a procedure step, a BY line identifies each group in SAS output. By-group processing information can be inserted into titles. PROC PRINT, PROC MEANS/PROC SUMMARY and PROC STANDARD, each requires suppressing default BY lines by setting NOBYLINE system option. Set system option BYLINE to resume default by-group processing. wang (WMU) Basic Concepts 6 Lecture 8 3 / 27
7 By-Group Processing By-group processing in a procedure step, a BY line identifies each group in SAS output. By-group processing information can be inserted into titles. PROC PRINT, PROC MEANS/PROC SUMMARY and PROC STANDARD, each requires suppressing default BY lines by setting NOBYLINE system option. Set system option BYLINE to resume default by-group processing. wang (WMU) Basic Concepts 6 Lecture 8 3 / 27
8 Inserting By-Line Information TITLEn text-before #BY-spec<.suffix> text-after ; BY-spec is one of 1 BYVALn or BYVAL(By-variable) places value of nth or By-variable by-variable in title. 2 BYVARn or BYVAR(By-variable) places label/name of nth or By-variable by-variable in title. 3 BYLINE places complete default by-line into title. suffix places text immediately following BY-group info. (Note: Period (.), following #BY-spec, works as a delimiter.) See example report1.sas. wang (WMU) Basic Concepts 6 Lecture 8 4 / 27
9 Inserting By-Line Information TITLEn text-before #BY-spec<.suffix> text-after ; BY-spec is one of 1 BYVALn or BYVAL(By-variable) places value of nth or By-variable by-variable in title. 2 BYVARn or BYVAR(By-variable) places label/name of nth or By-variable by-variable in title. 3 BYLINE places complete default by-line into title. suffix places text immediately following BY-group info. (Note: Period (.), following #BY-spec, works as a delimiter.) See example report1.sas. wang (WMU) Basic Concepts 6 Lecture 8 4 / 27
10 Inserting By-Line Information TITLEn text-before #BY-spec<.suffix> text-after ; BY-spec is one of 1 BYVALn or BYVAL(By-variable) places value of nth or By-variable by-variable in title. 2 BYVARn or BYVAR(By-variable) places label/name of nth or By-variable by-variable in title. 3 BYLINE places complete default by-line into title. suffix places text immediately following BY-group info. (Note: Period (.), following #BY-spec, works as a delimiter.) See example report1.sas. wang (WMU) Basic Concepts 6 Lecture 8 4 / 27
11 Outline 1 Use of Byline Information in Title Lines By-Group Processing 2 PROC Report Use of PROC Report PROC REPORT Statement Selected Statements Used in PROC Report 3 PROC Means Comparing PROC Means and PROC Summary Understanding the Use of Variables in PROC Means Available Statistics in PROC Means Creating SAS Data Set with PROC Means 4 PROC Freq The Use of PROC Freq PROC FREQ Statement Statements Used in PROC Freq wang (WMU) Basic Concepts 6 Lecture 8 5 / 27
12 What PROC Report Does A report writing tool combining features from DATA step PROC Print, PROC Means, and PROC Tabulate which can be used to generate 1 listing reports 2 summary reports wang (WMU) Basic Concepts 6 Lecture 8 6 / 27
13 What PROC Report Does A report writing tool combining features from DATA step PROC Print, PROC Means, and PROC Tabulate which can be used to generate 1 listing reports 2 summary reports wang (WMU) Basic Concepts 6 Lecture 8 6 / 27
14 PROC Report Output Under windowing environment, output goes to Report window by default. Can use NOWINDOWS (or NOWD) option in PROC REPORT statement to redirect output to OUTPUT window. wang (WMU) Basic Concepts 6 Lecture 8 7 / 27
15 PROC Report Output Under windowing environment, output goes to Report window by default. Can use NOWINDOWS (or NOWD) option in PROC REPORT statement to redirect output to OUTPUT window. wang (WMU) Basic Concepts 6 Lecture 8 7 / 27
16 PROC Report Output Under windowing environment, output goes to Report window by default. Can use NOWINDOWS (or NOWD) option in PROC REPORT statement to redirect output to OUTPUT window. wang (WMU) Basic Concepts 6 Lecture 8 7 / 27
17 PROC REPORT <option(s)>; Selected options PROC REPORT statement I/O: DATA=, OUT= (output data for further processing) LineSize/PageSize: LS=, PS= NOWD Surrounding box: BOX, FORMCHAR= Centering: CENTER NOCENTER Column spacing: SPACING= Allowing missing value: MISSING Multi-panel report: PANELS=, PSPACE= Column-header appearance: HEADLINE, HEADSKIP, NOHEADER, SPLIT= wang (WMU) Basic Concepts 6 Lecture 8 8 / 27
18 PROC REPORT <option(s)>; Selected options PROC REPORT statement I/O: DATA=, OUT= (output data for further processing) LineSize/PageSize: LS=, PS= NOWD Surrounding box: BOX, FORMCHAR= Centering: CENTER NOCENTER Column spacing: SPACING= Allowing missing value: MISSING Multi-panel report: PANELS=, PSPACE= Column-header appearance: HEADLINE, HEADSKIP, NOHEADER, SPLIT= wang (WMU) Basic Concepts 6 Lecture 8 8 / 27
19 Selected Statements Used in PROC Report COLUMN statement: describes columns and headers DEFINE statement: describes how to use or display a report item COMPUTE statement and ENDCOMP statement: contain programming statement(s) that builds report BREAK statement: produces summary at a break RBREAK statement: produces a default summary at the beginning/end of a report or at the beginning/end of each BY-group LINE statement: valid only in COMPUTE blocks, it provides a subset of PUT statement s features to customize the report BY statement: BY-group processing wang (WMU) Basic Concepts 6 Lecture 8 9 / 27
20 Selected Statements Used in PROC Report COLUMN statement: describes columns and headers DEFINE statement: describes how to use or display a report item COMPUTE statement and ENDCOMP statement: contain programming statement(s) that builds report BREAK statement: produces summary at a break RBREAK statement: produces a default summary at the beginning/end of a report or at the beginning/end of each BY-group LINE statement: valid only in COMPUTE blocks, it provides a subset of PUT statement s features to customize the report BY statement: BY-group processing wang (WMU) Basic Concepts 6 Lecture 8 9 / 27
21 Selected Statements Used in PROC Report COLUMN statement: describes columns and headers DEFINE statement: describes how to use or display a report item COMPUTE statement and ENDCOMP statement: contain programming statement(s) that builds report BREAK statement: produces summary at a break RBREAK statement: produces a default summary at the beginning/end of a report or at the beginning/end of each BY-group LINE statement: valid only in COMPUTE blocks, it provides a subset of PUT statement s features to customize the report BY statement: BY-group processing wang (WMU) Basic Concepts 6 Lecture 8 9 / 27
22 Selected Statements Used in PROC Report COLUMN statement: describes columns and headers DEFINE statement: describes how to use or display a report item COMPUTE statement and ENDCOMP statement: contain programming statement(s) that builds report BREAK statement: produces summary at a break RBREAK statement: produces a default summary at the beginning/end of a report or at the beginning/end of each BY-group LINE statement: valid only in COMPUTE blocks, it provides a subset of PUT statement s features to customize the report BY statement: BY-group processing wang (WMU) Basic Concepts 6 Lecture 8 9 / 27
23 Selected Statements Used in PROC Report COLUMN statement: describes columns and headers DEFINE statement: describes how to use or display a report item COMPUTE statement and ENDCOMP statement: contain programming statement(s) that builds report BREAK statement: produces summary at a break RBREAK statement: produces a default summary at the beginning/end of a report or at the beginning/end of each BY-group LINE statement: valid only in COMPUTE blocks, it provides a subset of PUT statement s features to customize the report BY statement: BY-group processing wang (WMU) Basic Concepts 6 Lecture 8 9 / 27
24 Selected Statements Used in PROC Report COLUMN statement: describes columns and headers DEFINE statement: describes how to use or display a report item COMPUTE statement and ENDCOMP statement: contain programming statement(s) that builds report BREAK statement: produces summary at a break RBREAK statement: produces a default summary at the beginning/end of a report or at the beginning/end of each BY-group LINE statement: valid only in COMPUTE blocks, it provides a subset of PUT statement s features to customize the report BY statement: BY-group processing wang (WMU) Basic Concepts 6 Lecture 8 9 / 27
25 Selected Statements Used in PROC Report COLUMN statement: describes columns and headers DEFINE statement: describes how to use or display a report item COMPUTE statement and ENDCOMP statement: contain programming statement(s) that builds report BREAK statement: produces summary at a break RBREAK statement: produces a default summary at the beginning/end of a report or at the beginning/end of each BY-group LINE statement: valid only in COMPUTE blocks, it provides a subset of PUT statement s features to customize the report BY statement: BY-group processing wang (WMU) Basic Concepts 6 Lecture 8 9 / 27
26 Selected Statements Used in PROC Report COLUMN statement: describes columns and headers DEFINE statement: describes how to use or display a report item COMPUTE statement and ENDCOMP statement: contain programming statement(s) that builds report BREAK statement: produces summary at a break RBREAK statement: produces a default summary at the beginning/end of a report or at the beginning/end of each BY-group LINE statement: valid only in COMPUTE blocks, it provides a subset of PUT statement s features to customize the report BY statement: BY-group processing wang (WMU) Basic Concepts 6 Lecture 8 9 / 27
27 COLUMN Statement COLUMN column-specification(s); where column-specification is one of the following report-item: identifies an item that forms a column, where report-item is a data set variable, a computed variable, or a statistic report-item-1, report-item-2 <..., report-item-n>: identifies stacked items ( header-1 <... header-n > report-item(s) ): creates one/more headers spanning multiple items (columns) report-item=name: specifies an alias for a report item wang (WMU) Basic Concepts 6 Lecture 8 10 / 27
28 COLUMN Statement COLUMN column-specification(s); where column-specification is one of the following report-item: identifies an item that forms a column, where report-item is a data set variable, a computed variable, or a statistic report-item-1, report-item-2 <..., report-item-n>: identifies stacked items ( header-1 <... header-n > report-item(s) ): creates one/more headers spanning multiple items (columns) report-item=name: specifies an alias for a report item wang (WMU) Basic Concepts 6 Lecture 8 10 / 27
29 Available Statistics in PROC Report Descriptive Statistics: MIN, MAX, RANGE; MEAN, VAR, STDDEV STD, STDERR, CV; SUM, SUMWGT, CSS, USS; N, NMISS; PCTN, PCTSUM. Quantiles: P1, P5, P10, Q1 P25, MEDIAN P50, Q3 P75, P90, P95, and P99; QRANGE. Test Statistics: T and PROBT. wang (WMU) Basic Concepts 6 Lecture 8 11 / 27
30 Available Statistics in PROC Report Descriptive Statistics: MIN, MAX, RANGE; MEAN, VAR, STDDEV STD, STDERR, CV; SUM, SUMWGT, CSS, USS; N, NMISS; PCTN, PCTSUM. Quantiles: P1, P5, P10, Q1 P25, MEDIAN P50, Q3 P75, P90, P95, and P99; QRANGE. Test Statistics: T and PROBT. wang (WMU) Basic Concepts 6 Lecture 8 11 / 27
31 Available Statistics in PROC Report Descriptive Statistics: MIN, MAX, RANGE; MEAN, VAR, STDDEV STD, STDERR, CV; SUM, SUMWGT, CSS, USS; N, NMISS; PCTN, PCTSUM. Quantiles: P1, P5, P10, Q1 P25, MEDIAN P50, Q3 P75, P90, P95, and P99; QRANGE. Test Statistics: T and PROBT. wang (WMU) Basic Concepts 6 Lecture 8 11 / 27
32 Available Statistics in PROC Report Descriptive Statistics: MIN, MAX, RANGE; MEAN, VAR, STDDEV STD, STDERR, CV; SUM, SUMWGT, CSS, USS; N, NMISS; PCTN, PCTSUM. Quantiles: P1, P5, P10, Q1 P25, MEDIAN P50, Q3 P75, P90, P95, and P99; QRANGE. Test Statistics: T and PROBT. wang (WMU) Basic Concepts 6 Lecture 8 11 / 27
33 DEFINE Statement DEFINE report-item / <option(s)>; use of items (specified in option): ANALYSIS (default for data set numeric variables), DISPLAY (default for data set character variables); ORDER; GROUP, ACROSS; COMPUTED. Selected item appearance options: SPACING=, WIDTH=; FORMAT=, ORDER=; MISSING; statistic. Selected report item options: DESCENDING, FLOW, NOPRINT, NOZERO, PAGE. Values/column heading placement: CENTER, LEFT, RIGHT, column-header. wang (WMU) Basic Concepts 6 Lecture 8 12 / 27
34 DEFINE Statement DEFINE report-item / <option(s)>; use of items (specified in option): ANALYSIS (default for data set numeric variables), DISPLAY (default for data set character variables); ORDER; GROUP, ACROSS; COMPUTED. Selected item appearance options: SPACING=, WIDTH=; FORMAT=, ORDER=; MISSING; statistic. Selected report item options: DESCENDING, FLOW, NOPRINT, NOZERO, PAGE. Values/column heading placement: CENTER, LEFT, RIGHT, column-header. wang (WMU) Basic Concepts 6 Lecture 8 12 / 27
35 DEFINE Statement DEFINE report-item / <option(s)>; use of items (specified in option): ANALYSIS (default for data set numeric variables), DISPLAY (default for data set character variables); ORDER; GROUP, ACROSS; COMPUTED. Selected item appearance options: SPACING=, WIDTH=; FORMAT=, ORDER=; MISSING; statistic. Selected report item options: DESCENDING, FLOW, NOPRINT, NOZERO, PAGE. Values/column heading placement: CENTER, LEFT, RIGHT, column-header. wang (WMU) Basic Concepts 6 Lecture 8 12 / 27
36 DEFINE Statement DEFINE report-item / <option(s)>; use of items (specified in option): ANALYSIS (default for data set numeric variables), DISPLAY (default for data set character variables); ORDER; GROUP, ACROSS; COMPUTED. Selected item appearance options: SPACING=, WIDTH=; FORMAT=, ORDER=; MISSING; statistic. Selected report item options: DESCENDING, FLOW, NOPRINT, NOZERO, PAGE. Values/column heading placement: CENTER, LEFT, RIGHT, column-header. wang (WMU) Basic Concepts 6 Lecture 8 12 / 27
37 DEFINE Statement DEFINE report-item / <option(s)>; use of items (specified in option): ANALYSIS (default for data set numeric variables), DISPLAY (default for data set character variables); ORDER; GROUP, ACROSS; COMPUTED. Selected item appearance options: SPACING=, WIDTH=; FORMAT=, ORDER=; MISSING; statistic. Selected report item options: DESCENDING, FLOW, NOPRINT, NOZERO, PAGE. Values/column heading placement: CENTER, LEFT, RIGHT, column-header. wang (WMU) Basic Concepts 6 Lecture 8 12 / 27
38 Leading/Ending Characters in Headers Use of one of the following characters as the leading character and as the ending character in a header: repeats itself so the header spans over the multiple items. + * \ _ :. = Use of the pair <> or >< for leading-ending character pair are likewise. See example report1.sas. wang (WMU) Basic Concepts 6 Lecture 8 13 / 27
39 Outline 1 Use of Byline Information in Title Lines By-Group Processing 2 PROC Report Use of PROC Report PROC REPORT Statement Selected Statements Used in PROC Report 3 PROC Means Comparing PROC Means and PROC Summary Understanding the Use of Variables in PROC Means Available Statistics in PROC Means Creating SAS Data Set with PROC Means 4 PROC Freq The Use of PROC Freq PROC FREQ Statement Statements Used in PROC Freq wang (WMU) Basic Concepts 6 Lecture 8 14 / 27
40 PROC Means Versus PROC Summary They both produce descriptive statistics over all observations or within groups. They are virtually the same except for default action. PROC Means places output in output window by default while PROC Summary produces output data set by default. wang (WMU) Basic Concepts 6 Lecture 8 15 / 27
41 PROC Means Versus PROC Summary They both produce descriptive statistics over all observations or within groups. They are virtually the same except for default action. PROC Means places output in output window by default while PROC Summary produces output data set by default. wang (WMU) Basic Concepts 6 Lecture 8 15 / 27
42 PROC Means Versus PROC Summary They both produce descriptive statistics over all observations or within groups. They are virtually the same except for default action. PROC Means places output in output window by default while PROC Summary produces output data set by default. wang (WMU) Basic Concepts 6 Lecture 8 15 / 27
43 PROC Means Versus PROC Summary They both produce descriptive statistics over all observations or within groups. They are virtually the same except for default action. PROC Means places output in output window by default while PROC Summary produces output data set by default. wang (WMU) Basic Concepts 6 Lecture 8 15 / 27
44 Getting Started with PROC Means Two types of variables Analysis variables: numeric variables that you want analyses. Analysis variables are declared in VAR statement. Classification variables: numeric or character variables that you want by-group analyses. Classification variables are declared with a BY statement, or with one or more CLASS statements. wang (WMU) Basic Concepts 6 Lecture 8 16 / 27
45 Getting Started with PROC Means Two types of variables Analysis variables: numeric variables that you want analyses. Analysis variables are declared in VAR statement. Classification variables: numeric or character variables that you want by-group analyses. Classification variables are declared with a BY statement, or with one or more CLASS statements. wang (WMU) Basic Concepts 6 Lecture 8 16 / 27
46 Getting Started with PROC Means Two types of variables Analysis variables: numeric variables that you want analyses. Analysis variables are declared in VAR statement. Classification variables: numeric or character variables that you want by-group analyses. Classification variables are declared with a BY statement, or with one or more CLASS statements. wang (WMU) Basic Concepts 6 Lecture 8 16 / 27
47 Using Classification Variables BY <DESCENDING> variable... <NOTSORTED>; Observations need to be sorted or indexed according to the variables listed in BY statement unless NOTSORTED is requested. CLASS variable(s) </ options>; Observations are not required to be sorted or indexed. Unique combinations of variables levels are computed. Options, if specified, are applied to all variables in the list. Use multiple CLASS statements if you want different options for classification variables. BY statement is preferred for large data set and classification variable with large number of levels. Can use BY statement in combination with CLASS statements. wang (WMU) Basic Concepts 6 Lecture 8 17 / 27
48 Using Classification Variables BY <DESCENDING> variable... <NOTSORTED>; Observations need to be sorted or indexed according to the variables listed in BY statement unless NOTSORTED is requested. CLASS variable(s) </ options>; Observations are not required to be sorted or indexed. Unique combinations of variables levels are computed. Options, if specified, are applied to all variables in the list. Use multiple CLASS statements if you want different options for classification variables. BY statement is preferred for large data set and classification variable with large number of levels. Can use BY statement in combination with CLASS statements. wang (WMU) Basic Concepts 6 Lecture 8 17 / 27
49 Using Classification Variables BY <DESCENDING> variable... <NOTSORTED>; Observations need to be sorted or indexed according to the variables listed in BY statement unless NOTSORTED is requested. CLASS variable(s) </ options>; Observations are not required to be sorted or indexed. Unique combinations of variables levels are computed. Options, if specified, are applied to all variables in the list. Use multiple CLASS statements if you want different options for classification variables. BY statement is preferred for large data set and classification variable with large number of levels. Can use BY statement in combination with CLASS statements. wang (WMU) Basic Concepts 6 Lecture 8 17 / 27
50 Using Classification Variables BY <DESCENDING> variable... <NOTSORTED>; Observations need to be sorted or indexed according to the variables listed in BY statement unless NOTSORTED is requested. CLASS variable(s) </ options>; Observations are not required to be sorted or indexed. Unique combinations of variables levels are computed. Options, if specified, are applied to all variables in the list. Use multiple CLASS statements if you want different options for classification variables. BY statement is preferred for large data set and classification variable with large number of levels. Can use BY statement in combination with CLASS statements. wang (WMU) Basic Concepts 6 Lecture 8 17 / 27
51 Available Statistics in PROC Means PROC MEANS <option(s)> <statistic(s)>; Descriptive statistics: N, NMISS; MIN, MAX, RANGE; MEAN, VAR, STDDEV STD, SKEWNESS SKEW, KURTOSIS KURT, CV; STDERR, CLM, LCLM, UCLM; SUM, SUMWGT, CSS, USS. Quantiles: P1, P5, P10, Q1 P25, MEDIAN P50, Q3 P75, P90, P95, and P99; QRANGE. Test Statistics: T and PROBT. Default set of statistics: N, MEAN, STD, MIN, and MAX. wang (WMU) Basic Concepts 6 Lecture 8 18 / 27
52 Available Statistics in PROC Means PROC MEANS <option(s)> <statistic(s)>; Descriptive statistics: N, NMISS; MIN, MAX, RANGE; MEAN, VAR, STDDEV STD, SKEWNESS SKEW, KURTOSIS KURT, CV; STDERR, CLM, LCLM, UCLM; SUM, SUMWGT, CSS, USS. Quantiles: P1, P5, P10, Q1 P25, MEDIAN P50, Q3 P75, P90, P95, and P99; QRANGE. Test Statistics: T and PROBT. Default set of statistics: N, MEAN, STD, MIN, and MAX. wang (WMU) Basic Concepts 6 Lecture 8 18 / 27
53 Available Statistics in PROC Means PROC MEANS <option(s)> <statistic(s)>; Descriptive statistics: N, NMISS; MIN, MAX, RANGE; MEAN, VAR, STDDEV STD, SKEWNESS SKEW, KURTOSIS KURT, CV; STDERR, CLM, LCLM, UCLM; SUM, SUMWGT, CSS, USS. Quantiles: P1, P5, P10, Q1 P25, MEDIAN P50, Q3 P75, P90, P95, and P99; QRANGE. Test Statistics: T and PROBT. Default set of statistics: N, MEAN, STD, MIN, and MAX. wang (WMU) Basic Concepts 6 Lecture 8 18 / 27
54 Available Statistics in PROC Means PROC MEANS <option(s)> <statistic(s)>; Descriptive statistics: N, NMISS; MIN, MAX, RANGE; MEAN, VAR, STDDEV STD, SKEWNESS SKEW, KURTOSIS KURT, CV; STDERR, CLM, LCLM, UCLM; SUM, SUMWGT, CSS, USS. Quantiles: P1, P5, P10, Q1 P25, MEDIAN P50, Q3 P75, P90, P95, and P99; QRANGE. Test Statistics: T and PROBT. Default set of statistics: N, MEAN, STD, MIN, and MAX. wang (WMU) Basic Concepts 6 Lecture 8 18 / 27
55 Available Statistics in PROC Means PROC MEANS <option(s)> <statistic(s)>; Descriptive statistics: N, NMISS; MIN, MAX, RANGE; MEAN, VAR, STDDEV STD, SKEWNESS SKEW, KURTOSIS KURT, CV; STDERR, CLM, LCLM, UCLM; SUM, SUMWGT, CSS, USS. Quantiles: P1, P5, P10, Q1 P25, MEDIAN P50, Q3 P75, P90, P95, and P99; QRANGE. Test Statistics: T and PROBT. Default set of statistics: N, MEAN, STD, MIN, and MAX. wang (WMU) Basic Concepts 6 Lecture 8 18 / 27
56 Creating SAS Data Set with PROC Means Use OUTPUT statements to create SAS data sets. Within same OUTPUT statement, need to specify what statistics needed. Can request different statistics for different variables listed in VAR statement. In an OUTPUT statement, it s good practice to name output data set variables or use AUTONAME option. wang (WMU) Basic Concepts 6 Lecture 8 19 / 27
57 Creating SAS Data Set with PROC Means Use OUTPUT statements to create SAS data sets. Within same OUTPUT statement, need to specify what statistics needed. Can request different statistics for different variables listed in VAR statement. In an OUTPUT statement, it s good practice to name output data set variables or use AUTONAME option. wang (WMU) Basic Concepts 6 Lecture 8 19 / 27
58 Creating SAS Data Set with PROC Means Use OUTPUT statements to create SAS data sets. Within same OUTPUT statement, need to specify what statistics needed. Can request different statistics for different variables listed in VAR statement. In an OUTPUT statement, it s good practice to name output data set variables or use AUTONAME option. wang (WMU) Basic Concepts 6 Lecture 8 19 / 27
59 Creating SAS Data Set with PROC Means Use OUTPUT statements to create SAS data sets. Within same OUTPUT statement, need to specify what statistics needed. Can request different statistics for different variables listed in VAR statement. In an OUTPUT statement, it s good practice to name output data set variables or use AUTONAME option. wang (WMU) Basic Concepts 6 Lecture 8 19 / 27
60 Creating SAS Data Set with PROC Means Use OUTPUT statements to create SAS data sets. Within same OUTPUT statement, need to specify what statistics needed. Can request different statistics for different variables listed in VAR statement. In an OUTPUT statement, it s good practice to name output data set variables or use AUTONAME option. wang (WMU) Basic Concepts 6 Lecture 8 19 / 27
61 _TYPE_ & _FREQ_ Automatic Variables in Output Data Set _TYPE_ contains information about class variables 1 _TYPE_ is numeric by default if 32 or less classification variables are specified, and character otherwise. 2 if CHARTYPE option is specified in PROC MEANS statement then _TYPE_ is character. 3 the character value of _TYPE_ is the binary representation of the numeric values. For instances, if three classification variables are specified in this order: A then B then C, then 011 (value of 3) is the subgroup represented by B*C; 101 (value of 5) is for A*C; 100 (value of 4) is for A; etc. _FREQ_ contains the number of observations that a given output level represents. wang (WMU) Basic Concepts 6 Lecture 8 20 / 27
62 _TYPE_ & _FREQ_ Automatic Variables in Output Data Set _TYPE_ contains information about class variables 1 _TYPE_ is numeric by default if 32 or less classification variables are specified, and character otherwise. 2 if CHARTYPE option is specified in PROC MEANS statement then _TYPE_ is character. 3 the character value of _TYPE_ is the binary representation of the numeric values. For instances, if three classification variables are specified in this order: A then B then C, then 011 (value of 3) is the subgroup represented by B*C; 101 (value of 5) is for A*C; 100 (value of 4) is for A; etc. _FREQ_ contains the number of observations that a given output level represents. wang (WMU) Basic Concepts 6 Lecture 8 20 / 27
63 _TYPE_ & _FREQ_ Automatic Variables in Output Data Set _TYPE_ contains information about class variables 1 _TYPE_ is numeric by default if 32 or less classification variables are specified, and character otherwise. 2 if CHARTYPE option is specified in PROC MEANS statement then _TYPE_ is character. 3 the character value of _TYPE_ is the binary representation of the numeric values. For instances, if three classification variables are specified in this order: A then B then C, then 011 (value of 3) is the subgroup represented by B*C; 101 (value of 5) is for A*C; 100 (value of 4) is for A; etc. _FREQ_ contains the number of observations that a given output level represents. wang (WMU) Basic Concepts 6 Lecture 8 20 / 27
64 _TYPE_ & _FREQ_ Automatic Variables in Output Data Set _TYPE_ contains information about class variables 1 _TYPE_ is numeric by default if 32 or less classification variables are specified, and character otherwise. 2 if CHARTYPE option is specified in PROC MEANS statement then _TYPE_ is character. 3 the character value of _TYPE_ is the binary representation of the numeric values. For instances, if three classification variables are specified in this order: A then B then C, then 011 (value of 3) is the subgroup represented by B*C; 101 (value of 5) is for A*C; 100 (value of 4) is for A; etc. _FREQ_ contains the number of observations that a given output level represents. wang (WMU) Basic Concepts 6 Lecture 8 20 / 27
65 _TYPE_ & _FREQ_ Automatic Variables in Output Data Set _TYPE_ contains information about class variables 1 _TYPE_ is numeric by default if 32 or less classification variables are specified, and character otherwise. 2 if CHARTYPE option is specified in PROC MEANS statement then _TYPE_ is character. 3 the character value of _TYPE_ is the binary representation of the numeric values. For instances, if three classification variables are specified in this order: A then B then C, then 011 (value of 3) is the subgroup represented by B*C; 101 (value of 5) is for A*C; 100 (value of 4) is for A; etc. _FREQ_ contains the number of observations that a given output level represents. wang (WMU) Basic Concepts 6 Lecture 8 20 / 27
66 _TYPE_ & _FREQ_ Automatic Variables in Output Data Set _TYPE_ contains information about class variables 1 _TYPE_ is numeric by default if 32 or less classification variables are specified, and character otherwise. 2 if CHARTYPE option is specified in PROC MEANS statement then _TYPE_ is character. 3 the character value of _TYPE_ is the binary representation of the numeric values. For instances, if three classification variables are specified in this order: A then B then C, then 011 (value of 3) is the subgroup represented by B*C; 101 (value of 5) is for A*C; 100 (value of 4) is for A; etc. _FREQ_ contains the number of observations that a given output level represents. wang (WMU) Basic Concepts 6 Lecture 8 20 / 27
67 WAYS and TYPES Statements Both statements are used to select a subsets of class combinations. TYPES request(s); For instances, TYPES (A B)*C;, TYPES (A B)*(C D);, TYPES ();. WAYS list; For instances, WAYS 0 TO 2;, WAYS 1,3;. Output data are arranged in ascending order of _TYPE_ unless otherwise DESCENDTYPES option is specified in PROC MEANS statement. wang (WMU) Basic Concepts 6 Lecture 8 21 / 27
68 WAYS and TYPES Statements Both statements are used to select a subsets of class combinations. TYPES request(s); For instances, TYPES (A B)*C;, TYPES (A B)*(C D);, TYPES ();. WAYS list; For instances, WAYS 0 TO 2;, WAYS 1,3;. Output data are arranged in ascending order of _TYPE_ unless otherwise DESCENDTYPES option is specified in PROC MEANS statement. wang (WMU) Basic Concepts 6 Lecture 8 21 / 27
69 WAYS and TYPES Statements Both statements are used to select a subsets of class combinations. TYPES request(s); For instances, TYPES (A B)*C;, TYPES (A B)*(C D);, TYPES ();. WAYS list; For instances, WAYS 0 TO 2;, WAYS 1,3;. Output data are arranged in ascending order of _TYPE_ unless otherwise DESCENDTYPES option is specified in PROC MEANS statement. wang (WMU) Basic Concepts 6 Lecture 8 21 / 27
70 WAYS and TYPES Statements Both statements are used to select a subsets of class combinations. TYPES request(s); For instances, TYPES (A B)*C;, TYPES (A B)*(C D);, TYPES ();. WAYS list; For instances, WAYS 0 TO 2;, WAYS 1,3;. Output data are arranged in ascending order of _TYPE_ unless otherwise DESCENDTYPES option is specified in PROC MEANS statement. wang (WMU) Basic Concepts 6 Lecture 8 21 / 27
71 WAYS and TYPES Statements Both statements are used to select a subsets of class combinations. TYPES request(s); For instances, TYPES (A B)*C;, TYPES (A B)*(C D);, TYPES ();. WAYS list; For instances, WAYS 0 TO 2;, WAYS 1,3;. Output data are arranged in ascending order of _TYPE_ unless otherwise DESCENDTYPES option is specified in PROC MEANS statement. wang (WMU) Basic Concepts 6 Lecture 8 21 / 27
72 Outline 1 Use of Byline Information in Title Lines By-Group Processing 2 PROC Report Use of PROC Report PROC REPORT Statement Selected Statements Used in PROC Report 3 PROC Means Comparing PROC Means and PROC Summary Understanding the Use of Variables in PROC Means Available Statistics in PROC Means Creating SAS Data Set with PROC Means 4 PROC Freq The Use of PROC Freq PROC FREQ Statement Statements Used in PROC Freq wang (WMU) Basic Concepts 6 Lecture 8 22 / 27
73 What PROC Freq Does Produce one-way frequency tables, by default, of all variables. Statistics can be computed to test for equal proportions, specified proportions, or the binomial proportion. Can produce multi-way frequency and crosstabulation (contingency) tables. Statistics can be computed for the examination of the relationships between two classification variables adjusting for any stratification variables. wang (WMU) Basic Concepts 6 Lecture 8 23 / 27
74 What PROC Freq Does Produce one-way frequency tables, by default, of all variables. Statistics can be computed to test for equal proportions, specified proportions, or the binomial proportion. Can produce multi-way frequency and crosstabulation (contingency) tables. Statistics can be computed for the examination of the relationships between two classification variables adjusting for any stratification variables. wang (WMU) Basic Concepts 6 Lecture 8 23 / 27
75 What PROC Freq Does Produce one-way frequency tables, by default, of all variables. Statistics can be computed to test for equal proportions, specified proportions, or the binomial proportion. Can produce multi-way frequency and crosstabulation (contingency) tables. Statistics can be computed for the examination of the relationships between two classification variables adjusting for any stratification variables. wang (WMU) Basic Concepts 6 Lecture 8 23 / 27
76 PROC FREQ Statement PROC FREQ <options>; Options include DATA=: specifies the input data set. COMPRESS: begins next one-way table on current page. FORMCHAR=: specifies outline and cell divider characters in crosstabulation table. NLEVELS: displays the number of levels for all TABLES variables. NOPRINT: suppresses all displayed output. ORDER=: specifies the order for listing variable values. PAGE: displays one table per page. wang (WMU) Basic Concepts 6 Lecture 8 24 / 27
77 PROC FREQ Statement PROC FREQ <options>; Options include DATA=: specifies the input data set. COMPRESS: begins next one-way table on current page. FORMCHAR=: specifies outline and cell divider characters in crosstabulation table. NLEVELS: displays the number of levels for all TABLES variables. NOPRINT: suppresses all displayed output. ORDER=: specifies the order for listing variable values. PAGE: displays one table per page. wang (WMU) Basic Concepts 6 Lecture 8 24 / 27
78 PROC FREQ Statement PROC FREQ <options>; Options include DATA=: specifies the input data set. COMPRESS: begins next one-way table on current page. FORMCHAR=: specifies outline and cell divider characters in crosstabulation table. NLEVELS: displays the number of levels for all TABLES variables. NOPRINT: suppresses all displayed output. ORDER=: specifies the order for listing variable values. PAGE: displays one table per page. wang (WMU) Basic Concepts 6 Lecture 8 24 / 27
79 PROC FREQ Statement PROC FREQ <options>; Options include DATA=: specifies the input data set. COMPRESS: begins next one-way table on current page. FORMCHAR=: specifies outline and cell divider characters in crosstabulation table. NLEVELS: displays the number of levels for all TABLES variables. NOPRINT: suppresses all displayed output. ORDER=: specifies the order for listing variable values. PAGE: displays one table per page. wang (WMU) Basic Concepts 6 Lecture 8 24 / 27
80 PROC FREQ Statement PROC FREQ <options>; Options include DATA=: specifies the input data set. COMPRESS: begins next one-way table on current page. FORMCHAR=: specifies outline and cell divider characters in crosstabulation table. NLEVELS: displays the number of levels for all TABLES variables. NOPRINT: suppresses all displayed output. ORDER=: specifies the order for listing variable values. PAGE: displays one table per page. wang (WMU) Basic Concepts 6 Lecture 8 24 / 27
81 PROC FREQ Statement PROC FREQ <options>; Options include DATA=: specifies the input data set. COMPRESS: begins next one-way table on current page. FORMCHAR=: specifies outline and cell divider characters in crosstabulation table. NLEVELS: displays the number of levels for all TABLES variables. NOPRINT: suppresses all displayed output. ORDER=: specifies the order for listing variable values. PAGE: displays one table per page. wang (WMU) Basic Concepts 6 Lecture 8 24 / 27
82 PROC FREQ Statement PROC FREQ <options>; Options include DATA=: specifies the input data set. COMPRESS: begins next one-way table on current page. FORMCHAR=: specifies outline and cell divider characters in crosstabulation table. NLEVELS: displays the number of levels for all TABLES variables. NOPRINT: suppresses all displayed output. ORDER=: specifies the order for listing variable values. PAGE: displays one table per page. wang (WMU) Basic Concepts 6 Lecture 8 24 / 27
83 PROC FREQ Statement PROC FREQ <options>; Options include DATA=: specifies the input data set. COMPRESS: begins next one-way table on current page. FORMCHAR=: specifies outline and cell divider characters in crosstabulation table. NLEVELS: displays the number of levels for all TABLES variables. NOPRINT: suppresses all displayed output. ORDER=: specifies the order for listing variable values. PAGE: displays one table per page. wang (WMU) Basic Concepts 6 Lecture 8 24 / 27
84 Statements Used in PROC Freq BY statement: By-group processing. TABLES statement: requests tables and statistics. TEST statement: requests asymptotic tests for the specified measures of association and measures of agreement. EXACT statement: requests exact tests or confidence limits for the specified statistics. OUTPUT statement: creates a SAS data set containing statistics computed by PROC Freq. WEIGHT statement: specifies a numeric variable with a value that represents the frequency of the observation. wang (WMU) Basic Concepts 6 Lecture 8 25 / 27
85 Statements Used in PROC Freq BY statement: By-group processing. TABLES statement: requests tables and statistics. TEST statement: requests asymptotic tests for the specified measures of association and measures of agreement. EXACT statement: requests exact tests or confidence limits for the specified statistics. OUTPUT statement: creates a SAS data set containing statistics computed by PROC Freq. WEIGHT statement: specifies a numeric variable with a value that represents the frequency of the observation. wang (WMU) Basic Concepts 6 Lecture 8 25 / 27
86 TABLES Statement TABLES requests < / options >; where requests are in the form variable by itself requests one-way table variable-1*variable-2*... variable-n requests n-way table; the last two variables in the request constitute row and column while others define strata. Can use parentheses for grouping. For instances, TABLES A*(B C);, and TABLES (A B)*(C D);. Can use variable-list shortcuts. For instance, TABLES A * (B-D) * (E1-E3);. wang (WMU) Basic Concepts 6 Lecture 8 26 / 27
87 TABLES Statement TABLES requests < / options >; where requests are in the form variable by itself requests one-way table variable-1*variable-2*... variable-n requests n-way table; the last two variables in the request constitute row and column while others define strata. Can use parentheses for grouping. For instances, TABLES A*(B C);, and TABLES (A B)*(C D);. Can use variable-list shortcuts. For instance, TABLES A * (B-D) * (E1-E3);. wang (WMU) Basic Concepts 6 Lecture 8 26 / 27
88 TABLES Statement TABLES requests < / options >; where requests are in the form variable by itself requests one-way table variable-1*variable-2*... variable-n requests n-way table; the last two variables in the request constitute row and column while others define strata. Can use parentheses for grouping. For instances, TABLES A*(B C);, and TABLES (A B)*(C D);. Can use variable-list shortcuts. For instance, TABLES A * (B-D) * (E1-E3);. wang (WMU) Basic Concepts 6 Lecture 8 26 / 27
89 TABLES Statement TABLES requests < / options >; where requests are in the form variable by itself requests one-way table variable-1*variable-2*... variable-n requests n-way table; the last two variables in the request constitute row and column while others define strata. Can use parentheses for grouping. For instances, TABLES A*(B C);, and TABLES (A B)*(C D);. Can use variable-list shortcuts. For instance, TABLES A * (B-D) * (E1-E3);. wang (WMU) Basic Concepts 6 Lecture 8 26 / 27
90 TABLES Statement TABLES requests < / options >; where requests are in the form variable by itself requests one-way table variable-1*variable-2*... variable-n requests n-way table; the last two variables in the request constitute row and column while others define strata. Can use parentheses for grouping. For instances, TABLES A*(B C);, and TABLES (A B)*(C D);. Can use variable-list shortcuts. For instance, TABLES A * (B-D) * (E1-E3);. wang (WMU) Basic Concepts 6 Lecture 8 26 / 27
91 OUTPUT Statement OUTPUT <OUT= SAS-data-set> options ; Only one OUTPUT statement is allowed. A TABLES statement is required to go with the OUTPUT statement. If multiple TABLES statements are specified, the contents of the OUTPUT data set correspond to the last TABLES statement. If multiple tables are requested in a TABLES statement, the contents of the OUTPUT data set correspond to the last table request. wang (WMU) Basic Concepts 6 Lecture 8 27 / 27
92 OUTPUT Statement OUTPUT <OUT= SAS-data-set> options ; Only one OUTPUT statement is allowed. A TABLES statement is required to go with the OUTPUT statement. If multiple TABLES statements are specified, the contents of the OUTPUT data set correspond to the last TABLES statement. If multiple tables are requested in a TABLES statement, the contents of the OUTPUT data set correspond to the last table request. wang (WMU) Basic Concepts 6 Lecture 8 27 / 27
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