By Michele Burlew
This version, which has been up to date for SAS9, contains over 3 dozen examples, together with element experiences (including directory chosen observations in one order, summarizing columns and rows, and offering lengthy textual content fields), precis reviews (including providing uncomplicated frequency counts and probabilities and growing multipage precis tables), personalized reviews (including customizing a presentation of analyses), and multipanel reviews, with examples displaying find out how to improve shows with ODS for PROC record and PROC TABULATE stories. advisor Burlew comprises details on developing the pattern info units the following and a beneficial cross-reference to the examples.
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Extra resources for SAS Guide to Report Writing: Examples
PROC PRINT reference, usage information, and additional examples. 1 Procedures Guide. 4 Summarizing the Rows of a Report Goal List observations in a data set and summarize selected numeric variables by groups. Present an overall summarization of the selected numeric variables at the end of the report. Report Regional Energy Quarterly Use by Residential and Commercial Customers Commercial =========== Commercial =========== Residential =========== Residential =========== Service Area Lights Flood Lights General Service Off Peak Other Service Space Heating Water Heating Area Lights Flood Lights General Service Off Peak Other Service Space Heating Water Heating -------First Quarter-------January February March 6,526 11,999 17,533 10,911 12,648 15,502 1,203 641 728 15,062 15,635 9,509 1,390 1,672 1,638 111 85 121 160 168 130 ======== ======== ======== 35,363 42,848 45,161 ======== ======== ======== -------Second Quarter------April May June 10,221 17,218 8,857 9,120 8,624 18,338 1,039 1,156 782 11,717 11,456 12,461 1,282 1,654 1,915 109 125 103 187 101 101 ======== ======== ======== 33,675 40,334 42,557 ======== ======== ======== 118 96 22,281 1,152 286 8,280 9,589 ======== 41,802 ======== 116 89 21,505 1,362 238 10,984 10,625 ======== 44,919 ======== 91 75 22,556 698 109 10,111 14,160 ======== 47,800 ======== 92 87 22,784 1,047 33 13,234 18,130 ======== 55,407 ======== 95 75 25,977 534 158 13,723 8,592 ======== 49,154 ======== 137 82 25,371 1,492 465 11,072 7,654 ======== 46,273 ======== ======== 77,165 ======== ======== 87,767 ======== ======== 92,961 ======== ======== 89,082 ======== ======== 89,488 ======== ======== 88,830 ======== Example Features Data Set POWERUSE Featured Step PROC REPORT Featured Step Statements and Options DEFINE statement: ANALYSIS, ORDER, and SUM options BREAK AFTER statement: SUMMARIZE option RBREAK AFTER statement: SUMMARIZE option Formatting Features Placing a heading over the headings of several variables (spanned header) Padding column headings with a character when sending output to the LISTING destination DEFINE statement: WIDTH option when sending output to the LISTING destination.
Chol/HDL Change' left width=14; Skip a line after each section that is grouped by GENDER when sending output to the LISTING destination. break after gender / skip; Compute two columns whose values are based on other columns. Reference these columns explicitly by number, because they do not have a single name to reference them. compute ratiopre; ratiopre=_c3_/_c4_; endcomp; compute ratiopost; ratiopost=_c5_/_c6_; endcomp; Chapter 2 Detail Reports 45 Compute an additional column based on the two computed columns, and reference these columns by name, even though their COMPUTE blocks use explicit column numbers to create them.
Note that TRI is not included in the final report. 7b Layout Created by Across Variables Input Data Set STUDYID GENDER TESTPERIOD CHOL 1001 F Pre 156 1001 F Post 150 1002 F Pre 151 1002 F Post 139 1003 F Pre 165 1003 F Post 149 HDL 48 50 50 54 51 51 TRI 134 127 102 81 114 101 Report Pre Program Results Chol HDL 156 48 151 50 165 51 Post Program Results Chol HDL 150 50 139 54 149 51 Putting Together the Pieces This example uses group and across variables together to reshape and present the data in one step.