By Der, Geoff; Everitt, Brian S
Advent to SAS advent consumer Interface SAS Language interpreting Data-The info Step editing SAS facts Proc Step worldwide Statements SAS portraits ODS-The Output supply process bettering Output a few suggestions for fighting and Correcting error facts Description and straightforward Inference: Mortality and Water Hardness within the uk creation equipment of research research utilizing SAS easy Inference for Categorical info: From Sandflies to natural Particulates within the Air creation equipment of research research utilizing SAS research of Variance I: Treating Hypert. Read more...
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Extra info for A Handbook of Statistical Analyses using SAS, Third Edition
Roughly speaking, each SAS procedure performs a specific type of analysis. The proc step is a block of statements that specify the data set to be analysed, the procedure to be used and any further details of the analysis. The step begins with a proc statement and ends with a run statement or when the next data or proc step starts. We recommend including a run statement for every proc step. 1 Proc Statement The proc statement names the procedure to be used and may also specify options for the analysis.
The iterative do loop repeats the statements between the do and the end a fixed number of times, with an index variable changing at each repetition. When used to process each of the variables in an array, the do loop should start with the index variable equal to 1 and end when it equals the number of variables in the array. The array is a shorthand way of referring to a group of variables. In effect, it provides aliases for them so that each variable can be referred to by using the name of the array and its position within the array in braces.
Dat. To read in the data in the column form of input the statement would be input name $ 1-18 team $ 20-25 startweight 27-29 weightnow 31-33; As can be seen, the difference between the two forms of input statement is simply that the columns containing the data values for each variable are specified after the variable name, or after the dollar in the case of a character variable. 5 Hypothetical Slimming Data with Members’ Names David Shaw Amelia Serrano Alan Nance Ravi Sinha Ashley McKnight Jim Brown Susan Stewart Rose Collins Jason Schock Kanoko Nagasaka Richard Rose Li-Hwa Lee Charlene Armstrong Bette Long Yao Chen Kim Blackburn Adrienne Fink Lynne Overby John VanMeter Becky Redding Margie Vanhoy Hisashi Ito Deanna Hicks Holly Choate Raoul Sanchez Jennifer Brooks Asha Garg Larry Goss Red Yellow Red Yellow Red Yellow Blue Green Blue Green Blue Green Yellow Green Blue Red Green Red Blue Green Yellow Red Blue Red Green Blue Yellow Yellow 189 145 210 194 127 220 135 155 187 135 181 141 152 156 196 148 156 138 180 135 146 155 134 141 189 138 148 188 165 124 192 177 118 127 141 172 122 166 129 139 137 180 135 142 125 167 123 132 142 122 130 172 127 132 174 necessary to give the one column number.
A Handbook of Statistical Analyses using SAS, Third Edition by Der, Geoff; Everitt, Brian S