The fundamental method of modifying the data in a data set is by way of a basic assignment statement. Such a statement always takes the form:
variable = expression;
where variable is any valid SAS name and expression is the calculation that is necessary to give the variable its values. The variable must always appear to the left of the equal sign and the expression must always appear to the right of the equal sign. As always, the statement must end with a semicolon (;).
Because assignment statements involve changing the values of variables, in the process of learning about assignment statements we'll get practice with working with both numeric and character variables. We'll also learn how using numeric SAS functions can help to simplify some of our calculations.
Example 4.1. Throughout this lesson, we'll work on modifying various aspects of the temporary data set grades that is created in the following DATA step:
The data set contains student names (name), each of their four exam grades (e1, e2, e3, e4), their project grade (p1), and their final exam grade (f1).
A couple of comments. For the sake of the examples that follow, we'll use the DATALINES statement to read in the data. We could have just as easily used the INFILE statement. Additionally, for the sake of ease, we'll create temporary data sets rather than permanent ones. Finally, after each SAS DATA step, we'll use the PRINT procedure to print all or part of the resulting SAS data set for your perusal.
Example 4.2. The following SAS program illustrates a very simple assignment statement in which SAS adds up the four exam scores of each student and stores the result in a new numeric variable called examtotal.
Note that, as previously described, the new variable name examtotal appears to the left of the equal sign, while the expression that adds up the four exam scores (e1+e2+e3+e4) appears to the right of the equal sign.
Launch and run the SAS program. Review the output from the PRINT procedure to convince yourself that the new numeric variable examtotal is indeed the sum of the four exam scores for each student appearing in the data set. Also note what SAS does when it is asked to calculate something when some of the data are missing. Rather than add up the three exam scores that do exist for John Simon, SAS instead assigns a missing value to his examtotal. If you think about it, that's a good thing! Otherwise, you'd have no way of knowing that his examtotal differed in some fundamental way from that of the other students. The important lesson here is to always be aware of how SAS is going to handle the missing values in your data set when you perform various calculations!
Example 4.3. In the previous example, the assignment statement created a new variable in the data set by simply using a variable name that didn't already exist in the data set. You need not always use a new variable name. Instead, you could modify the values of a variable that already exists. The following SAS program illustrates how the instructor would modify the variable e2, say for example, if she wanted to modify the grades of the second exam by adding 8 points to each student's grade:
Note again that the name of the variable being modified (e2) appears to the left of the equal sign, while the arithmetic expression that tells SAS to add 8 to the second exam score (e2+8) appears to the right of the equal sign. In general, when a variable name appears on both sides of the equal sign, the original value on the right side is used to evaluate the expression. The result of the expression is then assigned to the variable on the left side of the equal sign.
Launch and run the SAS program. Review the output from the print procedure to convince yourself that the values of the numeric variable e2 are indeed eight points higher than the values in the original data set.
Biology 30: Module 4: Lesson 21Assignment MODULE4: LESSON2 ASSIGNMENT This Module 4: Lesson 2 Assignment is worth 10 marks. The value of each assignment and each question is stated in the left margin. (10 marks) Lesson 2 Assignment: Genetic, Hormonal & Environmental Effects on Embryonic and Fetal Development (10 marks) 1. Complete the table below by researching factors that affect embryonic and fetal development. Examine the examples given for each Affecting Factor then complete the one other factor given and provide one of your own choices. For each Affecting Factor, describe how it will affect embryonic tissue development and fetal development. TABLE1: GENETIC, HORMONAL& ENVIRONMENTALEFFECTSONEMBRYONICANDFETALDEVELOPMENTAffecting Factors Embryonic Tissue Development – 1sttrimester (0 to 12 weeks) Effects on Fetal Development Ectoderm Mesoderm Endoderm 2ndTrimester (12 to 24 weeks) 3rdTrimester (24to 36 weeks) Genetic: e.g. Colour Blindness Eyes form, but eyelids are fused shut. Cone development would be affected here. Mesoderm deals with bones, muscles and blood. Color blindness does not affect these Deals with internal organs, so color blindness would not affect the endoderm Eyes are well developed but are still fused shut. Eyes are open, and eyelashes form. x-rays High radiation processes such as x-rays can mutations in each the ectoderm, mesoderm, and endoderm.