SAS Viya Network Analysis and Optimization Tree level 1.

To create a new variable by recoding an old one, select 'Modify' and then 'Recode a variable' from the File pull-down menu on the main window. Tip. In this step, you will use the proc means procedure to check for missing, … Here is an example to change all character or numeric values using ARRAYS. Node 1 of 3. Values are displayed and printed as uppercase. Step 1: Identify missing and unavailable values. Definition: special missing value. The missing function can also be used to count the number of missing values and ultimately determine the proportion of missing values. Tips : SAS accepts either uppercase or lowercase letters. This new variable is added to the current data set. In this way, the MISS_FLAG will take the value of 1 when AgeCHDdiag is missing, and 0 when it is not.

Creating Special Missing Values.

; run; Something similar to this answer is in this SO answer and a SAS Communities answer HERE.. data HAVE; Length id $5 var1 var2 var3 var4 var5 $15; Input id $ var1 $ var2 $ var3 $ var4 $ var5 $ num1 num2 num3; datalines; 00001 NA VALUE NA VALUE NA . List Data ... About the Recode Values Task Tree level 3.

Node 3 of 15 . To recode values in a data set: Select the input data source. Recode a Variable. By using special missing values, each of these can be tabulated separately, but the variables are still treated as missing by SAS in data analysis. In this example, we create the MISS_FLAG variable by setting it equal to the output of the MISSING function used on AgeCHDdiag. Task 1a: How to Identify and Recode Missing Data in NHANES Using SAS. SAS/LAB software provides facilities for creating a new variable that is a recoding of an existing variable in the same data set. data survey; missing A I R; input id q1; cards; 8401 2 8402 A 8403 1 8404 1 8405 2 8406 3 8407 A 8408 1 8408 R 8410 2 ; proc format; value q1f .A='Not home' .R='Refused' ; run; proc freq data=survey; table q1 / missprint; format q1 q1f. is a type of numeric missing value that enables you to represent different categories of missing data by using the letters A-Z or an underscore. When you check for ordinary missing numeric values, you can use code that is similar to the following: if numvar=. Select the data set for the example …

Node 19 of 23. If you recorded the missing values for a string variable using some kind of non-blank indicator (for example, 999 or -999) and have already defined that user-missing value in the Variable View window, Automatic Recode will preserve the 'missing' designation, but will still convert the category code to be in the range of the other categories..

SAS Viya Econometrics ... Recode Values in Your Data. You can use the N and NMISS functions to return the number of nonmissing and missing values, respectively, from a list of numeric arguments. If the data set is not available from the drop-down list, click .

Describe Missing Data Tree level 2. In the Select a Table window, expand the library that contains the data set that you want to use. The first task is to identify missing data and recode it Here are the steps: Identify missing and unavailable values; Recode unavailable values as missing ; Evaluate extent of missing data .

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