Data Analysis
Type : CREATION_INTERNE
Data is dynamically created within the script using the DATALINES statement and iterative loops.
1 Code Block
DATA STEP Data
Explanation :
Creation of the 'Cheese' dataset containing taste rating frequencies for each additive. Use of ' @@' syntax to read multiple observations per data line.
Creation of the 'Cheese' dataset containing taste rating frequencies for each additive. Use of ' @@' syntax to read multiple observations per data line.
Copied!
| 1 | title 'Example 3: Ordinal Logistic Regression'; |
| 2 | |
| 3 | DATA Cheese; |
| 4 | DO Additive = 1 to 4; |
| 5 | DO y = 1 to 9; |
| 6 | INPUT freq @code_sas_json/8_SAS_Intro_ReadFile_MultiCol_@@.json; |
| 7 | OUTPUT; |
| 8 | END; |
| 9 | END; |
| 10 | label y='Taste Rating'; |
| 11 | DATALINES; |
| 12 | 0 0 1 7 8 8 19 8 1 |
| 13 | 6 9 12 11 7 6 1 0 0 |
| 14 | 1 1 6 8 23 7 5 1 0 |
| 15 | 0 0 0 1 3 7 14 16 11 |
| 16 | ; |
2 Code Block
PROC HPLOGISTIC
Explanation :
Execution of the high-performance logistic regression procedure. The model uses 'freq' as the weighting variable and 'Additive' as the categorical explanatory variable (reference='4').
Execution of the high-performance logistic regression procedure. The model uses 'freq' as the weighting variable and 'Additive' as the categorical explanatory variable (reference='4').
Copied!
| 1 | PROC HPLOGISTIC DATA=Cheese; |
| 2 | freq freq; |
| 3 | class Additive(ref='4') / param=ref ; |
| 4 | model y=Additive; |
| 5 | title 'Multiple Response Cheese Tasting Experiment'; |
| 6 | RUN; |
This material is provided "as is" by We Are Cas. There are no warranties, expressed or implied, as to merchantability or fitness for a particular purpose regarding the materials or code contained herein. We Are Cas is not responsible for errors in this material as it now exists or will exist, nor does We Are Cas provide technical support for it.
Copyright Info : SAS SAMPLE LIBRARY
