Input - Aster Analytics

Teradata Aster® Analytics Foundation User GuideUpdate 2

Product
Aster Analytics
Release Number
7.00.02
Published
September 2017
Language
English (United States)
Last Update
2018-04-17
dita:mapPath
uce1497542673292.ditamap
dita:ditavalPath
AA-notempfilter_pdf_output.ditaval
dita:id
B700-1022
lifecycle
previous
Product Category
Software

This input is diabetes data from "Least Angle Regression," by Bradley Efron and others.

The input table has one response (vector y) and ten baseline predictors measured on 442 diabetes patients. The baseline predictors are age, sex, body mass index (bmi), mean arterial pressure (map) and six blood serum measurements (tc, ldl, hdl, tch, ltg, glu).

LARS Examples Input Table diabetes (Columns 1-6)
id age sex bmi map tc
1 0.0380759 0.0506801 0.0616962 0.0218724 -0.0442235
2 -0.00188202 -0.0446416 -0.0514741 -0.0263278 -0.00844872
3 0.0852989 0.0506801 0.0444512 -0.00567061 -0.0455994
4 -0.0890629 -0.0446416 -0.011595 -0.0366564 0.0121906
5 0.00538306 -0.0446416 -0.0363847 0.0218724 0.00393485
... ... ... ... ... ...
LARS Examples Input Table diabetes (Columns 7-12)
ldl hdl tch ltg glu y
-0.0348208 -0.0434008 -0.00259226 0.0199084 -0.0176461 151
-0.0191633 0.0744116 -0.0394934 -0.0683297 -0.092204 75
-0.0341945 -0.0323559 -0.00259226 0.00286377 -0.0259303 141
0.0249906 -0.0360376 0.0343089 0.022692 -0.00936191 206
0.0155961 0.00814208 -0.00259226 -0.0319914 -0.0466409 135
... ... ... ... ... ...

The column id is the row identifier, y is the response, and the other columns are predictors.

This data set is atypical in that each predictor has mean 0 and norm 1, which means that:

  • The value of the Normalize argument is irrelevant.
  • If the value of the Intercept argument is 'true', then the intercept is considered to be constant along the entire path (which is typically not true).