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covariate_table#
View page sourceThe Covariate Table#
Discussion#
The covariate table is used to identify
covariate columns in the
data table.
It has the following columns:
covariate_id#
This column has type integer and is the primary key for this table.
Its initial value is zero, and it increments by one for each row.
covariate_name#
This column has type text and has a different value for every row;
i.e., the names are unique and can act as substitutes for the primary key.
The names are intended to be easier for a human to remember than the ids.
reference#
The column has type real and is
the reference value for the corresponding covariate; i.e.,
the covariate value that corresponds to no adjustment.
max_difference#
The column has type real and is
the maximum absolute difference, from the reference value,
for the corresponding covariate.
This value must be greater than or equal zero.
The max_difference value null is interpreted
as plus infinity and hence no exclusion is done for the corresponding
covariate.
Data Subset Table#
Rows in the data table for which the
covariate
corresponding to this covariate_id
has a maximum absolute difference greater than max_difference ,
are not included in the data_subset_table and the
fit_data_subset_table .
Avgint Subset#
Rows in the avgint_table for which the covariate corresponding to this covariate_id has a maximum absolute difference greater than max_difference , are not included in the predict_table ; see the heading Covariates for the predict table .
Example#
The file covariate_table.py
contain example covariate table.