\(\newcommand{\B}[1]{ {\bf #1} }\) \(\newcommand{\R}[1]{ {\rm #1} }\) \(\newcommand{\W}[1]{ \; #1 \; }\)
sample_table#
View page sourceThe Sample Table: Samples of Variable Values#
Simulated Data#
The sample_command creates this table with one optimal estimates of the model_variables . For each valid simulate_index . in the data_sim_table , there is an equal sample_index in the table with the optimal variables for the corresponding measurement.
User’s Choice#
This table may also be created directly by the user, with the aid of the var_table . This is useful when one wants to use the predict_command with a specific set of variable values; e.g., the values in the fit_var_table .
sample_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.
sample_index#
This column has type integer and specifies the index,
in the data_sim table, that a complete set of model_variables ,
in the sample table, corresponds to.
If n_var is the number of rows in the var_table ,
sample_index =
mod( sample_id , n_var )
The range of sample_index is form zero to number_simulate minus one.
var_id#
This column has type integer and specifies the
model_variables
that var_value corresponds to;
see var_id .
If n_var and sample index are as above,
sample_id = sample_index * n_var + var_id
var_value#
This column type real and is the variable value
for this var_id and sample_index .
Example#
The sample_command.py is an example that creates this table.