Experiment design variants evaluation table GUI

A computer-program product tangibly embodied in a non-transitory machine-readable storage medium, the computer-program product including instructions operable to cause at least one processor to perform operations comprising:

• receive, from an input device communicatively coupled to the at least one processor, indications of selections, from among a predefined set of parameters of an experiment design, of a subset of parameters of the experiment design that are to be varied to generate a set of variants of the experiment design, wherein:
• the experiment design is associated with a model of a system under evaluation;
• the model comprises a set of terms as inputs to the model, and a set of responses as outputs from the model;
• and
• each term of the set of terms comprises at least one factor of a set of factors that are inputs to the system under evaluation;
• receive, from the input device, indications of at least a first subset of terms of the set of terms that are to be estimated based on the model;
• generate the set of variants based on the subset of parameters of the experiment design that are to be varied;
• for each variant, perform operations comprising:
• estimate at least the first subset of terms based on the model;
• and
• derive at least one optimality value indicative of at least one type of optimality of the variant;
• and
• provide a table portion of a graphical user interface (GUI), wherein the at least one processor is caused to perform operations comprising:
• present, on a display communicatively coupled to the at least one processor, a table of the set of variants, wherein the table comprises:
• a column for each parameter of the subset of parameters of the experiment design to generate the set of variants;
• at least one column for the at least one optimality value;
• a row for each variant, wherein the row extends through each column to provide a location at which a value associated with the variant for each value of a parameter of the subset of parameters is presented, and to provide a location at which a value associated with the variant for each type of optimality of the at least one type of optimality of the variant is presented;
• and
• for each column of the table, a bar graph of a distribution of the values presented in the column across all of the rows of the table;
• present, on the display, along with the table, a set of function controls operable to select a function to become a current function to perform on at least one row of the table in response to a selection of a bar of a bar graph of a column;
• monitor the input device for an indication of operation of a function control to select a function to become the current function, or for an indication of a selection of a bar of a bar graph of a column;
• in response to operation of a function control to select a function, change the current function to the selected function;
• and
• in response to a selection of a bar of a bar graph of a column, perform the current function on at least one row of the table based on all instances within the column of the value associated with selected bar.

A computer-implemented method comprising:

• receiving, by at least one processor, and from an input device communicatively coupled to the at least one processor, indications of selections, from among a predefined set of parameters of an experiment design, of a subset of parameters of the experiment design that are to be varied to generate a set of variants of the experiment design, wherein:
• the experiment design is associated with a model of a system under evaluation;
• the model comprises a set of terms as inputs to the model, and a set of responses as outputs from the model;
• and
• each term of the set of terms comprises at least one factor of a set of factors that are inputs to the system under evaluation;
• receiving, by the at least one processor, and from the input device, indications of at least a first subset of terms of the set of terms that are to be estimated based on the model;
• generating, by the at least one processor, the set of variants based on the subset of parameters of the experiment design that are to be varied;
• for each variant, performing operations comprising:
• estimating, by the at least one processor, at least the first subset of terms based on the model;
• and
• deriving, by the at least one processor, at least one optimality value indicative of at least one type of optimality of the variant;
• and
• providing, by the at least one processor, a table portion of a graphical user interface (GUI), wherein the method comprises performing operations comprising:
• presenting, by the at least one processor, and on a display communicatively coupled to the at least one processor, a table of the set of variants, wherein the table comprises:
• a column for each parameter of the subset of parameters of the experiment design to generate the set of variants;
• at least one column for the at least one optimality value;
• a row for each variant, wherein the row extends through each column to provide a location at which a value associated with the variant for each value of a parameter of the subset of parameters is presented, and to provide a location at which a value associated with the variant for each type of optimality of the at least one type of optimality of the variant is presented;
• and
• for each column of the table, a bar graph of a distribution of the values presented in the column across all of the rows of the table;
• presenting, by the at least one processor, and on the display, along with the table, a set of function controls operable to select a function to become a current function to perform on at least one row of the table in response to a selection of a bar of a bar graph of a column;
• monitoring, by the at least one processor, the input device for an indication of operation of a function control to select a function to become the current function, or for an indication of a selection of a bar of a bar graph of a column;
• in response to operation of a function control to select a function, changing the current function to the selected function;
• and
• in response to a selection of a bar of a bar graph of a column, performing, by the at least one processor, the current function on at least one row of the table based on all instances within the column of the value associated with selected bar.