### The Final Value Result

GoldSim 14 introduces
a powerful new result display option referred to as a Final Value Result. ** comparisons** of the final values of outputs for different
types of simulations. In order to use
them, you need to carefully specify

__what__you wish to compare and

__how__you want to display that comparison. Depending on how your model has been run (e.g., multiple realizations, multiple scenarios, multiple Capture Times) and the outputs you have specified to compare (e.g., one output, multiple outputs, vector results, matrix results), there can be a large variety of ways to display the comparison.

One of the simplest Final Value results you
might want to display is simply the comparison of multiple outputs for a
deterministic run or a single realization.
For such a result, there are three meaningful ways that you can choose
to display this in a Final Value result. This is a ** column chart**:

**:**

*bar chart***:**

*pie chart*We can make this “one-dimensional” data set
“two-dimensional” by running a Monte Carlo simulation. In this case, the final
values we would want to look at would likely be statistics (e.g., the mean or
some percentile). In this case, the tabular form of the
data would look like this (as in the previous case, the rows and columns can be
reversed):

Now that we have “two-dimensional” data, our charts can become a bit more interesting and we can explore and compare the results in different ways. For example, we could produce a

**column**

*clustered***chart like this:**

In this case, each group of columns represents a different statistic, and each column represents a different output.

These two displays are in the form of column
charts, but we also display bar chart versions of these same results. For
example, here is the clustered column chart above displayed as a clustered bar
chart:

We can also display
“two-dimensional” pie charts:

In this case, each pie represents a different statistic, with each pie slice representing a different output. Alternatively, however, we could specify that each pie represents a different output, and each pie slice represents a different statistic.

Finally, having a “two-dimensional” set of
data allows us to make use of ** stacked bar** and

**charts. That is, rather than presenting the data using groups of columns (or bars), we can present it using stacked columns (or bars):**

*stacked column***chart:**

*100% stacked column*For example, we could choose to display a
column chart showing all outputs and all statistics for a particular __scenario__
(in two different ways):

Alternatively, we
could choose to display a column chart showing all outputs and all scenarios
for a particular __statistic__ (in two different ways):

Finally, we could
choose to display a column chart showing all scenarios and all statistics for a
particular __output__ (in two different ways):

In this case, we produced six different column charts displaying these results in different ways (which allows you to emphasize different aspects of the results). Note that we could have also produced equivalent stacked column charts, bar charts, stacked bar carts, and pie charts (six different charts for each type of display).

The tabular view of this data would look like this (and could also be displayed in multiple ways, by switching what is displayed in the rows and columns):

In the case of
tables, unlike charts, the “third dimension” can be fully displayed (GoldSim
simply increases the number of columns).

The simple examples provided here do not cover all of the combinations of results that you can display (e.g., Final Value results can also display arrays and results for different Capture Times), but what you should conclude from this overview is the following:

- The Final Value result is very powerful and flexible, and allows you to produce a variety of charts and tables to display results at the end of the simulation (Final Values) or at defined Capture Times.
- At their most complex level, charts can display up to two “dimensions” of results from higher dimensional data sets (e.g., multiple outputs and multiple statistics for a single scenario; multiple outputs and multiple scenarios for a single statistic, multiple statistics and multiple scenarios for single output).
- Tables can display the full data set selected (by increasing the number of columns).
- The various charts and tables can be displayed and rearranged in a wide variety of ways, giving you great flexibility in order to emphasize specific aspects of the results.

## No comments:

## Post a Comment