For experiments that require multiple runs (e.g. Monte Carlo, parameter variation, etc.), specific types of output charts are available in AnyLogic Cloud:
Mean and error plot displays the mean value of calculated data and how it varies. A single data point represents the mean value of data and error bars represent the overall data distribution, i.e. the margin of error. The size of the error bar represents the confidence level for the calculated mean value: the more lower and upper edges of the error bar deviate from the mean point, the less confident this calculation is.
Box plot displays probability distribution for sets of data in quartiles:
Box plot also
displays data values that lay outside of the 1st and 3rd quartiles - in
the form of vertical segments commonly known as whiskers. The whiskers
extend to the maximum and minumum observed values of the data set. Data
outliers are plotted as individual points.
Scatter diagram represents the dependency between two variables: an independent variable, whose value is changed according to the specified rule and the dependent variable, whose value is calculated according to the changes of independent variable. The values are plotted as a collection of individual points, where the value of independent variable determines the point's position on the X axis, and the value of the dependent variable determines its position on the Y axis.
Density plot represents the probability distribution of value in a
data set. The values of the data set from each run are plotted in a
line along the X axis, and after multiple runs the areas of the plot
with the highest probability density will overlap. The value along the
Y axis represents the probability density
of the corresponding value along the X axis.
Tutorial: Exporting a model to
AnyLogic Cloud options