Visualizing operational characteristics
Incertus.plot — MethodFunction used to visualize simulated operational characteristics.
Call
plot(op; kwargs...)
Arguments
op::DataFrame– a data frame, containing simulated operational characteristics; each column represents simulated output for a particular randomization procedure.kwargsrefers to the kew words. Here, it is possible to pass key-value pairs supported by aStatsPlots.plotfunction.
Result
- A plot of corresponding operational chacteristics vs. allocation step
Incertus.plot — MethodFunction used to visualize simulated operational characteristics.
Call
plot(op; kwargs...)
Arguments
op::ARP– an instance ofARP, containing unconditional allocation probabilities.kwargsrefers to the kew words. Here, it is possible to pass key-value pairs supported by aStatsPlots.plotfunction.
Result
- A plot of corresponding operational chacteristics vs. allocation step
Incertus.plot — MethodFunction used to visualize simulated operational characteristics.
Call
plot(op; kwargs...)
Arguments
op::Vector{ARP}– a vector of instances ofARP, each containing unconditional allocation probabilities.kwargsrefers to the kew words. Here, it is possible to pass key-value pairs supported by aStatsPlots.plotfunction.
Result
- A plot of corresponding operational chacteristics vs. allocation step
Incertus.heatmap — MethodFunction used to visualize balance-randomness trade-off as a heatmap plot.
Call
heatmap(brt; kwargs...)
Arguments
brt::DataFrame– a data frame, containing simulated balance-randomness trade-off; each column represents simulated output for a particular randomization procedure.kwargsrefers to the kew words. Here, it is possible to pass key-value pairs supported by aStatsPlots.heatmapfunction.
Result
- A heatmap plot of the balance-randomness trade-off vs. allocation step
Incertus.violin — MethodFunction used to visualize a distribution of the final imbalance as a violin plot.
Call
violin(final_imb; kwargs...)
Arguments
final_imb::DataFrame– a data frame, containing simulated final imbalances; each column represents simulated output for a particular randomization procedure.kwargsrefers to the kew words. Here, it is possible to pass key-value pairs supported by aStatsPlots.violinfunction.
Result
- A violin plot of the final imbalances.