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.kwargs
refers to the kew words. Here, it is possible to pass key-value pairs supported by aStatsPlots.plot
function.
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.kwargs
refers to the kew words. Here, it is possible to pass key-value pairs supported by aStatsPlots.plot
function.
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.kwargs
refers to the kew words. Here, it is possible to pass key-value pairs supported by aStatsPlots.plot
function.
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.kwargs
refers to the kew words. Here, it is possible to pass key-value pairs supported by aStatsPlots.heatmap
function.
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.kwargs
refers to the kew words. Here, it is possible to pass key-value pairs supported by aStatsPlots.violin
function.
Result
- A violin plot of the final imbalances.