FIND (version 0.1.1)

summarize_metric: Summarize after conducting simulations

Description

Summarize after conducting simulations

Usage

summarize_metric(select.perc,
                        stop.perc,
                        nptsdose,
                        npts,
                        mtd.true)

Value

summarize_metric() returns:

(1) a dataframe ($selection) with each column showing: the numbered index for each scenarios specified, the selection percentage at each dose level, the percentage of early stopping without selecting the MTD, the percentage of overdosing selection (POS), the percentage of correct selection (PCS), the percentage of underdosing selection (PUS), respectively.

(2) a dataframe ($allocation) with each column showing: the numbered index for each scenarios specified, the number of participants treated at each dose level, the average number of participants treated, the percentage of overdosing allocation (POA), the percentage of correct allocation (PCA), the percentage of underdosing allocation (PUA), respectively.

Arguments

select.perc

the selection percentage for each dose.

stop.perc

the percentage of early stopping without selecting the MTD.

nptsdose

the number of participants treated for each dose.

npts

the average number of participants treated.

mtd.true

a vector (or a matrix) with the same dimension as the vector (or matrix) containing the true toxicity probabilities ($p.true). It should takes value of 0 or 1, and 1 specifies the true MTD.

Examples

summarize_metric(select.perc = c(0.588, 0.218, 0.025, 0.0, 0.0, 0.0),
                           stop.perc = 0.168,
                           nptsdose = c(20.53, 9.03, 2.48, 0.29, 0.01, 0.00),
                           npts = 32.4,
                           mtd.true = c(1,0,0,0,0,0))