designOptim | R Documentation |
Optimize N and R
designOptim(EDR.result, pilot.R, R = c(1/10, 1/8, 1/6, 1/4, 1/2, 1, 1.5,
2), N = seq(4, 50, 2), targetEDR = NULL, budget = NULL,
price_per_lane = 1500, fix_price_per_sample = 300,
depth_per_lane = 250)
EDR.result |
a MethylSeqDesign object |
pilot.R |
the sequencing depth of pilot data in number of lanes |
R |
the targeted sequencing depth in number of lanes, input can be a vector. |
N |
the targeted sample size per group, input can be a vector. |
targetEDR |
the target EDR to achieve |
budget |
the budget limit |
price_per_lane |
the price per lane for Methyl-Seq |
fix_price_per_sample |
the fixed part of the price per sample including the bisulfite treatment |
depth_per_lane |
the total number of reads per lane in millions |
a list of three elements. The first element gives the best N and R combination, and optimal EDR/cost given budget/target EDR. The second element is a plot of admissible/inadmissible N and R combinations. The third element is a plot of cost and EDR.
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