Man pages for proteomicdesign
Optimization of a multi-stage proteomic study

calculate.costFunction to calculate the total cost of the multi-stage...
calculate.n3A function to calculate the stage III sample size based on...
do.one.experimentSimulation function for calculate the expected number of...
do.one.experiment.tSimulation function for calculating the expected number of...
Ftest.TtestA function to perform the paired t test for each protein, and...
genseq.apprA sub function to generate the sub solution space
genseq.groupA sub function to generate the sub solution space
genseq.singleA sub function to generate the sub solution space
optim.two.stage.apprOptimize numbers of discoveries by using an approximated...
optim.two.stage.groupOptimization of the design parameters in the discovery ,...
optim.two.stage.singleOptimization of the number of discoveries from a multistage...
ots.envassign the current working environment
powerThe power function used in the optim.two.stage.single...
power.apprThe power function used in the optim.two.stage.appr function
power.group.costDerive the averaged estimated costs of stage II and III and...
power.single.costDerive the averaged estimated costs of stage II and III and...
power.tThe power function used in the optim.two.stage.single...
proteomic.optim.two.stage.v2.0-packageOptimization of a multi stage proteomic study
TtestThe function to calculate the p values for each protein in...
proteomicdesign documentation built on May 2, 2019, 5:08 a.m.