weight_byEffect_cont: Weight for the different continuous effect sizes
In mshasan/OPWpaper1: Reproduce figures and simulations of OPWeight

Description Usage Arguments Details Value Author(s) See Also Examples

Compute weight from the the ranks probability given the effect sizes when the effect sizes are continuous.

1 2	weight_byEffect_cont(i, alpha, null, m, tail = 1L, delInterval, covariateEffectVec, datByNull)

`i`	Integer, i-th effect size of a vector of effects
`alpha`	Numeric, a significance level of the hypothesis tests
`null`	Numeric, proportion of true true null tests
`m`	Integer, total number of hypotheis tests
`tail`	Integer (1 or 2), right-tailed or two-tailed hypothesis test.
`delInterval`	Numeric, interval between the `delta` values of a sequence. Note that, `delta` is a Langrangian multiplier, necessary to normalize the weight
`covariateEffectVec`	A numeric vector of covariate effect sizes
`datByNull`	A numerics matrix of ranks pobabilities in which each column corresponds to an effect size

This function compute the weights when the effect sizes are continuous by applying the ranks probabilities of the different effect sizes. It applies the function function weight_continuous from the R package OPWeight to compute the weights from a ranks probability matirx.

A numeics matrix of weights in which each column corresponds to an effect size

Mohamad S. Hasan, shakilmohamad7@gmail.com

ranksProb_byEffect weight_continuous

# vector of effect sizes
covariateEffectVec <- c(1, 1.5, 2)

# compute probability matrix
ranksProb_byEffect <- sapply(1:length(covariateEffectVec), ranksProb_byEffect,
             null = .9, m = 100, covariateEffectVec = covariateEffectVec)

# compute weights
weightByEffect <- sapply(1:length(covariateEffectVec), weight_byEffect_cont,
                   alpha = .05, null = .9, m = 100, delInterval = .01,
                   covariateEffectVec = covariateEffectVec,
                   datByNull = ranksProb_byEffect)