plot,ihwResult-method {IHW} | R Documentation |
See the vignette for usage examples.
## S4 method for signature 'ihwResult' plot( x, x_axis = c(weights = "group", decisionboundary = "covariate")[what], what = "weights", scale = covariate_type(x) )
x |
Object of class |
x_axis |
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what |
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scale |
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A ggplot2
object.
save.seed <- .Random.seed; set.seed(1) X <- runif(20000, min = 0.5, max = 4.5) # covariate H <- rbinom(20000, 1, 0.1) # hypothesis true or false Z <- rnorm(20000, H*X) # z-score .Random.seed <- save.seed pvalue <- 1-pnorm(Z) #pvalue ihw_res <- ihw(pvalue, X, .1) plot(ihw_res)