plot-ihwResult-ANY-method: Plot functions for IHW
In IHW: Independent Hypothesis Weighting

Description Usage Arguments Value Examples

See the vignette for usage examples.

## S4 method for signature 'ihwResult,ANY'
plot(x, x_axis = c(weights = "group",
  decisionboundary = "covariate")[what], what = "weights",
  scale = covariate_type(x))

`x`	Object of class `ihwResult`
`x_axis`	`Character`: "group" or "covariate". Default is "group" if "what" is "weights", and "covariate" if "what" is "decisionboundary".
`what`	`Character`: "weights" or "decisionboundary"
`scale`	`Character`: "ordinal" or "nominal"

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)