Plot bayesTest objects

Plot method for objects of class "bayesTest".

# S3 method for bayesTest
plot(
  x,
  percentLift = rep(0, length(x$posteriors)),
  priors = TRUE,
  posteriors = TRUE,
  samples = TRUE,
  ...
)

Arguments

x	an object of class "bayesTest"
percentLift	a vector of length(x$posteriors). Each entry corresponds to the percent lift ((A - B) / B) to plot for for the respective posterior in x. Note this is on a 'point' scale. percentLift = 5 implies you want to test for a 5% lift.
priors	logical indicating whether prior plots should be generated.
posteriors	logical indicating whether posterior plots should be generated.
samples	logical indicating whether sample plots should be generated.
...	graphics parameters to be passed to the plotting routines. (For example p, in prior plots)

Note

You can either directly plot a bayesTest object (in which case it will plot interactively), or you can save the plot object to a variable and extract what you need separately. If extracted, you can treat it like any ggplot2 object and modify it accordingly.

Plots are slightly truncated on the extremes to solve the general case of potentially long tail-ends.

Examples

A_pois <- rpois(100, 5)
B_pois <- rpois(100, 4.7)

AB1 <- bayesTest(A_pois, B_pois, priors = c('shape' = 25, 'rate' = 5), distribution = 'poisson')

plot(AB1)
plot(AB1, percentLift = 5)

# \donttest{
    p <- plot(AB1)
    p$posteriors$Lambda
# }
if (FALSE) p$posteriors$Lambda + ggtitle('yolo') # modify ggplot2 object directly