pplot

Description

Generates chronological and ordered p-plots for data vectors or vectors of p-values. The p-plot visualizes the evolution of the p-value of a significance test across the sampled data. It allows for assessing the consistency of the observed effects, for detecting the presence of potential moderator variables, and for estimating the influence of outlier values on the observed results. For non-significant findings, it can diagnose patterns indicative of underpowered study designs. The p-plot can thus either back the binary accept-vs-reject decision of common null-hypothesis significance tests, or it can qualify this decision and stimulate additional empirical work to arrive at more robust and replicable statistical inferences.

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Running examples in 'pplot-Ex.R' failed
The error most likely occurred in:

> ### Name: pplot.t.test
> ### Title: Generate p-plot from a series of data points
> ### Aliases: pplot.t.test
> ### Keywords: utilities
> 
> ### ** Examples
> 
> # Show p-plot for significant test (the simulation 
> # has a power of > 88% to return a significant 
> # effect).
> testdata <- rnorm(64, mean = 0.4, sd = 1)
> pplot.t.test(testdata)
Warning in pplot.t.test(testdata) :
  Package 'MBESS' is not installed but required for computing confidence intervals for effect sizes (for plottype >= 2).
Error in pplot.t.test(testdata) : 
Execution halted

Package suggested but not available for checking: 'MBESS'

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Package suggested but not available for checking: 'MBESS'

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