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Purpose

nhstplot is a simple and convenient package to represent graphically the most common Null Hypothesis Significance Tests (NHST).

In other words, it plots the density functions of z, t, F and Chi-squared, adding a cutline at the observed statistic value, scaling it all conveniently, and plotting a label for the p value.

How to use it

First, install the library with install.packages("nhstplot"), load the library with library(nhstplot).

nhstplot is composed of 4 functions, one for each major NHST test “family” :

• Chi-squared tests (with the plotchisqtest function)
• F tests (with the plotftest function)
• t tests (with the plotttest function)
• z tests (with the plotztest function)

They all work quite the same (with minor differences, see the vignette for more info), with very few required arguments:

• The first required argument is the value of the test statistic z, t, F and Chi-squared
• The other required arguments are the degrees of freedom (except for z of course)

See the vignette for examples and options.

Disclaimer

This package is neither for or against NHST. It’s meant to help explain the process, should you want to explain it. A lot of students (and scholars) have no choice but to read articles with (p) values, so they might as well have a better understanding of what it is and what it’s not anyway, right?

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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