The Keng package is named after Loo-Keng Hua, who made
great achievements in mathematics mainly through self-study. Loo-Keng
Hua encouraged the novices to show their axe skills at the gate of Ban’s
house, so the Keng package comes.
The Keng package aims to automate the computations
Qingyao repeat in his psychological research and teaching. Hope the
functions and data gathered in this package help to ease your life.
You can install the development version of Keng from GitHub with:
install.packages("pak")
pak::pkg_install("qyaozh/Keng")Before using the Keng package, load it using the
library() function.
library(Keng)Here is a list of the functions and data gathered in the
Keng package. Their usages are detailed in the
documentation.
cut_r() give you the cut-off values of Pearson’s
r at the significance levels of p = 0.1, 0.05, 0.01,
0.001 when the sample size n is known.
test_r() tests the significance of r using
t-test when r and n is known.
test_PRE() computes and tests (F-test) the
PRE of the augmented model compared with the compact model.