cor.pearson.r.onesample.simple: One Sample Test of Pearson's Correlation Coefficient

In burrm/lolcat: Miscellaneous Useful Functions

One Sample Test of Pearson's Correlation Coefficient

Description

Calculate test of significance for Pearson's Correlation Coefficient.

Usage

cor.pearson.r.onesample(
  x,
  y,
  null.hypothesis.rho = 0,
  alternative = c("two.sided", "less", "greater"),
  conf.level = 0.95,
  na.rm = T
)

cor.pearson.r.onesample.simple(
  sample.r,
  sample.size,
  null.hypothesis.rho = 0,
  alternative = c("two.sided", "less", "greater"),
  conf.level = 0.95
)

Arguments

x	Vector - Variable 1 values
y	Vector - Variable 2 values
null.hypothesis.rho	Scalar - The assumed value of rho to test the sample correlation coefficient against.
alternative	The alternative hypothesis to use for the test computation.
conf.level	The confidence level for this test, between 0 and 1.
sample.r	Scalar - Sample correlation coefficient.
sample.size	Scalar - Sample size to use for the calculation.

Value

Hypothesis test result showing results of test.

burrm/lolcat documentation built on Sept. 15, 2023, 11:35 a.m.