critical: Critical value of Partial Correlation

In kongdd/phenologyTP:

Description

• critical_autor: critical value of autocorrelation

• critical_pcor : critical value of partial correlation

Usage

critical_pcor(n, gn = 0, alpha = c(0.1, 0.05, 0.01))

critical_pcor2(n, gn, alpha = c(0.1, 0.05, 0.01))

critical_autor(n, alpha = c(0.1, 0.05, 0.01))

Arguments

n	the number of samples
gn	the number of given variables. When gn = 0, the returned values are critical values of pearson correlation.
alpha	numeric vector, significant level

References

1. Chen Yanguang (2012), Geographical Data analysis with MATLAB.
   

2. Kim, S. (2015) ppcor: An R Package for a Fast Calculation to Semi-partial Correlation Coefficients. Communications for Statistical Applications and Methods, 22(6), 665-674.
   

3. pcor p.value calculation in ppcor.
   

Examples

critical_pcor(34, 2)
critical_pcor2(34, 2)

kongdd/phenologyTP documentation built on Jan. 12, 2022, 2:13 p.m.