summary.york: Summarizing York Model Fits

In JENScoding/York: York's regression of X and Y-variables with correlated errors

Description

Summary method for class "york".

Usage

## S3 method for class 'york'
summary(object, ...)

Arguments

object	a fitted object of class inheriting from "york".
...	additional arguments affecting the summary produced.

Value

The function summary.york computes and returns a list, of summary statistics of the fitted york model given in object.

x_residuals

summary of the the weighted x residuals.

y_residuals

summary of the the weighted y residuals.

coefficients

a matrix which contains the York estimates for intercept and slope of the best-fit straight line with their respective standard errors.

Regression_Test

a vector of strings with the information of the value of the test statistic the degrees of freedom and the p-value as first element and the test result whether H0 can be rejected or not as second element.

Examples

 # Example: York's regression with weight data taken from Pearson (1901):
 x <- c(0.0, 0.9, 1.8, 2.6, 3.3, 4.4, 5.2, 6.1, 6.5, 7.4)
 y <- c(5.9, 5.4, 4.4, 4.6, 3.5, 3.7, 2.8, 2.8, 2.4, 1.5)
 weights_x <- c(1e+3, 1e+3, 5e+2, 8e+2, 2e+2, 8e+1, 6e+1, 2e+1, 1.8, 1)
 weights_y <- c(1, 1.8, 4, 8, 20, 20, 70, 70, 1e+2, 5e+2)

 # fit york model and summarize
 york_fit <- york(x, y, weights_x, weights_y, r_xy_errors = 0)
 summary(york_fit)

JENScoding/York documentation built on Oct. 30, 2019, 7:29 p.m.