internal_functions_II: Internal Functions II

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

Description

Functions used in york function. Internal Functions II compromise all possible error messages.

The exp_error_simple function returns all possible error messages if the input is a simple regression with only one sample of x and y.

The exp_error_multiple function returns all possible error messages if mult.sample = TRUE is specified

The exp_error_convergence function returns an error message if the slope coefficient does not converge. It will also print the value if the last determined slope coefficients.

Usage

exp_error_simple(x, y, weights_x = NULL, weights_y = NULL,
  sd_x = NULL, sd_y = NULL, r_xy_errors = NULL)

exp_error_multiple(x, y, weights_x = NULL, weights_y = NULL,
  sd_x = NULL, sd_y = NULL, r_xy_errors = NULL,
  approx_solution = FALSE)

exp_error_convergence(count, max_iterations, slope_per_iteration)

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