weighted_line: Weighted Robust Line Fitting
In robsurvey: Robust Survey Statistics Estimation

weighted_line

R Documentation

Weighted Robust Line Fitting

Description

weighted_line fits a robust line and allows weights.

Usage

weighted_line(x, y = NULL, w, na.rm = FALSE, iter = 1)

## S3 method for class 'medline'
print(x, ...)
## S3 method for class 'medline'
coef(object, ...)
## S3 method for class 'medline'
residuals(object, ...)
## S3 method for class 'medline'
fitted(object, ...)

Arguments

`x`	`[numeric vector]` explanatory variable.
`y`	`[numeric vector]` response variable (default: `NULL`).
`w`	`[numeric vector]` weights (same length as `x`).
`na.rm`	`[logical]` indicating whether `NA` values should be removed before the computation proceeds (default: `FALSE`).
`iter`	`[integer]` number of iterations to use (default: `1`).
`object`	object of class `medline`.
`...`	additional arguments passed to the method.

Details

weighted_line uses different quantiles for splitting the sample than stats::line().

Value

intercept and slope of the fitted line

Examples

head(cars)

# compute weighted line
weighted_line(cars$speed, cars$dist, w = rep(1, length(cars$speed)))
m <- weighted_line(cars$speed, cars$dist, w = rep(1:10, each = 5))
m
coef(m)
residuals(m)
fitted(m)

robsurvey documentation built on Sept. 11, 2024, 6:35 p.m.