weighted_line: Weighted robust line fitting

In martinSter/robsurvey: Robust Survey Statistics Estimation

Description

weighted_line fits a robust line and allows weights.

Usage

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

Arguments

x	a numeric vector (explanatory variable)
y	a numeric vector (response variable)
w	a numeric vector of weights
na.rm	a logical value indicating whether rows with NA values should be stripped before the computation proceeds
iter	number of iterations for enhancing the slope

Details

Uses different quantiles for splitting the sample than line(). Is based on weighted_median().

Value

intercept and slope of the fitted line

See Also

line

Examples

data(cars)
weighted_line(cars$speed, cars$dist, w=rep(1, length(cars$speed)))
weighted_line(cars$speed, cars$dist, w=rep(1:10, each=5))

martinSter/robsurvey documentation built on Oct. 11, 2019, 4:45 p.m.