pearson_york_data

Example data set of Pearson (1901) with weights suggested by York (1966).

datasets

How to fit a straight line through a set of points with errors in
both coordinates? The 'bfsl' package implements the York regression
(York, 2004 <doi:10.1119/1.1632486>). It provides unbiased estimates of the
intercept, slope and standard errors for the best-fit straight line to
independent points with (possibly correlated) normally distributed errors in
both x and y. Other commonly used errors-in-variables methods, such as
orthogonal distance regression, geometric mean regression or Deming regression
are special cases of the 'bfsl' solution.

Patrick Sturm

bfsl

Best-Fit Straight Line

pearson_york_data function

A data frame with 10 rows and 4 variables:<dl class="dl-horizontal">
 <dt>x</dt><dd>x observations</dd>
 <dt>w_x</dt><dd>weights of x</dd>
 <dt>y</dt><dd>y observations</dd>
 <dt>w_y</dt><dd>weights of y</dd>
</dl>

Format

Example data — pearson_york_data

A data frame with 10 rows and 4 variables:<dl class='dl-horizontal'>
 <dt>x</dt><dd>x observations</dd>
 <dt>w_x</dt><dd>weights of x</dd>
 <dt>y</dt><dd>y observations</dd>
 <dt>w_y</dt><dd>weights of y</dd>
</dl>

pearson_york_data: Example data

Description

Usage

Arguments

Format

References

Examples