least.rect: Least rectangles linear regression
In RVAideMemoire: Testing and Plotting Procedures for Biostatistics

least.rect

R Documentation

Least rectangles linear regression

Description

Fits a least rectangle linear regression, possibly for each level of a factor.

Usage

least.rect(formula, data, conf.level = 0.95, theo = 1, adj = TRUE)

Arguments

`formula`	a formula of the form `y ~ x`, where `y` and `x` give the y and x variable, respectively. The formula can also be `y ~ x \| f` to fit a (separate) regression for each level of the factor `f`.
`data`	an optional data frame containing the variables in the formula `formula`. By default the variables are taken from `environment(formula)`.
`conf.level`	confidence level.
`theo`	theoretical value of the slope. If several regression are fitted, the same value is used for all comparisons of slope vs. theoretical value.
`adj`	logical indicating if, in case of several regressions fitted, confidence intervals and p-values should be Bonferroni-corrected for multiple testing.

Value

`coefficients`	regression parameters.
`residuals`	residuals.
`fitted.values`	fitted values.
`call`	the matched call.
`model`	the model frame used.
`conf.level`	confidence level.
`conf.int`	confidence interval of regression parameters.
`theo`	theoretical value of the slope.
`comp`	data frame of results for equality of the slope(s) to the theoretical value.
`corr`	data frame of results for significativity of the correlation coefficient(s).
`multiple`	logical, `TRUE` if several regressions are fitted.
`adj`	logical, `TRUE` if confidence intervals and p-values are corrected for multiple testing (only if several regressions are fitted).

Author(s)

Maxime HERVE <maxime.herve@univ-rennes1.fr>

Examples

x <- 1:30+rnorm(30,0,3)
y <- 1:30+rnorm(30,0,3)
regression1 <- least.rect(y~x)
summary(regression1)

x2 <- c(1:30,1:30)
y2 <- c(1:30+rnorm(30,0,3),seq(10,22,12/29)+rnorm(30,0,3))
fact <- gl(2,30,labels=LETTERS[1:2])
regression2 <- least.rect(y2~x2|fact)
summary(regression2)

RVAideMemoire documentation built on Nov. 6, 2023, 5:07 p.m.