RVAideMemoire (version 0.9-27)

least.rect: Least rectangles linear regression

Description

Return information about a least rectangle linear regression: equation, confidence interval of parameters, equality of the slope to a given value and Pearson's linear correlation coefficient.

Usage

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

Arguments

formula

a formula of the form y ~ x, where y and x give the y and x variable, respectively.

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.

Value

• coefficients
  regression parameters.
• x
  name of the x variable.
• y
  name of the y variable.
• residuals
  residuals.
• fitted.values
  fitted values.
• conf.level
  confidence level.
• conf.int
  confidence interval of regression parameters.
• slope.theo
  theoretical value of the slope.
• df.comp
  degrees of freedom for equality of the slope to the theoretical value.
• statistic.comp
  test statitics for equality of the slope to the theoretical value.
• p.value.comp
  p-value for equality of the slope to the theoretical value.
• model
  values of x and y variables.
• comp
  data frame of results for equality of the slope to the theoretical value.
• r
  Pearson's linear correlation coefficient and confidence interval.
• r.df
  degrees of freedom for significativity of the correlation coefficient.
• r.statistic
  test statistics for significativity of the correlation coefficient.
• r.p.value
  p-value for significativity of the correlation coefficient.
• corr
  data frame of results for significativity of the correlation coefficient.

See Also

cor.test

Examples

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