| wle.lm.summaries {wle} | R Documentation |
All these functions are methods for class wle.lm or summary.wle.lm.
## S3 method for class 'wle.lm':
coef(object, ...)
## S3 method for class 'wle.lm':
formula(x, ...)
## S3 method for class 'wle.lm':
fitted(object, ...)
## S3 method for class 'wle.lm':
model.frame(formula, data, na.action, ...)
## S3 method for class 'wle.lm':
summary(object, root="ALL", ...)
## S3 method for class 'wle.lm.root':
summary(object, root=1, ...)
## S3 method for class 'wle.lm':
print(x, digits = max(3, getOption("digits") - 3), ...)
## S3 method for class 'summary.wle.lm':
print(x, digits = max(3, getOption("digits") - 3),
signif.stars= getOption("show.signif.stars"), ...)
## S3 method for class 'summary.wle.lm.root':
print(x, digits = max(3, getOption("digits") - 3),
signif.stars= getOption("show.signif.stars"), ...)
object |
an object of class wle.lm. |
x |
an object of class wle.lm or summary.wle.lm. |
formula |
a model formula |
data |
data.frame, list, environment or object coercible to data.frame containing the variables in formula. |
na.action |
how NAs are treated. The default is first, any na.action attribute of data, second a na.action setting of options, and third na.fail if that is unset. The ``factory-fresh'' default is na.omit. |
root |
the root to be printed, in summary.wle.lm it could be "ALL", all the roots are printed, or a vector of integers. |
digits |
number of digits to be used for most numbers. |
signif.stars |
logical; if TRUE, P-values are additionally encoded
visually as ``significance stars'' in order to help scanning of long
coefficient tables. It defaults to the show.signif.stars slot of options. |
... |
additional arguments. |
print.summary.wle.lm and print.summary.wle.lm.root tries formatting for each root the coefficients, standard errors, etc. and additionally gives ``significance stars'' if signif.stars is TRUE.
The generic accessor functions coefficients, fitted.values, residuals and weights can be used to extract various useful features of the value returned by wle.lm.
The function summary.wle.lm (the summary.wle.lm.root do the same for just one selected root) computes and returns, for each selected root, a list of summary statistics of the fitted linear model given in object, using the components (list elements) "call" and "terms" from its argument, plus
residuals |
the weighted residuals, the usual residuals rescaled by the square root of the weights given by wle.lm. |
coefficients |
a p x 4 matrix with columns for the estimated coefficient, its standard error, weighted-t-statistic and corresponding (two-sided) p-value. |
sigma |
the square root of the estimated variance of the random error. |
df |
degrees of freedom, a 3-vector (p, sum{weights} - p, p*). |
fstatistic |
a 3-vector with the value of the weighted-F-statistic with its numerator and denominator degrees of freedom. |
r.squared |
R^2, the ``fraction of variance explained by the model''. |
adj.r.squared |
the above R^2 statistic ``adjusted'', penalizing for higher p. |
root |
the label of the root reported. |
Claudio Agostinelli
wle.lm a function for estimating linear models with normal distribution error and normal kernel, plot.wle.lm for plot method.
library(wle) # You can find this data set in: # Hawkins, D.M., Bradu, D., and Kass, G.V. (1984). # Location of several outliers in multiple regression data using # elemental sets. Technometrics, 26, 197-208. # data(artificial) result <- wle.lm(y.artificial~x.artificial,boot=40,group=6,num.sol=3) #summary only for the first root summary(result,root=1) #summary for all the roots summary(result,root="ALL")