summary.QRS {ADVICE} | R Documentation |
summary method for class "qrs"
## S3 method for class 'QRS'
summary(object, ...)
object |
an abject of class "qrs" |
... |
additional arguments affecting the summary produced. |
The function computes and returns a list of summary statistics of the fitted linear model given in the QRS object.
Residuals |
the weighted residuals, the usual residuals rescaled by the square root of the weights specified in the call to qrs |
Coefficients |
a p x 4 matrix with columns for the estimated coefficient, its standard error, z-score and corresponding (two-sided) probabilities |
df |
degrees of freedom |
residualStandardError |
Residual standard error |
Ladan Tazik, W.J.Braun
QRS.R
myRegressionData <- rmultreg(25, k=5, p=.15, sdnoise = .25)
pairs(myRegressionData$data)
out <- ices(y ~ ., data = myRegressionData$data) # fit model to simulated data
summary(out) # estimates and standard errors for all coefficients
myRegressionData$coefficients # compare with true coefficients