slm.methods {SparseM}R Documentation

Methods for slm objects

Description

Summarize, print, and extract objects from slm objects.

Usage

summary.slm(object, correlation, ...)
summary.mslm(object, ...)
print.slm(x, digits, ...)
print.summary.slm(x, digits, symbolic.cor, signif.stars, ...)
fitted.slm(object, ...)
residuals.slm(object, ...)
coef.slm(object, ...)

Arguments

object,x object of class slm.
digits minimum number of significant digits to be used for most numbers.
symbolic.cor logical; if TRUE, the correlation of coefficients will be printed. The default is FALSE
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'.
correlation logical; if TRUE, the correlation matrix of the estimated parameters is returned and printed.
... additional arguments passed to methods.

Value

print.slm and print.summary.slm return invisibly. fitted.slm, residuals.slm, and coef.slm return the corresponding components of the slm object.

Author(s)

Roger Koenker

References

Koenker, R and Ng, P. (2002). SparseM: A Sparse Matrix Package for R,
http://www.econ.uiuc.edu/~roger/research

See Also

slm

Examples

data(lsq)
X <- model.matrix(lsq) #extract the design matrix
y <- model.response(lsq) # extract the rhs
X1 <- as.matrix(X)
slm.time <- unix.time(slm(y~X1-1) -> slm.o) # pretty fast
cat("slm time =",slm.time,"\n")
cat("slm Results: Reported Coefficients Truncated to 5  ","\n")
sum.slm <- summary(slm.o)
sum.slm$coef <- sum.slm$coef[1:5,]
sum.slm
fitted(slm.o)[1:10]
residuals(slm.o)[1:10]
coef(slm.o)[1:10]

[Package SparseM version 0.54 Index]