summary.epiQuant {SimHap}R Documentation

Summarizing epidemiological analysis models for quantitative outcomes

Description

Summary method for objects of class epiQuant

Usage

## S3 method for class 'epiQuant':
summary(object, ...)
## S3 method for class 'summary.epiQuant':
print(x, digits = max(3, getOption("digits") - 3), 
        signif.stars = getOption("show.signif.stars"), ...)

Arguments

object an object of class epiQuant, a result of a call to epi.quant.
x an object of class summary.epiQuant, the result of a call to
summary.epiQuant.
digits the number of significant digits to use when printing.
signif.stars logical. If TRUE, ``significance stars" are printed for each coefficient.
... further arguments passed to or from other methods.

Value

summary.epiQuant returns an object of class summary.epiQuant, a list with components

call the formula call.
terms terms attribute of the formula called in epi.quant.
na.action method used for missing data.
coefficients summarized results from fitted model, including coefficients, standard errors and p-values.
df residual degrees of freedom.
sigma residual standard error.
residuals the residuals, that is response minus fitted values.
df.residuals the residual degrees of freedom.
formula formula1 argument of snp.quant.
rsquared adjusted r-squared values for the fitted model.
AIC Akaike information criterion.

Author(s)

Pamela A. McCaskie

References

McCaskie, P.A., Carter, K.W. Hazelton, M., Palmer, L.J. (2007) SimHap: A comprehensive modeling framework for epidemiological outcomes and a multiple-imputation approach to haplotypic analysis of population-based data, [online] www.genepi.org.au/simhap.

See Also

epi.quant

Examples


data(pheno.dat)
mymodel <- epi.quant(formula=HDL~AGE+SBP, pheno=pheno.dat)
summary(mymodel)

# example with a subsetting variable
mymodel <- epi.quant(formula=HDL~AGE+SBP, pheno=pheno.dat, 
        sub=expression(SEX==1))
summary(mymodel)


[Package SimHap version 1.0.0 Index]