xtable: xtable Method from Joint Models.

In drizopoulos/JM: Joint Modeling of Longitudinal and Survival Data

xtable Method from Joint Models.

Description

produces a LaTeX table with the results of a joint model using package xtable.

Usage

## S3 method for class 'jointModel'
xtable(x, caption = NULL, label = NULL, align = NULL,
    digits = NULL, display = NULL, which = c("all", "Longitudinal", "Event"),
    varNames.Long = NULL, varNames.Event = NULL, p.values = TRUE, 
    digits.pval = 4, ...)

Arguments

x	an object inheriting from class jointModel.
caption	the caption argument of xtable().
label	the label argument of xtable().
align	the align argument of xtable().
digits	the digits argument of xtable().
display	the display argument of xtable().
which	a character string indicating which results to include in the LaTeX table. Options are all results, the results of longitudinal submodel or the results of the survival submodel.
varNames.Long	a character vector of the variable names for the longitudinal submodel.
varNames.Event	a character vector of the variable names for the survival submodel.
p.values	logical; should p-values be included in the table.
digits.pval	a numeric scalare denoting the number of significance digits in the p-value.
...	additional arguments; currently none is used.

Value

A LaTeX code chunk with the results of the joint modeling analysis.

Author(s)

Dimitris Rizopoulos [e-mail]

See Also

jointModel

Examples

## Not run: 
require(xtable)
prothro$t0 <- as.numeric(prothro$time == 0)
lmeFit <- lme(pro ~ treat * (time + t0), random = ~ time | id, data = prothro)
survFit <- coxph(Surv(Time, death) ~ treat, data = prothros, x = TRUE)
jointFit <- jointModel(lmeFit, survFit, timeVar = "time", 
    method = "weibull-PH-aGH")

xtable(jointFit, math.style.negative = TRUE)

## End(Not run)

drizopoulos/JM documentation built on Aug. 10, 2022, 1:51 a.m.