print.PAF_q: Print out PAF_q for differing risk factors

In graphPAF: Estimating and Displaying Population Attributable Fractions

Print out PAF_q for differing risk factors

Description

Print out PAF_q for differing risk factors

Usage

## S3 method for class 'PAF_q'
print(x, ...)

Arguments

x	A PAF_q object. This is a dataframe that is created by running the function PAF_calc_continuous. The final 3 columns of the data frame are assumed to be (in order), PAF and lower and upper confidence bounds.
...	Other arguments to be passed to print

Value

No return value, prints the PAF_q object to the console.

Examples

library(splines)
library(survival)
library(parallel)
options(boot.parallel="snow")
options(boot.ncpus=2)
# The above could be set to the number of available cores on the machine
model_continuous <- glm(formula = case ~ region * ns(age, df = 5) +
sex * ns(age, df = 5) + education +exercise + ns(diet, df = 3) +
 alcohol + stress + ns(lipids,df = 3) + ns(waist_hip_ratio, df = 3) +
high_blood_pressure, family = "binomial", data = stroke_reduced)
out <- PAF_calc_continuous(model_continuous,
riskfactor_vec=c("diet","lipids","waist_hip_ratio"),
q_vec=c(0.01, 0.1,0.3,0.5,0.7,0.9),ci=FALSE,calculation_method="B",
data=stroke_reduced)
print(out)

graphPAF documentation built on Feb. 16, 2023, 6:24 p.m.