est_p_ci: Display estimate, confidence interval and p-value for one...

In gmodels: Various R Programming Tools for Model Fitting

Display estimate, confidence interval and p-value for one model term

Description

Display estimate, confidence interval and p-value for one model term

Usage

est_p_ci(model, term, mult = 1, digits = 2, ...)

Arguments

model	model object
term	model term
mult	scale (multiply) the parameter by this factor
digits	number of significant digits to display
...	optional arguments

Examples

set.seed(42)

# fit an example model with 3 groups
y <- rnorm(100)
x <-  cut(rnorm(100, mean=y, sd=0.25),c(-4,-1.5,0,1.5,4))
reg <- lm(y ~ x)
reg

# show model estimate, p-value, and confidence interval
# for the first group
est_p_ci(reg, 2)

# estimate some group contrasts
cmat <- rbind( "1 vs 4"    =c(-1, 0, 0, 1),
               "1+2 vs 3+4"=c(-1/2,-1/2, 1/2, 1/2),
               "1 vs 2+3+4"=c(-3/3, 1/3, 1/3, 1/3))
cont <- fit.contrast(reg, x, cmat, conf.int = 0.95)
cont

# show the contrast estimate, p-value, and confidence interval
# for the first contrast
est_p_ci(cont, 2:3)

gmodels documentation built on June 22, 2024, 11:56 a.m.