sensemakr (version 0.1.2)

group_partial_r2: Partial R2 of groups of covariates in a linear regression model

Description

This function computes the partial R2 of a group of covariates in a linear regression model.

Usage

group_partial_r2(...)
# S3 method for lm
group_partial_r2(model, covariates, ...)
# S3 method for numeric
group_partial_r2(F.stats, p, dof, ...)

Arguments

...

arguments passed to other methods. First argument should either be an lm object with the regression model or a numeric vector with the F-statistics for the group of covariates.

model

an lm object with the regression model

covariates

model covariates for which the partial R2 will be computed. Default is to compute the partial R2 of all covariates.

F.stats

F-statistics for the group of covariates.

p

number of parameters in the model.

dof

residual degrees of freedom of the model.

Value

A numeric vector with the computed partial R2.

Examples

# NOT RUN {
data("darfur")

model <- lm(peacefactor ~ directlyharmed + age + farmer_dar + herder_dar +
             pastvoted + hhsize_darfur + female + village, data = darfur)

group_partial_r2(model, covariates = c("female", "pastvoted"))

# }