logistic_interpret: Logistic Regression with Plain-English Interpretation

In statease: Simplified Statistical Analysis with Plain-English Interpretation

Logistic Regression with Plain-English Interpretation

Description

Logistic Regression with Plain-English Interpretation

Usage

logistic_interpret(formula, data, conf.level = 0.95)

Arguments

formula	A formula of the form outcome ~ predictor1 + predictor2 + ...
data	A data frame containing the variables
conf.level	Confidence level. Default 0.95.

Value

An object of class statease_logistic containing logistic regression results and interpretation. Use print() to display the formatted report.

Examples

df <- data.frame(
  passed      = c(1,1,0,1,0,1,1,0,1,1,0,0,1,1,0),
  study_hours = c(9,8,3,7,2,9,8,3,7,6,2,1,8,7,3),
  attendance  = c(90,85,50,80,45,95,88,55,78,70,40,35,92,83,52)
)
result <- logistic_interpret(passed ~ study_hours + attendance, data = df)
print(result)

statease documentation built on June 7, 2026, 5:06 p.m.