R package helda (HELpful functions for Data Analysis in R)

Overview

This package provides functionalities that aim at facilitating and saving time when analysing data.

Installation

You can install helda from CRAN by simply running:

install.packages("helda")

Development version

To get a bug fix, or use a feature from the development version, you can install helda from this GitHub repository.

# install.packages("devtools")
devtools::install_github("Redcart/helda")

Usage

This is a quick introduction to the lift curve function of the package:

library(helda)

data_training <- titanic_training
data_validation <- titanic_validation

model_glm <- glm(formula = "Survived ~ Pclass + Sex + Age + 
                 SibSp + Fare + Embarked",
                 data = data_training,
                 family = binomial(link = "logit"))

predictions <- predict(object = model_glm, 
                       newdata = data_validation, 
                       type = "response")

plot <- lift_curve(predictions = predictions, 
                   true_labels = data_validation$Survived, 
                   positive_label = 1)

plot

Getting help

If you encounter a clear bug, please file a minimal reproducible example on the issues section of the repository.

Author

Simon Corde