R package helda (HELpful functions for Data Analysis in R)
This package provides functionalities that aim at facilitating and saving time when analysing data.
You can install helda from CRAN by simply running:
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")
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
If you encounter a clear bug, please file a minimal reproducible example on the issues section of the repository.