To create a logistic regression model in R, we can use the glm()
function. Let's assume we have a dataset mydata
with four variables (param1
, param2
, param3
, param4
) and a binary response variable (response
).
180 chars6 lines
To predict new data based on this model, we can use the predict()
function. Let's say we have new data with the same four variables (newdata
). We can use the type = "response"
argument to get the predicted probability of the binary response variable.
97 chars3 lines
Lastly, we can use data wrangling and visualization techniques to explore and understand our model and predictions.
244 chars6 lines
gistlibby LogSnag