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⚠️ This Post is Under Construction ⚠️ ⚠️ Make Sure You Understand the Code Before Using It ⚠️ Draft Function # my.data <- power.data.Pcytokine.p1 # group.factor <- "TYPE" # facet.factor <- "TYPE" # time.

Table of Contents Introduction Input Output Example Data Example Data Wrangling Function Plot Without jitter Plot With jitter ⚠️ Make Sure You Understand the Code Before Using It ⚠️

Table of Contents Introduction Input Output Example Data Function Plot WITH single arm Plot WITH response category ⚠️ Make Sure You Understand the Code Before Using It ⚠️ Introduction A function to generate a waterfall plot showing the best percentage change from baseline for each patient, commonly used to visualize tumor response in oncology trials.

Table of Contents Introduction Library, ggplot Theme, and Data Prep One Group Plot Sample KM Plot of Treatment Group Two Groups Plot Sample KM Plot of Two Groups Basic R Method The First Function to Generate Survival Objects The Second Function to Generate the Plot Sample Basic R Single Arm KM Plot Sample Basic R Two Arms KM Plot Session Info ⚠️ Make Sure You Understand the Code Before Using It ⚠️