search

ModelOriented / factorMerger

Set of tools to support results from post hoc testing
https://ModelOriented.github.io/factorMerger/
24 stars 5 forks source link
modeloriented r

readme

factorMerger

CRAN_Status_Badge Build Status GitHub issues DOI

Overview

factorMerger is a set of tools to support post-hoc testing that would enable to extract hierarchical structure of factors with respect to a given response.

Installation

# the easiest way to get factorMerger is to install it from CRAN:
install.packages("factorMerger")

# Or the the development version from GitHub:
# install.packages("devtools")
devtools::install_github("ModelOriented/factorMerger", build_vignettes = FALSE)

More

The description of factorMerger may be found in the paper The Merging Path Plot: adaptive fusing of k-groups with likelihood-based model selection (here).

Workflow

fm_workflow

Cheatsheet

Download cheatsheet

Example

Survival analysis

library(factorMerger)
library(forcats) # distinguish meaningful factors (fct_lump)

data(BRCA)
brcaSurv <- survival::Surv(time = BRCA$time, event = BRCA$vitalStatus)
drugName <- fct_lump(as.factor(BRCA$drugName), prop = 0.05) 

drugNameFM <- mergeFactors(response = brcaSurv[!is.na(drugName)], 
                           factor = drugName[!is.na(drugName)], 
                           family = "survival")

plot(drugNameFM, nodesSpacing = "effects", gicPanelColor = "grey2")