makePPTxList_ROC: Make Powerpoint List for ROC curve Analysis

In cardiomoon/multipleROC: Package for ROC Analysis with Models with Multiple Predictors

Make Powerpoint List for ROC curve Analysis

Description

Make Powerpoint List for ROC curve Analysis

Usage

makePPTxList_ROC(
  yvar = "male",
  xvars = c("weight", "height", "age"),
  dataname = "radial",
  multiple = FALSE,
  separate = TRUE,
  vanilla = TRUE,
  show.line = FALSE,
  show.points = TRUE,
  show.eta = TRUE,
  show.sens = TRUE,
  show.AUC = TRUE
)

Arguments

yvar	Name of dependent variable
xvars	Names of independent variables
dataname	Name of data
multiple	logical Whether or not analyze as multiple predictor model
separate	logical Whether or not plot independent variables separately
vanilla	logical Whether or not make vanilla table
show.line, show.points, show.eta, show.sens, show.AUC	logical Arguments to be passed to plot_ROC()

Examples

require(moonBook)
require(ggplot2)
require(multipleROC)
result=makePPTxList_ROC()
result=makePPTxList_ROC(multiple=TRUE)

cardiomoon/multipleROC documentation built on Sept. 9, 2023, 7:41 a.m.