plot_failure: Plot failure probability predictions for a question

In loshita/oshitar:

Description

This function uses a fitted cox regression model to predict and plot failure probabilities for a single question. Predictions are made at each minute, starting at 0 hours, and ending at the maximum time of the data the cox model was fit on. This function then plots those predictions against the corresponding time with ggplot.

Usage

plot_failure(model, question)

Arguments

model	The cox regression model to use in predicting failure (output from the fit_model function). This function only works with cph fits.
question	The question to predict failure probabilities on (one row of Answers data set).

Value

Returns a ggplot of the failure experience for the input question. The plot indicates when the question is predicted to reach it's maximum failure probabiity with red reference lines.

Examples

# importing data
dir <- file.path(getwd(),"data")
out <- read.csv(file.path(dir, "answers_data.csv")) # data set without any variables set up

# fitting model
model <- fit_model(out)

# setting up data to predict on
newdata <- variable_setup(newdata)
question <- newdata[1,]

plot_failure(model, question)

loshita/oshitar documentation built on May 8, 2019, 11:12 p.m.