examples/src/main/r/ml/survreg.R

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# To run this example use
# ./bin/spark-submit examples/src/main/r/ml/survreg.R

# Load SparkR library into your R session
library(SparkR)

# Initialize SparkSession
sparkR.session(appName = "SparkR-ML-survreg-example")

# $example on$
# Use the ovarian dataset available in R survival package
library(survival)

# Fit an accelerated failure time (AFT) survival regression model with spark.survreg
ovarianDF <- suppressWarnings(createDataFrame(ovarian))
aftDF <- ovarianDF
aftTestDF <- ovarianDF
aftModel <- spark.survreg(aftDF, Surv(futime, fustat) ~ ecog_ps + rx)

# Model summary
summary(aftModel)

# Prediction
aftPredictions <- predict(aftModel, aftTestDF)
head(aftPredictions)
# $example off$

sparkR.session.stop()