Over a million developers have joined DZone.

Visualizing (Censored) Lifetime Distributions

DZone's Guide to

Visualizing (Censored) Lifetime Distributions

Understanding all the R packages out there is hard, but this one's pretty interesting. Check out some standard censored lifetime data and see how to generate it into a nice visual.

· Big Data Zone ·
Free Resource

The Architect’s Guide to Big Data Application Performance. Get the Guide.

There are now more than 10,000 R packages available from CRAN — and much more if you include those available only on GitHub. So, to be honest, it's difficult to know all of them. But sometimes, you discover a nice function in one of them, and that is really awesome. Consider for instance some (standard) censored lifetime data:


Yes, I will generate them here. Consider the Kaplan-Meier estimator of the survival function:

km.base = survfit( Surv(time,status) ~ 1  , data = df )

Recently, Anat (currently finishing the Data Science for Actuaries program) helped me discover a nice R function to add information to that graph (well, not that graph, since it will be a ggplot version, but the same survival distribution plot):

ggsurvplot(km.base, main = "", color = "blue" , censor = FALSE, xlim = c(0,3), risk.table = TRUE ,
risk.table.col = "blue" , risk.table.height = 0.2, risk.table.title = "" , legend.labs = "All" , legend.title = "" , break.time.by = 1, xlab = "" , ylab = "")

Image title

This is more interesting when we have different lifetimes:

km.prod = survfit( Surv(time,status) ~ product  , data = df )
ggsurvplot(km.prod, main = "", censor = FALSE, xlim = c(0,3), risk.table = TRUE , risk.table.col = "strata" , risk.table.height = 0.3, risk.table.title = "" , legend.labs = LETTERS[1:4] , legend.title = "" , break.time.by = 1, xlab = "" , ylab = "")

Image title

Or a different time granularity:

Nice, isn't it?

Learn how taking a DataOps approach will help you speed up processes and increase data quality by providing streamlined analytics pipelines via automation and testing. Learn More.

big data ,tutorial ,data visualizations ,r ,lifetime distributions

Published at DZone with permission of

Opinions expressed by DZone contributors are their own.

{{ parent.title || parent.header.title}}

{{ parent.tldr }}

{{ parent.urlSource.name }}