tof_compute_km_curve: Compute a Kaplan-Meier curve from sample-level survival data
In keyes-timothy/tidytof: Analyze High-dimensional Cytometry Data Using Tidy Data Principles
tof_compute_km_curve R Documentation
Compute a Kaplan-Meier curve from sample-level survival data
Description
Compute a Kaplan-Meier curve from sample-level survival data
Usage
tof_compute_km_curve(survival_curves)
Arguments
survival_curves
A tibble from which the Kaplan-Meier curve will be
computed. Each row must represent an observation and must have two
columns named "time_to_event" and "event".
Value
A tibble with 3 columns: time_to_event, survival_probability, and
is_censored (whether or not an event was censored at that timepoint).
keyes-timothy/tidytof documentation built on May 7, 2024, 12:33 p.m.
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| tof_compute_km_curve | R Documentation |
Compute a Kaplan-Meier curve from sample-level survival data
Description
Compute a Kaplan-Meier curve from sample-level survival data
Usage
tof_compute_km_curve(survival_curves)
Arguments
survival_curves |
A tibble from which the Kaplan-Meier curve will be computed. Each row must represent an observation and must have two columns named "time_to_event" and "event". |
Value
A tibble with 3 columns: time_to_event, survival_probability, and is_censored (whether or not an event was censored at that timepoint).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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