SurvData: Creates a data set for survival analysis

In morseTKTD: Bayesian Inference of TKTD Models

Creates a data set for survival analysis

Description

This function creates a SurvData object from experimental data provided as a data.frame. The resulting object can then be used for plotting and model fitting. It can also be used to generate individual-time estimates.

The x argument describes experimental results from a survival toxicity test. Each line of the data.frame corresponds to one experimental measurement, that is a number of alive individuals at a given concentration at a given time point and in a given replicate. Note that either the concentration or the number of alive individuals may be missing. The data set is inferred to be under constant exposure if the concentration is constant for each replicate and systematically available. The function survData fails if x does not meet the expected requirements. Please run survDataCheck to ensure x is well-formed.

Usage

survData(data, ...)

## S3 method for class 'data.frame'
survData(data, ...)

Arguments

data

a data.frame containing the following four columns: replicate: a vector of any class numeric, character or factor for replicate identification. A given replicate value should identify the same group of individuals followed in time conc: a vector of class numeric with tested concentrations (positive values, may contain NAs) time: a vector of class integer with time points, minimal value must be 0 Nsurv: a vector of class integer providing the number of alive individuals at each time point for each concentration and each replicate (may contain NAs)

...

Further arguments to be passed to generic methods

Value

A dataframe of class survData and column replicate as factor.

See Also

survDataCheck

morseTKTD documentation built on June 8, 2025, 10:28 a.m.