recode.agent: Assigns agent or class variables numeric identifiers

In MBNMAdose: Dose-Response MBNMA Models

Assigns agent or class variables numeric identifiers

Description

Assigns agent or class variables numeric identifiers

Usage

recode.agent(data.ab, level = "agent")

Arguments

data.ab

A data frame of arm-level data in "long" format containing the columns: studyID Study identifiers dose Numeric data indicating the dose (must take positive values) agent Agent identifiers (can be numeric, factor or character) y Numeric data indicating the aggregate response for a continuous outcome. Required for continuous data. se Numeric data indicating the standard error for a given observation. Required for continuous data. r Numeric data indicating the number of responders within a study arm. Required for binomial or poisson data. n Numeric data indicating the total number of participants within a study arm. Required for binomial data or when modelling Standardised Mean Differences E Numeric data indicating the total exposure time for participants within a study arm. Required for poisson data. class An optional column indicating a particular class code. Agents with the same identifier must also have the same class code. standsd An optional column of numeric data indicating reference SDs used to standardise treatment effects when modelling using Standardised Mean Differences (SMD).

level

Can take either "agent" or "class"

Details

Also relabels the agent for any arms in which dose = 0 to "Placebo_0"

Value

A list containing a data frame with recoded agent/class identifiers and a character vector of original agent/class names

MBNMAdose documentation built on Aug. 8, 2023, 5:11 p.m.