In metrumresearchgroup/pmtables: Tables for Pharmacometrics

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "."
)

The data inventory table counts subjects and observations in your data set. It will also tally missing or BQL observations.

Basic table by study

library(pmtables)
library(dplyr)

all <- pmtables:::data("obs") 
pk <- filter(all, SEQ==1)

A summary of PK data by study

pt_data_inventory(pk, by = vars(Study = STUDYf))

Paneled summary

We can also panel this summary by another covariate

pt_data_inventory(
  pk, 
  by = vars(Study = STUDYf), 
  panel = vars("Renal function" = RFf)
)

Stacked summary

Use this when you want to have a single table that summarizes different endpoints. This is a paneled summary where each panel is a summary only of what is in that panel.

pt_data_inventory(
  all, 
  panel = vars(Endpoint = SEQf), 
  by = vars("Study" = STUDYf), 
  stacked = TRUE
)

metrumresearchgroup/pmtables documentation built on Oct. 27, 2024, 5:16 p.m.