puzzle

The goal of puzzle is assembling pharmacometric ready data sets from tabulated files.

Installation

You can install the released version of puzzle from CRAN with:

install.packages("puzzle")

or download the development version from Github:

devtools::install_github("syneoshealth/puzzle")

Example

This is a basic example which shows you how to solve a common problem:

library(puzzle)
nm = list(pk = list(parent=as.data.frame(puzzle::df_pk_start)),
dose=as.data.frame(puzzle::df_dose_start),
cov=as.data.frame(puzzle::df_cov_start))
df = puzzle(directory=file.path(getwd()),
        order=c(0),
        pk=list(data=nm$pk),
        dose=list(data=nm$dose),
        cov=list(data=nm$cov),
        username = "Mario Gonzalez Sales")
#> Automatic coercion to numeric for CMT
#> 1=parent
#> Automatic coercion to numeric for SEX
#> 0=F
#> 1=M
#> Assembling date and time: 2019-10-30 21:46:58
#> Time zone: Europe/Paris
#> Number of individuals: 2
#> Number of observations: 12
#> Dose levels: "100", "200"
#> This data set was assembled by Mario Gonzalez Sales

A portion of the pharmacometrics ready data set obtained with the code showed above is presented below:

C ID TIME TAD AMT CMT EVID DV LDV MDV AGE SEX
1 0.0 0.0 100 1 1 NA NA 1 77 1
1 0.0 0.0 NA 1 0 0.0 NA 0 77 1
1 1.0 1.0 NA 1 0 10.8 2.3795461 0 77 1
1 4.0 4.0 NA 1 0 7.6 2.0281482 0 77 1
1 12.0 12.0 NA 1 0 2.3 0.8329091 0 77 1
1 24.0 0.0 200 1 1 NA NA 1 77 1
1 24.0 0.0 NA 1 0 0.0 NA 0 77 1
1 25.0 1.0 NA 1 0 24.2 3.1863526 0 77 1
2 0.0 0.0 100 1 1 NA NA 1 82 0
2 0.0 0.0 NA 1 0 0.0 NA 0 82 0
2 0.9 0.9 NA 1 0 7.3 1.9878743 0 82 0
2 3.8 3.8 NA 1 0 4.0 1.3862944 0 82 0
2 12.2 12.2 NA 1 0 1.1 0.0953102 0 82 0
2 24.0 0.0 200 1 1 NA NA 1 82 0
2 24.0 0.0 NA 1 0 0.0 NA 0 82 0
2 25.1 1.1 NA 1 0 14.1 2.6461748 0 82 0