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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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.