puzzle: puzzle
In puzzle: Assembling Data Sets for Non-Linear Mixed Effects Modeling

Description Usage Arguments Value Examples

Build pharmacometric data sets from basic tabulated files

puzzle(directory = NULL, order, coercion = list(name = NULL, sep =
  ","), optionalcolumns = NULL, pk = list(name = NULL, data = NULL),
  dose = list(name = NULL, data = NULL), cov = list(name = NULL, data =
  NULL), pd = list(name = NULL, data = NULL), extratimes = list(name =
  NULL, data = NULL), nm = list(name = NULL), fillcolumns = NULL,
  nocoercioncolumns = NULL, norepeatcolumns = NULL, initialindex = 0,
  na.strings = "N/A", arrange = "ID,TIME,CMT,desc(EVID)",
  datetimeformat = "%Y-%m-%d %H:%M:%S", timeunits = "hours",
  timezone = Sys.timezone(), ignore = "C", missingvalues = ".",
  parallel = TRUE, verbose = FALSE, username = NULL)

`directory`	path to your directory
`order`	define the absorption order, can be 0, 1, c(0,1), or c(1,1)
`coercion`	define name for coercion file
`optionalcolumns`	define optional columns
`pk`	define the required file containing the pk information. It can be a .csv or an .xlsx file
`dose`	define the required file containing the dose information. It can be a .csv, an .xlsx file or an R object.
`cov`	define the optional file containing the covariate information. It can be a .csv, an .xlsx file or an R object.
`pd`	define the optional file containing the pd information. It can be a .csv, or a .xlsx file.
`extratimes`	define the optional file containing the additional times. It can be a .csv, or a .xlsx file.
`nm`	name of output file generated by puzzle
`fillcolumns`	define columns to be filled
`nocoercioncolumns`	define columns to be dropped from the coercion file
`norepeatcolumns`	define columns not to be repeated
`initialindex`	define the lower category of categorical covariates
`na.strings`	define value for na
`arrange`	define how the columns should be arranged
`datetimeformat`	define format for date times
`timeunits`	define time units if needed
`timezone`	define timezone
`ignore`	define ignore value
`missingvalues`	define missing value
`parallel`	define parallel zero + first order absorption
`verbose`	define verbose
`username`	define person performing the assembling

a pharmacometrics ready data set

## Not run: 
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))
puzzle(directory=file.path(tempdir()), 
       order=c(0), 
       pk=list(data=nm$pk), 
       dose=list(data=nm$dose), 
       cov=list(data=nm$cov))

## End(Not run)