puzzle

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 = T, verbose = F, username = NULL)

Arguments

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

Value

a pharmacometrics ready data set