secuTrialR (version 1.1.1)

return_random_participants: Returns the random participants from a secuTrial export

Description

There are situations (e.g. randomized monitoring) in which you may want to return a list of random participants from a secuTrial export.

Usage

return_random_participants(
  x,
  centres = "all",
  percent = 0.1,
  date = "1900-01-01",
  seed = 1
)

Value

list of two elements. First, a data.frame that contains the random participants from each specified centre. This is performed based on a specified seed to retain reproducibilty. Second, the configuration of the randomization (i.e. result of RNGkind()). If the percentage does not yield an integer for a centre the number is tranformed into an integer under application of the ceiling() function (i.e. it is rounded up).

Arguments

x

a secuTrialdata object

centres

A character vector of centres for which participants should be returned. If left unspecified it will return participants for every study centre.

percent

A number greater than 0 and smaller than 1 specifying the approximate percentage of participants to be returned per centre.

date

If only participants after a specific date should be considered this can be entered here. Format should be "YYYY-MM-DD" (e.g. "2011-03-26" for March 26th 2011). This date is checked against mnpvisstartdate in the casenodes table.

seed

Allows to configure a seed for id sampling. Every centre will use a small variation of this seed.

Examples

# export location
expot_loc <- system.file("extdata", "sT_exports", "lnames",
                         "s_export_CSV-xls_CTU05_long_ref_miss_en_utf8.zip",
                         package = "secuTrialR")
# read export
sT_export <- read_secuTrial(expot_loc)

# return random participants
return_random_participants(sT_export, percent = 0.25, seed = 1337, date = "2019-03-18",
                           centres = c("Inselspital Bern (RPACK)", "Charité Berlin (RPACK)"))