prepare_data: prepare data for iteration process

In childsds: Data and Methods Around Reference Values in Pediatrics

prepare data for iteration process

Description

prepare data for repeated iteration process

Usage

prepare_data(
  data,
  group = NULL,
  subject = "SIC",
  sex = NULL,
  value = "value",
  age = "age",
  lb = -Inf,
  ub = Inf
)

Arguments

data	dataframe containing measurement values, age, sex, and subject identifier
group	optional variable indicating groups of subjects within the data frame in most cases (families)
subject	subject identifier
sex	column containing the sex (or any other stratum), ideally of type character, iteration process will run on each of the levels separately
value	numeric column containing the measurement values
age	numeric column containing the age
lb	optional - lower bound for age
ub	optional - upper bound for age

Details

given a dataframe, the column name of the subject identifier, sex, age, value and group colums, the function creates a dataframe containing only these five columns with the standard column names group, subject, sex, age, value. lines containing missing values are removed.

Value

list of dataframes containing the columns group, subject, sex, age, value; one dataframe for every level of sex

Author(s)

Mandy Vogel

childsds documentation built on March 18, 2022, 7:55 p.m.