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childsds (version 0.6)

prepare_data: 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

Value

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

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.