This function transforms longitudinal data from long format to wide format, ensuring that baseline measurements are correctly labelled and included. It handles multiple observations per subject across different waves, and allows for the specification of baseline variables, exposure variables, and outcome variables. It ensures that all specified variables are included in the resulting wide-format data frame, with columns prefixed by the time of measurement.
Arguments
- .data
A data frame containing the longitudinal data in long format.
- baseline_vars
A character vector of baseline variable names to be included at t0.
- exposure_var
A character vector of exposure variable names to be tracked across time.
- outcome_vars
A character vector of outcome variable names to be tracked across time.
Value
A wide-format data frame with each subject's observations across time points represented in a single row, and variables prefixed by their respective time of measurement.
Examples
# Defining variables as per the function's documentation
baseline_vars <- c(
"male", "age", "eth_cat",
"partner", "agreeableness",
"conscientiousness", "extraversion", "honesty_humility",
"openness", "neuroticism", "sample_weights"
)
exposure_var <- c("forgiveness")
outcome_vars <- c(
"alcohol_frequency", "alcohol_intensity",
"hlth_bmi", "hours_exercise"
)
# df_nz is a synthetic dataset included in this package
# wide_data <- margot_wide(df_nz, baseline_vars, exposure_var, outcome_vars)
# print(wide_data)