Report variables with missing data
Report the number of missing observations for each variables of interest relevant for the analysis
report_missing(data, yvar, avar, mvar, cvar, eventvar)
data: Data frame containing the following relevant variables.yvar: A character vector of length 1. Outcome variable name. It should be the time variable for the survival outcome.avar: A character vector of length 1. Treatment variable name.mvar: A character vector of length 1. Mediator variable name.cvar: A character vector of length > 0. Covariate names. Use NULL if there is no covariate. However, this is a highly suspicious situation. Even if avar is randomized, mvar is not. Thus, there are usually some confounder(s) to account for the common cause structure (confounding) between mvar and yvar.eventvar: An character vector of length 1. Only required for survival outcome regression models. Note that the coding is 1 for event and 0 for censoring, following the R survival package convention.No return value, called for side effects.