findMissingPattern function

Find missing data pattern in a given data

Find missing data pattern in a given data i.e. whether variables are systematically missing or sporadically missing. Also calculates missing count and percentage for exploratory purposes.

findMissingPattern(
  dataset = NULL,
  covariates = NULL,
  typeofvar = NULL,
  studyname = NULL,
  treatmentname = NULL,
  outcomename = NULL
)

Arguments

• dataset: data which contains variables of interests
• covariates: vector of variable names that the user is interested in finding a missing data pattern
• typeofvar: type of covariate variables; should be a vector of these values: "continuous", "binary", or "count". Order should follow that of covariates parameter.
• studyname: study name in the data specified
• treatmentname: treatment name in the data specified
• outcomename: outcome name in the data specified

Returns

• missingcount: missing number of patients for each study and covariate

• missingpercent: missing percentage of patients for each study and covariate

• sys_missing: a vector indicating whether each covariate is systematically missing

• spor_missing: a vector indicating whether each covariate is sporadically missing

• sys_covariates: a vector of systematically missing covariates

• spor_covariates: a vector of sporadically missing covariates

• without_sys_covariates: a vector of covariates that are not systematically missing

• covariates: vector of variable names that the user is interested in finding a missing data pattern

• studyname: study name in the data specified

• treatmentname: treatment name in the data specified

• outcomename: outcome name in the data specified

Examples

simulated_dataset <- generate_sysmiss_ipdma_example(Nstudies = 10, Ncov = 5, sys_missing_prob = 0.3, 
magnitude = 0.2, heterogeneity = 0.1)

missP <- findMissingPattern(simulated_dataset, covariates = c("x1", "x2", "x3", "x4", "x5"), 
typeofvar = c("continuous", "binary", "binary", "continuous", "continuous"), studyname = "study",  
treatmentname = "treat", outcomename = "y")
missP