get_marginal_distributions {RESIDE} | R Documentation |
Generate Marginal Distributions for a given data frame
Description
Generate Marginal Distributions from a given data frame with options to specify which variables to use.
Usage
get_marginal_distributions(df, variables = c(), print = FALSE)
Arguments
df |
Data frame to get the marginal distributions from |
variables |
(Optional) variable (columns) to select, Default: c() |
print |
Whether to print the marginal distributions to the console, Default: FALSE |
Details
A function to generate marginal distributions from a given data frame, depending on the variable type the marginals will differ, for binary variables a mean and number of missing is generated for continuous variables, they are first transformed and both mean and sd of the transformed variables are stored along with the quantile mapping for back transformation. For categorical variables, the number of each category is stored, missing values are categorise as "missing".
Value
A list of marginal distributions of an S3 RESIDE Class
See Also
Examples
marginal_distributions <- get_marginal_distributions(
IST,
variables <- c(
"SEX",
"AGE",
"ID14",
"RSBP",
"RATRIAL"
)
)