jacksample: create several dataframes by jackknife resampling

jacksample function creates num_sample samples without the group of observation k (k=1,...,num_sample). We regroup the original data into num_sample groups by their index.

jacksample(df, num_sample)

Arguments

df

A complete or incomplete dataframe

num_sample

Number of jackknifed samples.

Value

A list of jackknifed dataframes.

References

Statistical Analysis with Missing Data, by Little and Rubin, 2002

Examples

n <- 10000
mu.X <- c(1, 2, 3)
Sigma.X <- matrix(c(9, 3, 2, 3, 4, 0, 2, 0, 1), nrow = 3)
X.complete.cont <- MASS::mvrnorm(n, mu.X, Sigma.X)
rs <- generate_miss(X.complete.cont, 0.5, mechanism = "MNAR2")
ls_boot <- jacksample(rs$X.incomp, 4)