tboot {tboot} | R Documentation |
Function tboot
Description
Bootstrap nrow
rows of dataset
using
the given row-level weights.
Usage
tboot(nrow, weights, dataset = weights$dataset, fillMissingAug = TRUE)
Arguments
nrow |
Number of rows in the new bootstrapped dataset. |
weights |
An object of class 'tweights' output from the 'tweights' function. |
dataset |
Data frame or matrix to bootstrap. By default, the dataset will come from the tweights object. Rows of the dataset must be in the same order as was used for the 'tweights' call. However the dataset may include additional columns not included in the 'tweights' call. |
fillMissingAug |
Fill in missing augmentation with primary weights resampling. |
Details
Bootstrap samples from a dataset using the tilted weights. Details are further described in the vignette.
Value
A simulated dataset with 'nrow' rows.
See Also
Examples
target=c(Sepal.Length=5.5, Sepal.Width=2.9, Petal.Length=3.4)
w = tweights(dataset = iris, target = target, silent = TRUE)
simulated_data = tboot(nrow = 1000, weights = w)
[Package tboot version 0.2.1 Index]