# resample: More Random Samples In ProjectMOSAIC/mosaic: Project MOSAIC Statistics and Mathematics Teaching Utilities

## Description

These functions simplify and unify sampling in various ways.

## Usage

 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 resample(..., replace = TRUE) deal(...) shuffle(x, replace = FALSE, prob = NULL, groups = NULL, orig.ids = FALSE) sample(x, size, replace = FALSE, ...) ## Default S3 method: sample(x, size, replace = FALSE, prob = NULL, groups = NULL, orig.ids = FALSE, ...) ## S3 method for class 'data.frame' sample(x, size, replace = FALSE, prob = NULL, groups = NULL, orig.ids = TRUE, fixed = names(x), shuffled = c(), invisibly.return = NULL, ...) ## S3 method for class 'matrix' sample(x, size, replace = FALSE, prob = NULL, groups = NULL, orig.ids = FALSE, ...) ## S3 method for class 'factor' sample(x, size, replace = FALSE, prob = NULL, groups = NULL, orig.ids = FALSE, drop.unused.levels = FALSE, ...)

## Arguments

 ... additional arguments passed to base::sample() or mosaic::sample(). replace Should sampling be with replacement? x Either a vector of one or more elements from which to choose, or a positive integer. prob A vector of probability weights for obtaining the elements of the vector being sampled. groups a vector (or variable in a data frame) specifying groups to sample within. This will be recycled if necessary. orig.ids a logical; should original ids be included in returned data frame? size a non-negative integer giving the number of items to choose. fixed a vector of column names. These variables are shuffled en masse, preserving associations among these columns. shuffled a vector of column names. these variables are reshuffled individually (within groups if groups is specified), breaking associations among these columns. examples. invisibly.return a logical, should return be invisible? drop.unused.levels a logical, should unused levels be dropped?

## Details

These functions are wrappers around sample() providing different defaults and natural names.

## Examples

 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 # 100 Bernoulli trials -- no need for replace=TRUE resample(0:1, 100) tally(resample(0:1, 100)) if (require(mosaicData)) { Small <- sample(KidsFeet, 10) resample(Small) tally(~ sex, data=resample(Small)) tally(~ sex, data=resample(Small)) # fixed marginals for sex tally(~ sex, data=Small) tally(~ sex, data=resample(Small, groups=sex)) # shuffled can be used to reshuffle some variables within groups # orig.id shows where the values were in original data frame. Small <- mutate(Small, id1 = paste(sex,1:10, sep=":"), id2 = paste(sex,1:10, sep=":")) resample(Small, groups=sex, shuffled=c("id1","id2")) } deal(Cards, 13) # A Bridge hand shuffle(Cards)

ProjectMOSAIC/mosaic documentation built on Aug. 19, 2018, 9:14 a.m.