fakeR: Simulates Data from a Data Frame of Different Variable Types
Version 1.0

Generates fake data from a dataset of different variable types. The package contains the functions simulate_dataset and simulate_dataset_ts to simulate time-independent and time-dependent data. It randomly samples character and factor variables from contingency tables and numeric and ordered factors from a multivariate normal distribution. It currently supports the simulation of stationary and zero-inflated count time series.

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AuthorLily Zhang [aut, cre], Dustin Tingley [aut]
Date of publication2016-05-26 17:54:23
MaintainerLily Zhang <lilyhzhang1029@gmail.com>
LicenseCC0
Version1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("fakeR")

Man pages

fakeR-package: Simulates Data from a Data Frame of Different Variable Types
simulate_dataset: Simulate from a data frame of time-independent data.
simulate_dataset_ts: Simulate a dataframe of time series data

Functions

fakeR Man page
fakeR-package Man page
get_dataset_properties Source code
level3_sim Source code
process_ts Source code
sampct Source code
sim_zeroinfl_pois Source code
simulate_categorical Source code
simulate_dataset Man page Source code
simulate_dataset_ts Man page Source code
simulate_num_and_ordered Source code

Files

inst
inst/doc
inst/doc/my-vignette.html
inst/doc/my-vignette.Rmd
inst/doc/my-vignette.R
tests
tests/testthat.R
NAMESPACE
R
R/fakeR.R
vignettes
vignettes/my-vignette.Rmd
MD5
build
build/vignette.rds
build/partial.rdb
DESCRIPTION
man
man/simulate_dataset.Rd
man/fakeR-package.Rd
man/simulate_dataset_ts.Rd
fakeR documentation built on May 19, 2017, 8:08 a.m.