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fabricatr
View on CRAN: Click
here
Download and install fabricatr package within the R console
Install from CRAN:
install.packages("fabricatr")
Install from Github:
library("remotes")
install_github("cran/fabricatr") Install by package version:
library("remotes")
install_version("fabricatr", "1.0.2") Attach the package and use:
library("fabricatr")
Maintained by
Graeme Blair
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-01-25
Latest Update: 2024-01-16
Description:
Helps you imagine your data before you collect it. Hierarchical data structures
and correlated data can be easily simulated, either from random number generators or
by resampling from existing data sources. This package is faster with 'data.table' and
'mvnfast' installed.
How to cite:
Graeme Blair (2018). fabricatr: Imagine Your Data Before You Collect It. R package version 1.0.2, https://cran.r-project.org/web/packages/fabricatr. Accessed 07 Jun. 2026.
Previous versions and publish date:
Other packages that cited fabricatr R package
View fabricatr citation profile
Other R packages that fabricatr depends,
imports, suggests or enhances
Complete documentation for fabricatr
Functions, R codes and Examples using
the fabricatr R package
Some associated functions: ALL . correlate . cross_levels . draw_binary_icc . draw_discrete . draw_likert . draw_multivariate . draw_normal_icc . fabricate . fabricatr . get_unique_variables_by_level . join_using . potential_outcomes . recycle . resample_data . reveal_outcomes . split_quantile .
Some associated R codes: aaa_fabricate.R . add_level.R . correlate.R . cross_classify_helpers.R . cross_levels.R . draw_binary_icc.R . draw_multivariate.R . draw_normal_icc.R . fabricatr.R . helper_functions.R . modify_level.R . nest_level.R . potential_outcomes.R . resample_data.R . reveal_outcomes.R . variable_creation_functions.R . Full fabricatr package functions and examples
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