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data-raw/ | ||
^README\.Rmd$ | ||
^README-.*\.png$ | ||
^CONDUCT\.md$ |
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# Contributor Code of Conduct | ||
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As contributors and maintainers of this project, we pledge to respect all people who | ||
contribute through reporting issues, posting feature requests, updating documentation, | ||
submitting pull requests or patches, and other activities. | ||
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We are committed to making participation in this project a harassment-free experience for | ||
everyone, regardless of level of experience, gender, gender identity and expression, | ||
sexual orientation, disability, personal appearance, body size, race, ethnicity, age, or religion. | ||
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Examples of unacceptable behavior by participants include the use of sexual language or | ||
imagery, derogatory comments or personal attacks, trolling, public or private harassment, | ||
insults, or other unprofessional conduct. | ||
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Project maintainers have the right and responsibility to remove, edit, or reject comments, | ||
commits, code, wiki edits, issues, and other contributions that are not aligned to this | ||
Code of Conduct. Project maintainers who do not follow the Code of Conduct may be removed | ||
from the project team. | ||
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Instances of abusive, harassing, or otherwise unacceptable behavior may be reported by | ||
opening an issue or contacting one or more of the project maintainers. | ||
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This Code of Conduct is adapted from the Contributor Covenant | ||
(http:contributor-covenant.org), version 1.0.0, available at | ||
http://contributor-covenant.org/version/1/0/0/ |
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<!-- README.md is generated from README.Rmd. Please edit that file --> | ||
[![Build Status](https://travis-ci.org/philmikejones/rakeR.svg?branch=master)](https://travis-ci.org/philmikejones/rakeR) | ||
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rakeR | ||
===== | ||
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Create a spatial microsimulated data set in R using iterative proportional fitting ('raking'). | ||
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Install | ||
------- | ||
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Install the development version with `devtools`: | ||
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``` r | ||
# Obtain devtools if you don't already have it installed | ||
# install.packages("devtools") | ||
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# Install rakeR development version from GitHub | ||
devtools::install_github("philmikejones/rakeR") | ||
``` | ||
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Load the package with: | ||
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``` r | ||
library("rakeR") | ||
#> | ||
#> Attaching package: 'rakeR' | ||
#> The following object is masked from 'package:stats': | ||
#> | ||
#> simulate | ||
``` | ||
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Raking | ||
------ | ||
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To perform the raking you should supply two data frames, one with the constraint information with counts per category for each zone (e.g. census counts) and one with individual--level data (i.e. one row per individual). In addition supply a character vector with constraint variable names. | ||
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``` r | ||
cons <- data.frame( | ||
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"zone" = letters[1:3], | ||
"a0_49" = c(8, 2, 7), | ||
"a_gt50" = c(4, 8, 4), | ||
"f" = c(6, 6, 8), | ||
"m" = c(6, 4, 3) | ||
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) | ||
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inds <- data.frame( | ||
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"id" = LETTERS[1:5], | ||
"age" = c("a_gt50", "a_gt50", "a0_49", "a_gt50", "a0_49"), | ||
"sex" = c("m", "m", "m", "f", "f"), | ||
"income" = c(2868, 2474, 2231, 3152, 2473), | ||
stringsAsFactors = FALSE | ||
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) | ||
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vars <- c("age", "sex") | ||
``` | ||
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- (Re-)weighting is done with `weight()` which returns a data frame of fractional weights. | ||
- Integerisation is performed with `integerise()` which returns a data frame of integerised weights. | ||
- `simulate()` takes care of creating the final microsimulated data and returns a data frame of simulated cases in zones. | ||
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These functions can be combined with pipes: | ||
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``` r | ||
# obtain magrittr if not already installed | ||
# install.packages("magrittr") | ||
library("magrittr") | ||
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sim_df <- weight(cons, inds, vars) %>% integerise() %>% simulate(inds = inds) | ||
sim_df | ||
#> id age sex income zone | ||
#> 1 A a_gt50 m 2868 a | ||
#> 2 B a_gt50 m 2474 a | ||
#> 3 C a0_49 m 2231 a | ||
#> 3.1 C a0_49 m 2231 a | ||
#> 3.2 C a0_49 m 2231 a | ||
#> 3.3 C a0_49 m 2231 a | ||
#> 4 D a_gt50 f 3152 a | ||
#> 4.1 D a_gt50 f 3152 a | ||
#> 5 E a0_49 f 2473 a | ||
#> 5.1 E a0_49 f 2473 a | ||
#> 5.2 E a0_49 f 2473 a | ||
#> 5.3 E a0_49 f 2473 a | ||
#> 1.1 A a_gt50 m 2868 b | ||
#> 1.2 A a_gt50 m 2868 b | ||
#> 2.1 B a_gt50 m 2474 b | ||
#> 3.4 C a0_49 m 2231 b | ||
#> 4.2 D a_gt50 f 3152 b | ||
#> 4.3 D a_gt50 f 3152 b | ||
#> 4.4 D a_gt50 f 3152 b | ||
#> 4.5 D a_gt50 f 3152 b | ||
#> 4.6 D a_gt50 f 3152 b | ||
#> 5.4 E a0_49 f 2473 b | ||
#> 5.5 E a0_49 f 2473 b | ||
#> 2.2 B a_gt50 m 2474 c | ||
#> 3.5 C a0_49 m 2231 c | ||
#> 4.7 D a_gt50 f 3152 c | ||
#> 4.8 D a_gt50 f 3152 c | ||
#> 5.6 E a0_49 f 2473 c | ||
#> 5.7 E a0_49 f 2473 c | ||
#> 5.8 E a0_49 f 2473 c | ||
#> 5.9 E a0_49 f 2473 c | ||
#> 5.10 E a0_49 f 2473 c | ||
#> 5.11 E a0_49 f 2473 c | ||
``` | ||
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Alternatively use the `rake()` function, which is a wrapper for `weight() %>% integerise() %>% simulate()`: | ||
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``` r | ||
sim_df <- rake(cons, inds, vars) | ||
sim_df | ||
#> id age sex income zone | ||
#> 1 A a_gt50 m 2868 a | ||
#> 2 B a_gt50 m 2474 a | ||
#> 3 C a0_49 m 2231 a | ||
#> 3.1 C a0_49 m 2231 a | ||
#> 3.2 C a0_49 m 2231 a | ||
#> 3.3 C a0_49 m 2231 a | ||
#> 4 D a_gt50 f 3152 a | ||
#> 4.1 D a_gt50 f 3152 a | ||
#> 5 E a0_49 f 2473 a | ||
#> 5.1 E a0_49 f 2473 a | ||
#> 5.2 E a0_49 f 2473 a | ||
#> 5.3 E a0_49 f 2473 a | ||
#> 1.1 A a_gt50 m 2868 b | ||
#> 1.2 A a_gt50 m 2868 b | ||
#> 2.1 B a_gt50 m 2474 b | ||
#> 3.4 C a0_49 m 2231 b | ||
#> 4.2 D a_gt50 f 3152 b | ||
#> 4.3 D a_gt50 f 3152 b | ||
#> 4.4 D a_gt50 f 3152 b | ||
#> 4.5 D a_gt50 f 3152 b | ||
#> 4.6 D a_gt50 f 3152 b | ||
#> 5.4 E a0_49 f 2473 b | ||
#> 5.5 E a0_49 f 2473 b | ||
#> 2.2 B a_gt50 m 2474 c | ||
#> 3.5 C a0_49 m 2231 c | ||
#> 4.7 D a_gt50 f 3152 c | ||
#> 4.8 D a_gt50 f 3152 c | ||
#> 5.6 E a0_49 f 2473 c | ||
#> 5.7 E a0_49 f 2473 c | ||
#> 5.8 E a0_49 f 2473 c | ||
#> 5.9 E a0_49 f 2473 c | ||
#> 5.10 E a0_49 f 2473 c | ||
#> 5.11 E a0_49 f 2473 c | ||
``` | ||
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Contributions | ||
============= | ||
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Please note that this project is released with a [Contributor Code of Conduct](CONDUCT.md). By participating in this project you agree to abide by its terms. | ||
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Feedback on the API, bug reports/issues, and pull requests are very welcome. | ||
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If making a pull request **do not** push to `origin/master`! `origin/master` is a protected branch and expects CI tests to have been successfully completed before it will merge code. | ||
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Develop in a new branch, check your changes with `devtools::check()`, and submit a pull request which will be checked by Travis CI. | ||
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Acknowledgements | ||
---------------- | ||
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Many of the functions in this package are based on code written by [Robin Lovelace](https://github.com/Robinlovelace) and [Morgane Dumont](https://github.com/modumont) for their book [*Spatial Microsimulation with R* (2016), Chapman and Hall/CRC Press](https://www.crcpress.com/Spatial-Microsimulation-with-R/Lovelace-Dumont/p/book/9781498711548). Their book is also an excellent resource for learning about spatial microsimulation and understanding what's going on under the hood of this package. | ||
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The rewighting (ipfp) algorithm itself is [written by Andrew Blocker](https://github.com/awblocker/ipfp) and is written in `C` for maximum speed and efficiency. | ||
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Contact | ||
------- | ||
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philmikejones at gmail dot com | ||
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Licenses | ||
-------- | ||
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Copyright 2016 Phil Mike Jones. | ||
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rakeR is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. | ||
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rakeR is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. | ||
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You should have received a copy of the GNU General Public License along with rakeR. If not, see <http://www.gnu.org/licenses/>. | ||
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See [LICENSE](https://github.com/philmikejones/rakeR/blob/master/LICENSE) |