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rSPARCS  

Sites, Population, and Records Cleaning Skills
View on CRAN: Click here


Download and install rSPARCS package within the R console
Install from CRAN:
install.packages("rSPARCS")

Install from Github:
library("remotes")
install_github("cran/rSPARCS")

Install by package version:
library("remotes")
install_version("rSPARCS", "0.1.1")



Attach the package and use:
library("rSPARCS")
Maintained by
Wangjian Zhang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-12-09
Latest Update: 2023-11-21
Description:
Data cleaning including 1) generating datasets for time-series and case-crossover analyses based on raw hospital records, 2) linking individuals to an areal map, 3) picking out cases living within a buffer of certain size surrounding a site, etc. For more information, please refer to Zhang W,etc. (2018) <doi:10.1016/j.envpol.2018.08.030>.
How to cite:
Wangjian Zhang (2018). rSPARCS: Sites, Population, and Records Cleaning Skills. R package version 0.1.1, https://cran.r-project.org/web/packages/rSPARCS
Previous versions and publish date:
0.0.1 (2018-12-09 16:10), 0.0.2 (2018-12-11 09:50), 0.0.3 (2019-01-29 20:40), 0.0.4 (2019-02-25 16:30), 0.0.5 (2019-08-05 14:00), 0.0.6 (2019-09-26 17:10), 0.0.7 (2019-11-06 15:40), 0.0.8 (2020-07-14 19:10), 0.0.9 (2020-07-16 00:30), 0.1.0 (2020-11-15 22:30)
Other packages that cited rSPARCS R package
View rSPARCS citation profile
Other R packages that rSPARCS depends, imports, suggests or enhances
Functions, R codes and Examples using the rSPARCS R package
Some associated functions: CXover.data . DBFgeocode . FIPS.name . case.series . desc.comp . dupl.readm . exposure_lag . mediationking . pick.cases . raster_extract . 
Some associated R codes: CXover.data.R . DBFgeocode.R . FIPS.name.R . case.series.R . desc.comp.R . dupl.readm.R . exposure_lag.R . mediationking.R . pick.cases.R . raster_extract.R .  Full rSPARCS package functions and examples
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