rSPARCS: Sites, Population, and Records Cleaning Skills
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>.
Version: |
0.1.1 |
Imports: |
data.table, sf, geosphere, tigris, raster, sp, plyr, dplyr, methods |
Published: |
2023-11-21 |
DOI: |
10.32614/CRAN.package.rSPARCS |
Author: |
Wangjian Zhang [aut, cre],
Zhicheng Du [aut],
Xinlei Deng [aut],
Ziqiang Lin [aut],
Bo Ye [aut],
Jijin Yao [aut],
Yanan Jin [aut],
Wayne Lawrence [aut] |
Maintainer: |
Wangjian Zhang <zhangwj227 at mail.sysu.edu.cn> |
License: |
GPL-3 |
NeedsCompilation: |
no |
CRAN checks: |
rSPARCS results |
Documentation:
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