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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | rSPARCS_0.1.1.tar.gz |
72.8 KiB |
0.1.1 |
rolling linux/noble R-4.5 | rSPARCS_0.1.1.tar.gz |
72.6 KiB |
0.1.1 |
rolling source/ R- | rSPARCS_0.1.1.tar.gz |
12.6 KiB |
0.1.1 |
latest linux/jammy R-4.5 | rSPARCS_0.1.1.tar.gz |
72.8 KiB |
0.1.1 |
latest linux/noble R-4.5 | rSPARCS_0.1.1.tar.gz |
72.6 KiB |
0.1.1 |
latest source/ R- | rSPARCS_0.1.1.tar.gz |
12.6 KiB |
0.1.1 |
2026-04-26 source/ R- | rSPARCS_0.1.1.tar.gz |
12.6 KiB |
0.1.1 |
2026-04-23 source/ R- | rSPARCS_0.1.1.tar.gz |
12.6 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | rSPARCS_0.1.1.zip |
75.3 KiB |
0.1.1 |
2025-04-20 source/ R- | rSPARCS_0.1.1.tar.gz |
12.6 KiB |