Package: discretewq 2.4.0.9000

discretewq: Integrated Dataset of Discrete Water Quality in the San Francisco Estuary

Produce an integrated dataset of discrete water quality measurements using any combination of the 17 source datasets included.

Authors:Samuel M Bashevkin [aut, cre], Dave Bosworth [aut], Sarah Perry [aut], Elizabeth B Stumpner [aut], Rosemary Hartman [ctb]

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discretewq.pdf |discretewq.html
discretewq/json (API)
NEWS

# Install 'discretewq' in R:
install.packages('discretewq', repos = c('https://sbashevkin.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/sbashevkin/discretewq/issues

Datasets:
  • DJFMP - DJFMP water quality data
  • DOP - Directed Outflow Project water quality data
  • EDSM - EDSM water quality data
  • EMP - EMP water quality data
  • FMWT - FMWT water quality data
  • NCRO - NCRO water quality data
  • SDO - SDO water quality data
  • SKT - SKT water quality data
  • SLS - SLS water quality data
  • STN - STN water quality data
  • USBR - USBR water quality data
  • USGS_CAWSC - USGS CAWSC water quality data
  • USGS_SFBS - USGS SFBS water quality data
  • YBFMP - YBFMP water quality data
  • baystudy - Bay Study water quality data
  • suisun - Suisun water quality data
  • twentymm - 20mm water quality data

On CRAN:

3.78 score 4 stars 1 packages 25 scripts 1 exports 43 dependencies

Last updated 8 months agofrom:d8c8452c41. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 21 2024
R-4.5-winOKNov 21 2024
R-4.5-linuxOKNov 21 2024
R-4.4-winNOTENov 21 2024
R-4.4-macNOTENov 21 2024
R-4.3-winNOTENov 21 2024
R-4.3-macNOTENov 21 2024

Exports:wq

Dependencies:clicolorspacecpp11dplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclelubridatemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrpurrrR6RColorBrewerRcppreshape2rlangscalesstringistringrtibbletidyrtidyselecttimechangeutf8vctrsviridisLitewithrwqlzoo