baja: Metadata for Baja Populations.

CRAN
popgraph: This is an R package that constructs and manipulates population graphs.

R: Metadata for Baja Populations.
bajaR Documentation
Metadata for Baja Populations.

WA: Weighted averaging (WA) regression and calibration

CRAN
rioja: Analysis of Quaternary Science Data

R: Weighted averaging (WA) regression and calibration
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

WA: Weighted averaging (WA) regression and calibration

GITHUB
nsj3/rioja: Analysis of Quaternary Science Data

R: Weighted averaging (WA) regression and calibration
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

kota: Indonesia city and regency data

GITHUB
rasyidstat/nusantr: We R Nusantara

of Indonesia cities and regencies with the ID.
Usage
kota

WA: While-Alive Loss Rate for Recurrent Event in the Presence of Death

CRAN
WA: While-Alive Loss Rate for Recurrent Event in the Presence of Death

Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB
tmcd82070/SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

wa: Weighted averaging transfer functions

CRAN
analogue: Analogue and Weighted Averaging Methods for Palaeoecology

and classicial
deshrinking are supported.
Usage

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB
semmons1/TEST-SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

wa: Extracts the weighted averages of a CCA solution

GITHUB
villardon/MultBiplotR: Multivariate Analysis Using Biplots in R

solution
Description
Extracts the weighted averages of a CCA solution

WA: SpatialPolygonsDataFrame for the state of Washington, USA

CRAN
SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

WA: statistic of the Watson goodness-of-fit test for the gamma

CRAN
gofgamma: Goodness-of-Fit Tests for the Gamma Distribution

, i.e. a bootstrap procedure is implemented to perform the test, see crit.values.
Usage
WA(data, k_estimator)

wa: Extracts the weighted averages of a CCA solution

CRAN
MultBiplotR: Multivariate Analysis Using Biplots in R

of a CCA solution
Description
Extracts the weighted averages of a CCA solution

dbca-wa/turtleviewer: WA Turtle Data Viewer

GITHUB
dbca-wa/turtleviewer: WA Turtle Data Viewer

Package: turtleviewer
Title: WA Turtle Data Viewer
Version: 0.2.0.20200102

tf2star: tf2statr: Managing and querying Team Fortress 2 stats

GITHUB
sidjai/tf2statr: Scraping TF2 Stats to get Aggregate Insights

R: tf2statr: Managing and querying Team Fortress 2 stats
tf2starR Documentation
tf2statr: Managing and querying Team

dbca-wa/wastdr: WA Sea Turtle Database 'WAStD' API Wrapper

GITHUB
dbca-wa/wastdr: WA Sea Turtle Database 'WAStD' API Wrapper

Type: Package
Package: wastdr
Title: WA Sea Turtle Database 'WAStD' API Wrapper

olympus/spew_interactive.R:

GITHUB
leerichardson/spew: SPEW Framework for Generating Synthetic Ecosystems

options(error = recover)
# ---------- Set the data-group and filepath

R/wa-counties-boundaries.R:

GITHUB
tiernanmartin/NeighborhoodChangeTypology: Project: Neighborhood Change Typology for King County, WA

(class =  `sf`)
#' @rdname wa-counties-boundaries
#' @export

olympus/data/spew_1.3.0_fixes/prep_sierra_leone.R:

GITHUB
leerichardson/spew: SPEW Framework for Generating Synthetic Ecosystems

# spew on Olympus
# Prepare the data and R Session ---
rm(list = ls())

olympus/data/spew_1.3.0_fixes/prep_palestine.R:

GITHUB
leerichardson/spew: SPEW Framework for Generating Synthetic Ecosystems

# spew on Olympus
# Prepare the data and R Session --------------------------
# Clear R's workspace and load

dbca-wa/etlTurtleNesting: Data ETL of Turtle Nesting Census Data from ODK Central to WAStD

GITHUB
dbca-wa/etlTurtleNesting: Data ETL of Turtle Nesting Census Data from ODK Central to WAStD

-wa/etlTurtleNesting
BugReports: https://github.com/dbca-wa/etlTurtleNesting/issues
License: MIT + file LICENSE