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

wfs: wfs: Extracting and Reshaping World Fertility Survey Data in...

GITHUB

grodri/wfs: Extracting and Reshaping World Fertility Survey Data using R

R: wfs: Extracting and Reshaping World Fertility Survey Data in...
wfsR Documentation
wfs: Extracting and Reshaping

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

wf: Waterfall display

CRAN

seewave: Sound Analysis and Synthesis

display of
a short-term Fourier transform or of any matrix.
Usage

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

wf: Get the index of the first/last TRUE

CRAN

checkmate: Fast and Versatile Argument Checks

Description
A quick C implementation for “which.first” (head(which(x), 1)) and
“which.last” (tail(which(x), 1)).

wf: write dataframe to feather file

GITHUB

johnfrye/fryeutilities:

to feather file
Usage
wf(df, dfname, directory = here::here("feather"))

wf: Wood's F method

CRAN

momentchi2: Moment-Matching Methods for Weighted Sums of Chi-Squared Random Variables

of chi-squared random variables with the Wood F (WF) method.
Usage
wf(coeff, x)

wf: write dataframe to feather file

GITHUB

johnfrye/fryeR:

to feather file
Usage
wf(df, dfname, directory = here::here("feather"))