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

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")

census.at.school.500: Census at School 500

GITHUB

iNZightVIT/FutureLearnData: Data sets for the Data to Insight MOOC

R: Census at School 500
census.at.school.500R Documentation
Census at School 500

fibonacci.500: The first 500 Fibonacci numbers.

GITHUB

carloscinelli/benford.analysis: Benford Analysis for Data Validation and Forensic Analytics

R: The first 500 Fibonacci numbers.
fibonacci.500R Documentation
The first 500 Fibonacci numbers.

WA: SpatialPolygonsDataFrame for the state of Washington, USA

CRAN

SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

census.at.school.500: Census at School 500

GITHUB

iNZightVIT/iNZight: A GUI for Data Exploration and Visualisation

R: Census at School 500
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

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: 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)

gbdypi.500: GEBCO 500 m isobath in the N-Atlantic.

CRAN

geo: Draw and Annotate Maps, Especially Charts of the North Atlantic

R: GEBCO 500 m isobath in the N-Atlantic.
gbdypi.500R Documentation
GEBCO 500 m isobath in the N-Atlantic

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

gbdypif.500: GEBCO 500 m isobath around Iceland.

CRAN

geo: Draw and Annotate Maps, Especially Charts of the North Atlantic

R: GEBCO 500 m isobath around Iceland.
gbdypif.500R Documentation
GEBCO 500 m isobath around Iceland.

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

nhanes.samp.adult.500: A random sample of 500 participants age 21 or older from the...

GITHUB

OpenIntroStat/openintro: Datasets and Supplemental Functions from 'OpenIntro' Textbooks and Labs

R: A random sample of 500 participants age 21 or older from the...
const macros = { "\\R": "\\textsf{R}", "\\code

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

limit-500-1000: Limit with default 500 and maximum 1000.

GITHUB

datawookie/binance: Wrapper for Binance API

R: Limit with default 500 and maximum 1000.
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

gbdypif.500: ~~ data name/kind

RFORGE

geo: Draw and Annotate Maps, Especially Charts of the North Atlantic

) description of the dataset. ~~
Usage
data(gbdypif.500)