Aceh: Food Prices in Aceh

CRAN

ifpd: Indonesia Food Prices Data

R: Food Prices in Aceh
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

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

law: Law School Data

GITHUB

jeksterslabds/jeksterslabRdatarepo: Data Repository

R: Law School Data
lawR Documentation
Law School Data

law: Law school data from Efron and Tibshirani

CRAN

bootstrap: Functions for the Book "An Introduction to the Bootstrap"

R: Law school data from Efron and Tibshirani
lawR Documentation
Law school data from Efron and Tibshirani

monad-laws: Monad Laws

CRAN

monad: Operators and Generics for Monads

R: Monad Laws
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

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")

functor-laws: Functor Laws

CRAN

monad: Operators and Generics for Monads

R: Functor Laws
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

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: SpatialPolygonsDataFrame for the state of Washington, USA

CRAN

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: 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

law-plot3d: Static 3D convergence in law

CRAN

ConvergenceConcepts: Seeing Convergence Concepts in Action

R: Static 3D convergence in law
law.plot3dR Documentation
Static 3D convergence in law

law: A dataset for test

GITHUB

lxz124/StatComp18090: Some functions for 'Statistical Computing' course.

, GPA) of length 15.
Usage
data(law)

law-plot2d: Interactive 2D convergence in law

CRAN

ConvergenceConcepts: Seeing Convergence Concepts in Action

R: Interactive 2D convergence in law
law.plot2dR Documentation
Interactive 2D convergence in law

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