pvc: Production of PVC by operator and resin railcar

CRAN

faraway: Datasets and Functions for Books by Julian Faraway

R: Production of PVC by operator and resin railcar
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

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

PVC: A Modified Algorithm for Principal Volatility Component

CRAN

tsBSS: Blind Source Separation and Supervised Dimension Reduction for Time Series

Volatility Component Estimator
Description
PVC (Principal Volatility Component) estimator for the blind source

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

KalimantanSelatan: Food Prices in Kalimantan Selatan

CRAN

ifpd: Indonesia Food Prices Data

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

KalimantanUtara: Food Prices in Kalimantan Utara

CRAN

ifpd: Indonesia Food Prices Data

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

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: 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

Panel: Panel

CRAN

shiny.fluent: Microsoft Fluent UI for Shiny Apps

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

Panel: Panels

GITHUB

paleolimbot/ggr6: An Implementaation of the Grammar of Graphics in R6

R: Panels
PanelR Documentation
Panels

panel: Panel component for shiny panels layout

CRAN

shinypanels: Shiny Layout with Collapsible Panels

R: Panel component for shiny panels layout
panelR Documentation
Panel component for shiny panels layout

panel: Panel component for shiny panels layout

GITHUB

datasketch/dsAppLayout: Shiny Layout with Collapsible Panels

R: Panel component for shiny panels layout
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

panel: Panel component for shiny panels layout

GITHUB

datasketch/shinypanels: Shiny Layout with Collapsible Panels

R: Panel component for shiny panels layout
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

panel: panel and panel utility functions for spplot

GITHUB

dis-organization/sp_dplyrexpt: Classes and Methods for Spatial Data

R: panel and panel utility functions for spplot
panel.spplotR Documentation
panel and panel utility functions