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

iRAM: Generate iRAM (impulse response anlaysis metric) from model...

GITHUB

vwendy/pompom: Person-Oriented Method and Perturbation on the Model

R: Generate iRAM (impulse response anlaysis metric) from model...
iRAMR Documentation
Generate iRAM (impulse

iRAM: Generate iRAM (impulse response anlaysis metric) from model...

CRAN

pompom: Person-Oriented Method and Perturbation on the Model

R: Generate iRAM (impulse response anlaysis metric) from model...
iRAMR Documentation
Generate iRAM (impulse

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

KalimantanTimur: Food Prices in Kalimantan Timur

CRAN

ifpd: Indonesia Food Prices Data

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

KalimantanBarat: Food Prices in Kalimantan Barat

CRAN

ifpd: Indonesia Food Prices Data

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

long: long

GITHUB

tagteam/MedicalRiskPredictionModels: R-codes for book: Medical Risk Prediction Models by Gerds & kattan

R: long
longR Documentation
long

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

Long: Long und Wide

GITHUB

stp4/stp25tools: Tools for data wrangling and statistical transformations

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

long: Convert data to long format

GITHUB

paleolimbot/ofcores: Core and Time Series Data Visualization and Formatting

R: Convert data to long format
longR Documentation
Convert data to long format

long: Convert data to long format

CRAN

mudata: Interchange Tools for Multi-Parameter Spatiotemporal Data

R: Convert data to long format
longR Documentation
Convert data to long format