permeability: Permeability.

GITHUB

abarbour/hydrogeo: Tools for hydrogeology and poroelasticity

R: Permeability.
permeabilityR Documentation
Permeability.

permeability: Permeability Data

CRAN

AppliedPredictiveModeling: Functions and Data Sets for 'Applied Predictive Modeling'

R: Permeability Data
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

permeability: Permeability Data

GITHUB

topepo/AppliedPredictiveModeling: Functions and Data Sets for 'Applied Predictive Modeling'

R: Permeability Data
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

permeability: Permeability Data

RFORGE

AppliedPredictiveModeling: Functions and Data Sets for 'Applied Predictive Modeling'

R: Permeability Data
permeabilityR Documentation
Permeability Data

permeability: The data presents the permeability measured in millidarcies

CRAN

DataSetsUni: A Collection of Univariate Data Sets

R: The data presents the permeability measured in millidarcies
const macros = { "\\R": "\\textsf{R}", "\\code

heaviness: Heaviness from parent packages

CRAN

pkgndep: Analyze Dependency Heaviness of R Packages

R: Heaviness from parent packages
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

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

heavy: Robust Estimation Using Heavy-Tailed Distributions

CRAN

heavy: Robust Estimation Using Heavy-Tailed Distributions

Package: heavy
Version: 0.38.196
Title: Robust Estimation Using Heavy-Tailed Distributions

pave: Provide square polygons or their node coordinates along

CRAN

pgirmess: Spatial Analysis and Data Mining for Field Ecologists

node points) along a segment. This can be used to define a sampling grid for spatial analysis.
Usage
pave(cordseg, yc

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

SumateraUtara: Food Prices in Sumatera Utara

CRAN

ifpd: Indonesia Food Prices Data

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

SumateraSelatan: Food Prices in Sumatera Selatan

CRAN

ifpd: Indonesia Food Prices Data

R: Food Prices in Sumatera Selatan
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")

heaviness: Weights Judging Data

CRAN

eba: Elimination-by-Aspects Models

were aggregated across subjects for the
two within-pair presentation orders.
Usage

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")

SumateraUtara_tbl_df: Food Prices in Sumatera Utara

CRAN

IndonesiAPIs: Access Indonesian Data via Public APIs and Curated Datasets

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

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