Jambi: Food Prices in Jambi

CRAN

ifpd: Indonesia Food Prices Data

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

Jambi: Jambi MODIS Data

GITHUB

jtrinka/Rfssa_dev: Functional Singular Spectrum Analysis

R: Jambi MODIS Data
JambiR Documentation
Jambi MODIS Data

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: Weighted averaging transfer functions

CRAN

analogue: Analogue and Weighted Averaging Methods for Palaeoecology

The tolerances used in the WA model
computations. These will be similar to tol, but will no
contain any NAs and any small

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB

tmcd82070/SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

tol: Extract the convergence criterion for an 'ipdlme' object

CRAN

ipdmeta: Tools for subgroup analyses with multiple trial data using aggregate statistics

for an ipdlme object
Description
Extract the convergence criterion for the fit of an IPD LME model.

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB

semmons1/TEST-SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

Tols: Ordinary Least Square test

CRAN

MAVTgsa: Three methods to identify differentially expressed gene sets, ordinary least square test, Multivariate Analysis Of Variance test with n contrasts and Random forest.

for one-sided test
Usage
Tols(x, y)

Tol: Tolerances

CRAN

VGAM: Vector Generalized Linear and Additive Models

Usage
Tol(object, ...)
Arguments

tol: Paul Tol's Color Schemes

CRAN

khroma: Colour Schemes for Scientific Data Visualization

such use (Tol 2018):
The spectral order of visible light carries no inherent magnitude
message.

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

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

pillar-package: pillar: Coloured Formatting for Columns

CRAN

pillar: Coloured Formatting for Columns

R: pillar: Coloured Formatting for Columns
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

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

pillar-stats: Get the sums/means/medians/variances of pillars of an...

CRAN

detrendr: Detrend Images

R: Get the sums/means/medians/variances of pillars of an...
pillar-statsR Documentation
Get the sums/means/medians