WA: Weighted averaging (WA) regression and calibration

CRAN

rioja: Analysis of Quaternary Science Data

^2 + v2^2.
Function crossval also returns an object of class WA and adds the following named elements:
predicted

WA: Weighted averaging (WA) regression and calibration

GITHUB

nsj3/rioja: Analysis of Quaternary Science Data

^2 + v2^2.
Function crossval also returns an object of class WA and adds the following named elements:
predicted

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")

wa: Weighted averaging transfer functions

CRAN

analogue: Analogue and Weighted Averaging Methods for Palaeoecology

## tolerance DW
mod3 <- wa(SumSST ~ ., data = ImbrieKipp, tol.dw = TRUE,
min.tol = 2, small.tol = "mean

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

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

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

man/figures/README-unnamed-chunk-7-2.png

pal.4: pal.4

GITHUB

HughParsonage/grattanCharts: Create Charts in the Style of the Grattan Insitute, Melbourne

R: pal.4
pal.4R Documentation
pal.4

extract.quantities.4: extract.quantities.4

GITHUB

cttedwards/seabird2: Read and write SeaBird files in R

R: extract.quantities.4
extract.quantities.4R Documentation
extract.quantities.4

col.4: col.4

GITHUB

HughParsonage/grattanCharts: Create Charts in the Style of the Grattan Insitute, Melbourne

R: col.4
col.4R Documentation
col.4

documentation_taxa.4: documentation_taxa.4

CRAN

rbiom: Read/Write, Analyze, and Visualize 'BIOM' Data

R: documentation_taxa.4
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

varfun.Gati.4: varfun.Gati.4

GITHUB

ManyLabsOpenScience/manylabRs: Analysis scripts and data from the Many Labs projects

R: varfun.Gati.4
varfun.Gati.4R Documentation
varfun.Gati.4

varfun.Alter.4: varfun.Alter.4

GITHUB

ManyLabsOpenScience/manylabRs: Analysis scripts and data from the Many Labs projects

R: varfun.Alter.4
varfun.Alter.4R Documentation
varfun.Alter.4

raj.act.4: Romeo and Juliet: Act 4

CRAN

qdap: Bridging the Gap Between Qualitative Data and Quantitative Analysis

containing Romeo and Juliet: Act 4.
Usage
data(raj.act.4)

panmagic.4: Panmagic squares of order 4

CRAN

magic: Create and Investigate Magic Squares

fundamentally different panmagic squares of order 4.
Usage
panmagic.4(vals = 2^(0:3))