Papua: Food Prices in Papua

CRAN

ifpd: Indonesia Food Prices Data

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

xl2: The lead 'l' vehicle location 'xl2' at time 't2'.

CRAN

cartools: Tools for Understanding Highway Performance

R: The lead 'l' vehicle location 'xl2' at time 't2'.
xl2R Documentation
The lead l vehicle location xl2 at time t2

xl2: The lead 'l' vehicle location 'xl2' at time 't2'.

GITHUB

PJOssenbruggen/Basic: Tools for Understanding Highway Performance

R: The lead 'l' vehicle location 'xl2' at time 't2'.
xl2R Documentation
The lead l vehicle location xl2 at time t2

WA: Weighted averaging (WA) regression and calibration

CRAN

rioja: Analysis of Quaternary Science Data

lean=FALSE)
## S3 method for class 'WA'
predict(object, newdata=NULL, sse=FALSE, nboot=100,

WA: Weighted averaging (WA) regression and calibration

GITHUB

nsj3/rioja: Analysis of Quaternary Science Data

lean=FALSE)
## S3 method for class 'WA'
predict(object, newdata=NULL, sse=FALSE, nboot=100,

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

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

PapuaBarat: Food Prices in Papua Barat

CRAN

ifpd: Indonesia Food Prices Data

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

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

colors.100: 100 distinct colors

GITHUB

bblodfon/usefun: A Collection of Useful Functions by John

R: 100 distinct colors
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

colors.100: 100 distinct colors

CRAN

usefun: A Collection of Useful Functions by John

R: 100 distinct colors
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

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

peaks.df.norm.100: Normalized Peak Shapes with 100 Observations

CRAN

forceR: Force Measurement Analyses

R: Normalized Peak Shapes with 100 Observations
peaks.df.norm.100R Documentation
Normalized Peak Shapes with 100