urbanization: urbanization : 초등사회 5-2

GITHUB
tidyverse-korea/statdata: Datasets for the elementary, middle, and high school in the Korean textbooks.

R: urbanization : 초등사회 5-2
urbanizationR Documentation
urbanization : 초등사회 5-2

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: 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: 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: SpatialPolygonsDataFrame for the state of Washington, USA

CRAN
SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

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

jasa-btun-anon/BTUN: BTUN: Bradley--Terry for Urban Networks

GITHUB
jasa-btun-anon/BTUN: BTUN: Bradley--Terry for Urban Networks

Package: BTUN
Title: BTUN: Bradley--Terry for Urban Networks
Version: 1.0

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

atepoorthuis/containment-connectivity-urban-systems: Compendium Package for Containment and Connectivity in Dutch Urban Systems

GITHUB
atepoorthuis/containment-connectivity-urban-systems: Compendium Package for Containment and Connectivity in Dutch Urban Systems

in Dutch Urban Systems
Version: 0.0.1
Authors@R:

data-raw/urban/Liao_UrbanInfo.R:

GITHUB
kongdd/missInfo: missing information detect and interpolate

library(latticeGrob)
library(R.matlab)
library(missInfo)

data-raw/urban/Liao_UrbanInfo.R:

GITHUB
kongdd/MissInfo: missing information detect and interpolate

library(latticeGrob)
library(R.matlab)
library(missInfo)

data-raw/Urban-Types.Rmd:

GITHUB
paezha/discrtr: A Companion Package for the Book "Discrete Choice Analysis with 'R'"

for type of ward (the urban/suburban/rural classification is by the planning teams; see https://www.hamilton.ca/develop