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

wc: wc word count of ASCII files

GITHUB
GegznaV/hyperSpec2: Work with Hyperspectral Data, i.e. Spectra + Meta Information (Spatial, Time, Concentration, ...)

R: wc word count of ASCII files
wcR Documentation
wc

wc: wc word count of ASCII files

RFORGE
hyperSpec: Work with Hyperspectral Data, i.e. Spectra + Meta Information (Spatial, Time, Concentration, ...)

R: wc word count of ASCII files
wcR Documentation
wc

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")

jvosten/wcs: Loads tidy WCS data

GITHUB
jvosten/wcs: Loads tidy WCS data

Package: wcs
Title: Loads tidy WCS data
Version: 0.1.0

print-wc: Print 'wc' objects

GITHUB
wrathematics/lineSampler: File Sampler

R: Print 'wc' objects
print-wcR Documentation
Print wc objects

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

wc: Write Clip shortcut

GITHUB
Sorenson-Impact/sorensonimpact: Sorenson Impact Internal R Package

R: Write Clip shortcut
wcR Documentation
Write Clip shortcut

wc: Write a data frame to a temporary .csv and open in Excel

GITHUB
dgarmat/dgfunctionpack: Key Functions I Use Often

and open in Excel
Description
Write a data frame to a temporary .csv and open in Excel

wc: Count Letters, Words, and Lines of a File

GITHUB
wrathematics/lineSampler: File Sampler

See title.
Usage
wc(file, chars = TRUE, words = TRUE, lines = TRUE)

wc: Computes Weir and Cockrham estimates of Fstatistics

GITHUB
jgx65/hierfstat: Estimation and Tests of Hierarchical F-Statistics

estimates of Fstatistics
Description
Computes Weir and Cockerham estimates of Fstatistics

wc: Word Count

GITHUB
sachserf/fsf: Collection of miscellanous functions

, macros }); }
return;
wcR Documentation