WA: Weighted averaging (WA) regression and calibration
R: Weighted averaging (WA) regression and calibration
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt
R: Weighted averaging (WA) regression and calibration
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt
R: Weighted averaging (WA) regression and calibration
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt
R: Musical Meter in humdrumR
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML
R: Create 'Meter' Object
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML
R: Generate the <meter> HTML tag.
meterR Documentation
Generate the <meter> HTML tag.
R: Musical Meter in humdrumR
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML
R: Run Lua code
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {
experiment data
Description
Data from vinyl plasticiser formulation experiment in chapter 11 of Design and Analysis
data
Description
Data from vinyl plasticiser formulation experiment in chapter 11 of Design and Analysis
of Washington.
Usage
data("WA")
Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of
Package: meteR
Type: Package
Title: Fitting and Plotting Tools for the Maximum Entropy Theory of
of Washington.
Usage
data("WA")
of Washington.
Usage
data("WA")
and classicial
deshrinking are supported.
Usage
solution
Description
Extracts the weighted averages of a CCA solution
, i.e. a bootstrap procedure is implemented to perform the test, see crit.values.
Usage
WA(data, k_estimator)
of a CCA solution
Description
Extracts the weighted averages of a CCA solution
Package: turtleviewer
Title: WA Turtle Data Viewer
Version: 0.2.0.20200102
Type: Package
Package: wastdr
Title: WA Sea Turtle Database 'WAStD' API Wrapper
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