R: Weighted averaging (WA) regression and calibration
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R: Weighted averaging (WA) regression and calibration
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt
R: A data frame of modern and contemporary historical and...
const macros = { "\\R": "\\textsf{R}", "\\code
dana
Format
A data frame with 38 rows and 2 variables:
Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of
in an experimental setting
Description
The Modern data were gathered in an experimental setting in which manure level
of Washington.
Usage
data("WA")
of Washington.
Usage
data("WA")
caterpillarPlot(mod, type = "model") ## with tolerances used in WA model
## plot diagnostics for the WA model
par(mfrow = c(1,2
of Washington.
Usage
data("WA")
Respiration,
Functional Ecology, 8(3), 315-323.
Examples
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
Package: DANA
Type: Package
Title: Data-driven Normalization Assessment for miRNA-Seq Data
R: type
typeR Documentation
type
R: type
typedR Documentation
type
R: Type
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