build.sbp: Build Sequential Binary Partition
In florale/multilevelcoda: Estimate Bayesian Multilevel Models for Compositional Data
build.sbp R Documentation
Build Sequential Binary Partition
Description
Build a default sequential binary partition for complr object.
The default sequential binary partition is a pivot balance that allows
the effect of this first balance coordinate to be interpreted as the change
in the prediction for the dependent variable
when that given part increases while all remaining parts decrease by a common proportion.
Usage
build.sbp(parts)
Arguments
parts
A character vector specifying the names of compositional variables to be used.
Value
A matrix sequential binary partition.
Examples
sbp1 <- build.sbp(parts = c("TST", "WAKE", "MVPA", "LPA", "SB"))
print(sbp1)
sbp2 <- build.sbp(c("WAKE", "MVPA", "LPA", "SB"))
print(sbp2)
florale/multilevelcoda documentation built on Oct. 14, 2024, 4:51 a.m.
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| build.sbp | R Documentation |
Build Sequential Binary Partition
Description
Build a default sequential binary partition for complr object.
The default sequential binary partition is a pivot balance that allows
the effect of this first balance coordinate to be interpreted as the change
in the prediction for the dependent variable
when that given part increases while all remaining parts decrease by a common proportion.
Usage
build.sbp(parts)
Arguments
parts |
A character vector specifying the names of compositional variables to be used. |
Value
A matrix sequential binary partition.
Examples
sbp1 <- build.sbp(parts = c("TST", "WAKE", "MVPA", "LPA", "SB"))
print(sbp1)
sbp2 <- build.sbp(c("WAKE", "MVPA", "LPA", "SB"))
print(sbp2)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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