isDesignFullyCrossed: Determine Whether Factorial Design is Fully Crossed
In hardmanko/CMBBHT: Cell Means Based Bayesian Hypothesis Tests
View source: R/UnwantedFunctions.R
isDesignFullyCrossed R Documentation
Determine Whether Factorial Design is Fully Crossed
Description
Determine whether the factorial design in factors is a fully-crossed design.
Usage
isDesignFullyCrossed(factors, warnOnDuplicate = TRUE)
Arguments
factors
See testHypothesis.
warnOnDuplicate
If TRUE and there are duplicate rows in factors, a warning that extent is emitted. Note that there are legitmate reasons to have duplicate rows in factors.
Value
TRUE if the design is fully crossed, FALSE otherwise.
hardmanko/CMBBHT documentation built on June 9, 2022, 12:44 a.m.
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View source: R/UnwantedFunctions.R
| isDesignFullyCrossed | R Documentation |
Determine Whether Factorial Design is Fully Crossed
Description
Determine whether the factorial design in factors is a fully-crossed design.
Usage
isDesignFullyCrossed(factors, warnOnDuplicate = TRUE)
Arguments
factors |
See |
warnOnDuplicate |
If |
Value
TRUE if the design is fully crossed, FALSE otherwise.
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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