mbecVarianceStatsLM: Model Variable Variance Extraction from LM
In buschlab/MBECS: Evaluation and correction of batch effects in microbiome data-sets
Description
Usage
Arguments
Details
Value
View source: R/mbecs_analyses.R
Description
For a Linear Model, this function extracts the proportion of variance
that can be explained by terms and interactions and returns a named
row-vector.
Usage
1
mbecVarianceStatsLM(model.fit)
Arguments
model.fit
A linear model object of class 'lm'.
Details
Linear Model: Perform an analysis of variance (ANOVA) on the model.fit and
return the Sum of squares for each term, scaled by the total sum of squares.
Value
A named row-vector, containing proportional variance for model terms.
buschlab/MBECS documentation built on Jan. 21, 2022, 1:27 a.m.
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Description Usage Arguments Details Value
View source: R/mbecs_analyses.R
Description
For a Linear Model, this function extracts the proportion of variance that can be explained by terms and interactions and returns a named row-vector.
Usage
1 | mbecVarianceStatsLM(model.fit)
|
Arguments
model.fit |
A linear model object of class 'lm'. |
Details
Linear Model: Perform an analysis of variance (ANOVA) on the model.fit and return the Sum of squares for each term, scaled by the total sum of squares.
Value
A named row-vector, containing proportional variance for model terms.
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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