algebra: Algebra for Predicted Marginal Group Means
In rettopnivek/designmatrix: Interfaces for Specifying Design Matrices
Description
Usage
Arguments
Value
Examples
Description
Extracts a table displaying how the predicted marginal
group means would be calculated based on the
specified design matrix and a set of regression
coefficients. Also displays the algebra for the
overall group mean averaging over all groups.
Usage
1
algebra(dm)
Arguments
dm
An object of class designmatrix.
Value
A data frame giving the combinations of grouping
variables and then the sums of the regression
coefficients needed to predict the marginal group means
based on the specified design matrix. The final row
(separated by '-') shows the sums over the regression
coefficients for the predicted overal average.
Examples
1
2
3
# Example with R data set 'PlantGrowth'
dm = designmatrix( PlantGrowth, list( 'weight', 'group' ) )
df = algebra( dm )
rettopnivek/designmatrix documentation built on Jan. 13, 2020, 7:09 p.m.
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Description Usage Arguments Value Examples
Description
Extracts a table displaying how the predicted marginal group means would be calculated based on the specified design matrix and a set of regression coefficients. Also displays the algebra for the overall group mean averaging over all groups.
Usage
1 | algebra(dm)
|
Arguments
dm |
An object of class |
Value
A data frame giving the combinations of grouping variables and then the sums of the regression coefficients needed to predict the marginal group means based on the specified design matrix. The final row (separated by '-') shows the sums over the regression coefficients for the predicted overal average.
Examples
1 2 3 | # Example with R data set 'PlantGrowth'
dm = designmatrix( PlantGrowth, list( 'weight', 'group' ) )
df = algebra( dm )
|
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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