inf_binom: Run binomial GLM for informal consultation quality components
In jacob-ogre/section7.quality: Section 7 Quality: Analyses for Evansen et al.
Description
Usage
Arguments
Value
Examples
Description
Run binomial GLM for informal consultation quality components
Usage
1
inf_binom(x, y)
Arguments
x
The "informal" data.frame
y
The response variable
Value
A list of results including:
- mods
Four GLM (binomial) model objects
- AICs
AICc values for the four models
- summaries
Results from summary(mod) for the four models
- aovs
Analysis of Variance for the four models
Examples
1
inf_binom(informal, informal$map)
jacob-ogre/section7.quality documentation built on May 28, 2019, 9:56 p.m.
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Description Usage Arguments Value Examples
Description
Run binomial GLM for informal consultation quality components
Usage
1 | inf_binom(x, y)
|
Arguments
x |
The "informal" data.frame |
y |
The response variable |
Value
A list of results including:
- mods
Four GLM (binomial) model objects
- AICs
AICc values for the four models
- summaries
Results from
summary(mod)for the four models- aovs
Analysis of Variance for the four models
Examples
1 | inf_binom(informal, informal$map)
|
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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