mult_analysis: Multivariate analysis
In Surajdahal3/SurProj:
Description
Usage
Arguments
Value
Examples
View source: R/mult_analysis.R
Description
Fit the multivariable model comprising all variables identified in
the univariate analysis (univ_analysis()).
Then, the variables that do not contribute to the model
based in a p.value threshold (e.g., p-value > 0.05)
will be excluded and a new smaller model will be fitted.
Usage
1
mult_analysis(data, p_threshold = 0.05)
Arguments
data
A data frame.
p_threshold
Numeric variable between 0 and 1.
Value
The summary for the final logistic model based on FRACTURE outcome versus the significant numerical variables.
Examples
1
Surajdahal3/SurProj documentation built on Dec. 18, 2021, 3:04 p.m.
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Description Usage Arguments Value Examples
View source: R/mult_analysis.R
Description
Fit the multivariable model comprising all variables identified in the univariate analysis (univ_analysis()). Then, the variables that do not contribute to the model based in a p.value threshold (e.g., p-value > 0.05) will be excluded and a new smaller model will be fitted.
Usage
1 | mult_analysis(data, p_threshold = 0.05)
|
Arguments
data |
A data frame. |
p_threshold |
Numeric variable between 0 and 1. |
Value
The summary for the final logistic model based on FRACTURE outcome versus the significant numerical variables.
Examples
1 |
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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