parse_terms: Convert a regression model object to a parsed list matching...
In ddsjoberg/clintable: Presentation-Ready Data Summary Tables
Description
Usage
Arguments
Value
Description
With the parse_terms() function, each term in the tidied model is parsed and
matched with a variable name.
Usage
1
parse_terms(x, tidy_model, show_yesno)
Arguments
x
regression model object
tidy_model
tidied model output from tidy_wrap function
show_yesno
categorical and factor variables that are c("No", "Yes") or
c("no", "yes") default to dichotomous printing. To force both levels to be shown
Value
list with one entry for each variable, each element are the terms from
the regression model.For categorical variables, the reference level has been added.
ddsjoberg/clintable documentation built on June 9, 2019, 1:51 a.m.
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Description Usage Arguments Value
Description
With the parse_terms() function, each term in the tidied model is parsed and
matched with a variable name.
Usage
1 | parse_terms(x, tidy_model, show_yesno)
|
Arguments
x |
regression model object |
tidy_model |
tidied model output from tidy_wrap function |
show_yesno |
categorical and factor variables that are |
Value
list with one entry for each variable, each element are the terms from the regression model.For categorical variables, the reference level has been added.
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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