arrange_regression {papaja} | R Documentation |
Create a Regression Table (defunct)
Description
These methods take glm
or lm
objects to create
a data frame containing a regression table.
This function has been defunct. It is
no longer needed.
Usage
arrange_regression(x, est_name, standardized, conf.int, ...)
Arguments
x |
glm or lm object. See details.
|
est_name |
Character. If NULL (the default) the name given in x
(or a formally correct adaptation, such as "b^* " instead of "b" for
standardized regression coefficients) is used. Otherwise the supplied name
is used. See details.
|
standardized |
Logical. Indicates if coefficients were standardized
(e.g., using scale() ), and leading zeros should be omitted if
appropriate. See details.
|
conf.int |
Numeric. Either a single value (range [0, 1]) giving the
confidence level or a two-column matrix with confidence region bounds as
column names (e.g. "2.5 %" and "97.5 %" ) and coefficient names as row
names (in the same order as they appear in summary(x)$coefficients .
See details.
|
... |
[expressions ] Unnamed arguments are taken to be expression
string(s) to format. Multiple inputs are concatenated together before formatting.
Named arguments are taken to be temporary variables available for substitution.
For glue_data() , elements in ... override the values in .x .
|
Value
data.frame
of class apa_regression_table
.
[Package
papaja version 0.1.3
Index]