labels_to_level: Labels to level
In finalfit: Quickly Create Elegant Regression Results Tables and Plots when Modelling
labels_to_level R Documentation
Labels to level
Description
For use with forcats::fct_relabel.
Usage
labels_to_level(.data, .labels)
Arguments
.data
Data frame or tibble.
.labels
Output from extract_variable_label.
Value
Data frame or tibble
Examples
library(dplyr)
vlabels = extract_variable_label(colon_s)
colon_s %>%
select(sex.factor, obstruct.factor) %>%
tidyr::gather() %>%
mutate(
key = forcats::fct_relabel(key, labels_to_level, vlabels)
)
finalfit documentation built on Sept. 11, 2024, 9:01 p.m.
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| labels_to_level | R Documentation |
Labels to level
Description
For use with forcats::fct_relabel.
Usage
labels_to_level(.data, .labels)
Arguments
.data |
Data frame or tibble. |
.labels |
Output from |
Value
Data frame or tibble
Examples
library(dplyr)
vlabels = extract_variable_label(colon_s)
colon_s %>%
select(sex.factor, obstruct.factor) %>%
tidyr::gather() %>%
mutate(
key = forcats::fct_relabel(key, labels_to_level, vlabels)
)
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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