View source: R/get_model_labels.R
term_labels | R Documentation |
This function retrieves variable labels from model terms. In case of categorical variables, where one variable has multiple dummies, variable name and category value is returned.
term_labels( models, mark.cat = FALSE, case = NULL, prefix = c("none", "varname", "label"), ... ) get_term_labels( models, mark.cat = FALSE, case = NULL, prefix = c("none", "varname", "label"), ... ) response_labels(models, case = NULL, multi.resp = FALSE, mv = FALSE, ...) get_dv_labels(models, case = NULL, multi.resp = FALSE, mv = FALSE, ...)
models |
One or more fitted regression models. May also be glm's or mixed models. |
mark.cat |
Logical, if |
case |
Desired target case. Labels will automatically converted into the
specified character case. See |
prefix |
Indicates whether the value labels of categorical variables should be prefixed, e.g. with the variable name or variable label. May be abbreviated. See 'Examples', |
... |
Further arguments passed down to |
mv, multi.resp |
Logical, if |
Typically, the variable labels from model terms are returned. However,
for categorical terms that have estimates for each category, the
value labels are returned as well. As the return value is a named
vector, you can easily use it with ggplot2's scale_*()
functions to annotate plots.
For term_labels()
, a (named) character vector with
variable labels of all model terms, which can be used, for instance,
as axis labels to annotate plots.
For response_labels()
,
a character vector with variable labels from all dependent variables
of models
.
# use data set with labelled data data(efc) fit <- lm(barthtot ~ c160age + c12hour + c161sex + c172code, data = efc) term_labels(fit) # make "education" categorical if (require("sjmisc")) { efc$c172code <- to_factor(efc$c172code) fit <- lm(barthtot ~ c160age + c12hour + c161sex + c172code, data = efc) term_labels(fit) # prefix value of categorical variables with variable name term_labels(fit, prefix = "varname") # prefix value of categorical variables with value label term_labels(fit, prefix = "label") # get label of dv response_labels(fit) }
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.