tab_model()
creates HTML tables from regression models.
tab_model(..., transform, show.intercept = TRUE, show.est = TRUE, show.ci = 0.95, show.hdi50 = TRUE, show.se = NULL, show.std = NULL, show.p = TRUE, show.stat = FALSE, show.header = FALSE, show.col.header = TRUE, show.zeroinf = TRUE, show.r2 = TRUE, show.icc = FALSE, show.re.var = FALSE, show.fstat = FALSE, show.aic = FALSE, show.aicc = FALSE, show.dev = FALSE, show.obs = TRUE, terms = NULL, rm.terms = NULL, group.terms = TRUE, order.terms = NULL, title = NULL, pred.labels = NULL, dv.labels = NULL, wrap.labels = 25, string.pred = "Predictors", string.std = "std. Beta", string.ci = "CI", string.se = "std. Error", string.p = "p", ci.hyphen = " – ", minus.sign = "-", separate.ci.col = TRUE, separate.se.col = TRUE, digits = 2, digits.p = 3, emph.p = TRUE, case = "parsed", auto.label = TRUE, bpe = "median")
... | One or more regression models, including glm's or mixed models.
May also be a |
---|---|
transform | A character vector, naming a function that will be applied
on estimates and confidence intervals. By default, |
show.intercept | Logical, if |
show.est | Logical, if |
show.ci | Logical, if |
show.se | Logical, if |
show.std | Indicates whether standardized beta-coefficients should also printed, and if yes, which type of standardization is done. See 'Details'. |
show.p | Logical, adds asterisks that indicate the significance level of estimates to the value labels. |
show.zeroinf | Logical, if |
terms | Character vector with names of those terms (variables) that should
be printed in the table. All other terms are removed from the output. If
|
rm.terms | Character vector with names that indicate which terms should
be removed from the output Counterpart to |
group.terms | Logical, if |
order.terms | Numeric vector, indicating in which order the coefficients should be plotted. See examples in this package-vignette. |
title | Character vector, used as plot title. By default,
|
pred.labels | Character vector with labels of predictor variables.
If not |
dv.labels | Character vector with labels of dependent variables of all fitted models. See 'Examples'. |
wrap.labels | Numeric, determines how many chars of the value, variable or axis labels are displayed in one line and when a line break is inserted. |
string.pred | Character vector,used as headline for the predictor column.
Default is |
string.std | Character vector, used for the column heading of standardized beta coefficients. Default is |
string.ci | Character vector, used for the column heading of confidence interval values. Default is |
string.se | Character vector, used for the column heading of standard error values. Default is |
string.p | Character vector, used for the column heading of p values. Default is |
ci.hyphen | Character vector, indicating the hyphen for confidence interval range. May be an HTML entity. See 'Examples'. |
minus.sign | string, indicating the minus sign for negative numbers. May be an HTML entity. See 'Examples'. |
separate.ci.col | Logical, if |
separate.se.col | Logical, if |
digits | Amount of decimals for estimates |
digits.p | Amount of decimals for p-values |
emph.p | Logical, if |
case | Desired target case. Labels will automatically converted into the
specified character case. See |
auto.label | Logical, if |
bpe | For Stan-models (fitted with the rstanarm- or
brms-package), the Bayesian point estimate is, by default, the median
of the posterior distribution. Use |