Tidy summarizes information about the components of a model. A model component might be a single term in a regression, a single hypothesis, a cluster, or a class. Exactly what tidy considers to be a model component varies across models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return.
# S3 method for fitdistr
tidy(x, ...)
A fitdistr
object returned by MASS::fitdistr()
.
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in ...
, where they will be ignored. If the misspelled
argument has a default value, the default value will be used.
For example, if you pass conf.lvel = 0.9
, all computation will
proceed using conf.level = 0.95
. Additionally, if you pass
newdata = my_tibble
to an augment()
method that does not
accept a newdata
argument, it will use the default value for
the data
argument.
Other fitdistr tidiers:
glance.fitdistr()
A tibble::tibble()
with columns:
The estimated value of the regression term.
The standard error of the regression term.
The name of the regression term.
# feel free to ignore the following line—it allows {broom} to supply
# examples without requiring the model-supplying package to be installed.
if (requireNamespace("MASS", quietly = TRUE)) {
# load libraries for models and data
library(MASS)
# generate data
set.seed(2015)
x <- rnorm(100, 5, 2)
# fit models
fit <- fitdistr(x, dnorm, list(mean = 3, sd = 1))
# summarize model fit with tidiers
tidy(fit)
glance(fit)
}
#> Warning: NaNs produced
#> Warning: NaNs produced
#> Warning: NaNs produced
#> Warning: NaNs produced
#> Warning: NaNs produced
#> Warning: NaNs produced
#> Warning: NaNs produced
#> Warning: NaNs produced
#> Warning: NaNs produced
#> # A tibble: 1 × 4
#> logLik AIC BIC nobs
#> <logLik> <dbl> <dbl> <int>
#> 1 -211.6533 427. 433. 100