Skip to contents

Broom Related Methods

Source: R/broomMethods.R
broomMethods.Rd

These functions give compact summaries of a "nestedLogit" object

glance

Construct a single row summaries for the dichotomies "nestedLogit" model.

tidy

Summarizes the terms in "nestedLogit" model.

Usage

# S3 method for nestedLogit
glance(x, ...)

# S3 method for nestedLogit
tidy(x, ...)

Arguments

x

an object of class "nestedLogit".

...

arguments to be passed down.

Value

  • glance returns a tibble containing one row of fit statistics for each dichotomy, labeled response. See glance for details.

  • tidy returns a tibble containing coefficient estimates and test statistics for the combinations of response and term. See tidy for details.

See also

nestedMethods, glance, tidy

Examples

data("Womenlf", package = "carData")
m <-  nestedLogit(partic ~ hincome + children,
                  dichotomies = logits(work=dichotomy("not.work",
                                                      working=c("parttime", "fulltime")),
                                       full=dichotomy("parttime", "fulltime")),
                  data=Womenlf)

# one-line summaries
broom::glance(m)
#> # A tibble: 2 × 9
#>   response null.deviance df.null logLik   AIC   BIC deviance df.residual  nobs
#>   <chr>            <dbl>   <int>  <dbl> <dbl> <dbl>    <dbl>       <int> <int>
#> 1 work              356.     262 -160.   326.  336.     320.         260   263
#> 2 full              144.     107  -52.2  110.  119.     104.         105   108
# coefficients and tests
broom::tidy(m)
#> # A tibble: 6 × 6
#>   response term            estimate std.error statistic      p.value
#>   <chr>    <chr>              <dbl>     <dbl>     <dbl>        <dbl>
#> 1 work     (Intercept)       1.34      0.384       3.48 0.000500    
#> 2 work     hincome          -0.0423    0.0198     -2.14 0.0324      
#> 3 work     childrenpresent  -1.58      0.292      -5.39 0.0000000700
#> 4 full     (Intercept)       3.48      0.767       4.53 0.00000580  
#> 5 full     hincome          -0.107     0.0392     -2.74 0.00615     
#> 6 full     childrenpresent  -2.65      0.541      -4.90 0.000000957