R: Examples for 'GGally::broomify'

### ** Examples

data(mtcars)
model <- stats::lm(mpg ~ wt + qsec + am, data = mtcars)
broomified_model <- broomify(model)
str(broomified_model)

tibble[,12] (S3: tbl_df/tbl/data.frame/broomify)
 $ .rownames : chr [1:32] "Mazda RX4" "Mazda RX4 Wag" "Datsun 710" "Hornet 4 Drive" ...
 $ mpg       : num [1:32] 21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ...
 $ wt        : num [1:32] 2.62 2.88 2.32 3.21 3.44 ...
 $ qsec      : num [1:32] 16.5 17 18.6 19.4 17 ...
 $ am        : num [1:32] 1 1 1 0 0 0 0 0 0 0 ...
 $ .fitted   : num [1:32] 22.5 22.2 26.3 20.9 17 ...
 $ .se.fit   : Named num [1:32] 0.72 0.744 0.76 0.685 0.749 ...
  ..- attr(*, "names")= chr [1:32] "Mazda RX4" "Mazda RX4 Wag" "Datsun 710" "Hornet 4 Drive" ...
 $ .resid    : num [1:32] -1.47 -1.158 -3.481 0.543 1.69 ...
 $ .hat      : num [1:32] 0.0857 0.0914 0.0955 0.0776 0.0927 ...
 $ .sigma    : num [1:32] 2.49 2.49 2.4 2.5 2.48 ...
 $ .cooksd   : num [1:32] 0.00916 0.00614 0.05847 0.00111 0.0133 ...
 $ .std.resid: num [1:32] -0.625 -0.494 -1.489 0.23 0.722 ...
 - attr(*, "terms")=Classes 'terms', 'formula'  language mpg ~ wt + qsec + am
  .. ..- attr(*, "variables")= language list(mpg, wt, qsec, am)
  .. ..- attr(*, "factors")= int [1:4, 1:3] 0 1 0 0 0 0 1 0 0 0 ...
  .. .. ..- attr(*, "dimnames")=List of 2
  .. .. .. ..$ : chr [1:4] "mpg" "wt" "qsec" "am"
  .. .. .. ..$ : chr [1:3] "wt" "qsec" "am"
  .. ..- attr(*, "term.labels")= chr [1:3] "wt" "qsec" "am"
  .. ..- attr(*, "order")= int [1:3] 1 1 1
  .. ..- attr(*, "intercept")= int 1
  .. ..- attr(*, "response")= int 1
  .. ..- attr(*, ".Environment")=<environment: 0x55ccffad5338> 
  .. ..- attr(*, "predvars")= language list(mpg, wt, qsec, am)
  .. ..- attr(*, "dataClasses")= Named chr [1:4] "numeric" "numeric" "numeric" "numeric"
  .. .. ..- attr(*, "names")= chr [1:4] "mpg" "wt" "qsec" "am"
 - attr(*, "broom_glance")= tibble [1 × 12] (S3: tbl_df/tbl/data.frame)
  ..$ r.squared    : num 0.85
  ..$ adj.r.squared: num 0.834
  ..$ sigma        : num 2.46
  ..$ statistic    : Named num 52.7
  .. ..- attr(*, "names")= chr "value"
  ..$ p.value      : Named num 1.21e-11
  .. ..- attr(*, "names")= chr "value"
  ..$ df           : Named num 3
  .. ..- attr(*, "names")= chr "numdf"
  ..$ logLik       : num -72.1
  ..$ AIC          : num 154
  ..$ BIC          : num 161
  ..$ deviance     : num 169
  ..$ df.residual  : int 28
  ..$ nobs         : int 32
 - attr(*, "broom_tidy")= tibble [4 × 5] (S3: tbl_df/tbl/data.frame)
  ..$ term     : chr [1:4] "(Intercept)" "wt" "qsec" "am"
  ..$ estimate : num [1:4] 9.62 -3.92 1.23 2.94
  ..$ std.error: num [1:4] 6.96 0.711 0.289 1.411
  ..$ statistic: num [1:4] 1.38 -5.51 4.25 2.08
  ..$ p.value  : num [1:4] 1.78e-01 6.95e-06 2.16e-04 4.67e-02
 - attr(*, "var_x")= chr [1:3] "wt" "qsec" "am"
 - attr(*, "var_y")= chr "mpg"
 - attr(*, "var_x_label")= chr [1:3] "wt***" "qsec***" "am*"

Examples for 'GGally::broomify'

Broomify a model