Description Usage Arguments Examples
It parses a fitted R model's structure and extracts the components needed to create a dplyr formula for prediction. The function also creates a data frame using a specific format so that other functions in the future can also pass parsed tables to a given formula creating function.
1 | parse_model(model)
|
model |
An R model object. |
1 2 3 4 |
Attaching package: 'dplyr'
The following objects are masked from 'package:stats':
filter, lag
The following objects are masked from 'package:base':
intersect, setdiff, setequal, union
# A tibble: 13 x 14
labels estimate type field_1 field_2 field_3 qr_1 qr_2 qr_3
<chr> <dbl> <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl>
1 (Inte~ 39.4 term <NA> <NA> <NA> -0.177 -0.591 -0.126
2 wt -1.62 term <NA> <NA> {{:}} 0 0.184 0.0101
3 cylcy~ -18.4 term cyl6 <NA> <NA> 0 0 0.428
4 cylcy~ -16.2 term cyl8 <NA> <NA> 0 0 0
5 disp -0.0930 term <NA> {{:}} <NA> 0 0 0
6 cylcy~ 0.111 term cyl6 {{:}} <NA> 0 0 0
7 cylcy~ 0.0880 term cyl8 {{:}} <NA> 0 0 0
8 labels 0 vari~ cyl disp wt NA NA NA
9 model NA vari~ <NA> <NA> <NA> NA NA NA
10 versi~ NA vari~ <NA> <NA> <NA> NA NA NA
11 resid~ NA vari~ <NA> <NA> <NA> NA NA NA
12 sigma2 NA vari~ <NA> <NA> <NA> NA NA NA
13 offset NA vari~ <NA> <NA> <NA> NA NA NA
# ... with 5 more variables: qr_4 <dbl>, qr_5 <dbl>, qr_6 <dbl>, qr_7 <dbl>,
# vals <chr>
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