Glance accepts an object of type basis and returns a
`tibble::tibble()`

with
one row of summaries for each basis value.

Glance does not do any calculations: it just gathers the results in a tibble.

```
# S3 method for basis
glance(x, include_diagnostics = FALSE, ...)
```

- x
a basis object

- include_diagnostics
a logical value indicating whether to include columns for diagnostic tests. Default FALSE.

- ...
Additional arguments. Not used. Included only to match generic signature.

A `tibble::tibble()`

with the following
columns:

`p`

the the content of the tolerance bound. Normally 0.90 or 0.99`conf`

the confidence level. Normally 0.95`distribution`

a string representing the distribution assumed when calculating the basis value`modcv`

a logical value indicating whether the modified CV approach was used. Only applicable to pooling methods.`n`

the sample size`r`

the number of groups used in the calculation. This will be`NA`

for single-point basis values`basis`

the basis value

For the pooled basis methods (`basis_pooled_cv`

and
`basis_pooled_sd`

), the `tibble::tibble()`

returned by `glance`

will have one row for each group included in
the pooling. For all other basis methods, the resulting `tibble`

will have a single row.

If `include_diagnostics=TRUE`

, there will be additional columns
corresponding with the diagnostic tests performed. These column(s) will
be of type character and will contain a "P" if the diagnostic test
passed, a "F" if the diagnostic test failed, an "O" if the diagnostic
test was overridden or `NA`

if the test was not run (typically
because an optional argument was not passed to the function that
computed the basis value).

```
set.seed(10)
x <- rnorm(20, 100, 5)
b <- basis_normal(x = x)
#> `outliers_within_batch` not run because parameter `batch` not specified
#> `between_batch_variability` not run because parameter `batch` not specified
glance(b)
#> # A tibble: 1 × 7
#> p conf distribution modcv n r basis
#> <dbl> <dbl> <chr> <lgl> <int> <lgl> <dbl>
#> 1 0.9 0.95 Normal FALSE 20 NA 92.0
## # A tibble: 1 x 7
## p conf distribution modcv n r basis
## <dbl> <dbl> <chr> <lgl> <int> <lgl> <dbl>
## 1 0.9 0.95 Normal FALSE 20 NA 92.0
glance(b, include_diagnostics = TRUE)
#> # A tibble: 1 × 11
#> p conf distribution modcv n r basis outliers_within_batch
#> <dbl> <dbl> <chr> <lgl> <int> <lgl> <dbl> <chr>
#> 1 0.9 0.95 Normal FALSE 20 NA 92.0 NA
#> # ℹ 3 more variables: between_batch_variability <chr>, outliers <chr>,
#> # anderson_darling_normal <chr>
## # A tibble: 1 x 11
## p conf distribution modcv n r basis outliers_within…
## <dbl> <dbl> <chr> <lgl> <int> <lgl> <dbl> <chr>
## 1 0.9 0.95 Normal FALSE 20 NA 92.0 NA
## # … with 3 more variables: between_batch_variability <chr>,
## # outliers <chr>, anderson_darling_normal <chr>
```