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).

#>#>#> # 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## # 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 x 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 #> # … with 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>