Description Usage Arguments Value See Also Examples
Glance accepts an object of type equiv_change_mean
and returns a tibble::tibble()
with
one row of summaries.
Glance does not do any calculations: it just gathers the results in a tibble.
1 2 
x 
a 
... 
Additional arguments. Not used. Included only to match generic signature. 
A onerow tibble::tibble()
with the following
columns:
alpha
the value of alpha passed to this function
n_sample
the number of observations in the sample for which
equivalency is being checked. This is either the value n_sample
passed to this function or the length of the vector data_sample
.
mean_sample
the mean of the observations in the sample for
which equivalency is being checked. This is either the value
mean_sample
passed to this function or the mean of the vector
datasample
.
sd_sample
the standard deviation of the observations in the
sample for which equivalency is being checked. This is either the value
mean_sample
passed to this function or the standard deviation of
the vector datasample
.
n_qual
the number of observations in the qualification data
to which the sample is being compared for equivalency. This is either
the value n_qual
passed to this function or the length of the
vector data_qual
.
mean_qual
the mean of the qualification data to which the
sample is being compared for equivalency. This is either the value
mean_qual
passed to this function or the mean of the vector
data_qual
.
sd_qual
the standard deviation of the qualification data to
which the sample is being compared for equivalency. This is either the
value mean_qual
passed to this function or the standard deviation
of the vector data_qual
.
modcv
logical value indicating whether the equivalency
calculations were performed using the modified CV approach
sp
the value of the pooled standard deviation. If
modecv = TRUE
, this pooled standard deviation includes the
modification to the qualification CV.
t0
the test statistic
t_req
the tvalue for α / 2 and
df = n1 + n2 2
threshold_min
the minimum value of the sample mean that would
result in a pass
threshold_max
the maximum value of the sample mean that would
result in a pass
result
a character vector of either "PASS" or "FAIL"
indicating the result of the test for change in mean
1 2 3 4 5 6 7 8 9 10 11  x0 < rnorm(30, 100, 4)
x1 < rnorm(5, 91, 7)
eq < equiv_change_mean(data_qual = x0, data_sample = x1, alpha = 0.01)
glance(eq)
## # A tibble: 1 x 14
## alpha n_sample mean_sample sd_sample n_qual mean_qual sd_qual modcv
## <dbl> <int> <dbl> <dbl> <int> <dbl> <dbl> <lgl>
## 1 0.01 5 85.8 9.93 30 100. 3.90 FALSE
## # ... with 6 more variables: sp <dbl>, t0 <dbl>, t_req <dbl>,
## # threshold_min <dbl>, threshold_max <dbl>, result <chr>

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