classification.Rd++ strong positive effect: max(threshold) < lcl
+ positive effect: reference < lcl < max(threshold) and
max(threshold) < ucl
+~ moderate positive effect: reference < lcl and
ucl < max(threshold)
~ no effect: min(threshold) < lcl < reference and
reference < ucl < max(threshold)
-~ moderate negative effect: min(threshold) < lcl and
ucl < reference
- negative effect: lcl < min(threshold) and
min(threshold) < ucl < reference
-- strong negative effect: ucl < min(threshold)
?+ potential positive effect: min(threshold) < lcl < reference and
max(threshold) < ucl
?- potential negative effect: lcl < min(threshold) and
reference < ucl < max(threshold)
? unknown effect: lcl < min(threshold) and max(threshold) < ucl
classification(lcl, ucl, threshold, reference = 0)
| lcl | A vector of lower confidence limits. |
|---|---|
| ucl | A vector of upper confidence limits. |
| threshold | A vector of either 1 or 2 thresholds.
A single threshold will be transformed into
|
| reference | The null hypothesis. Defaults to 0. |
Other classification: coarse_classification,
remove_sign