R/classification.R
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)
A vector of lower confidence limits.
A vector of upper confidence limits.
A vector of either 1 or 2 thresholds.
A single threshold will be transformed into
reference + c(-abs(threshold), abs(threshold))
.
The null hypothesis. Defaults to 0.
Other classification functions:
coarse_classification()
,
remove_sign()