View source: R/advanced_validation.R
| imed_sensitivity | R Documentation |
Compares all eligible records with a stricter subset when evidence fields are available. This is descriptive sensitivity analysis, not causal proof.
imed_sensitivity(x, value = "Mean")
x |
An 'imed_db', or a measurement-level data frame such as the output of 'imed_analysis_set()'. The comparability guard is applied, so the records must belong to one compatible comparability class. |
value |
Name of the numeric measurement field to summarise (default '"Mean"'). |
A 'tibble' with columns 'stratum', 'n' (number of finite values), 'mean' and 'median'. The first row summarises all compatible records; a second row for strict-synthesis-eligible records is added when the field 'Strict_Synthesis_Eligibility' is present.
toy <- data.frame(
Study_ID = paste0("S", 1:12),
Comparability_Class = "CLASS_A",
Reported_Unit = "items/L",
Metric_Type = "Abundance",
Strict_Synthesis_Eligibility = "YES",
Group = rep(c("g1", "g2"), 6),
Mean = c(2.1, 3.4, 1.8, 4.0, 2.9, 3.1, 2.4, 3.8, 1.9, 3.3, 2.7, 4.2),
SD = rep(c(0.6, 0.9), 6),
N = rep(c(10, 12, 8), 4)
)
imed_sensitivity(toy)
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