
Plot colony genetic-health trends from a snapshot history
Source:R/plotSnapshotTrends.R
plotSnapshotTrends.RdDraws the longitudinal trend view of a colony snapshot history (issue
#167): one ggplot object faceted per metric (free y scales), with
snapshotDate on the x axis and one colored series per
membershipRule, so successive snapshots are compared like with
like. Sampling-uncertainty ribbons are drawn exactly where the schema
carries a standard error: fg (fgSE) and meanGu
(meanGuSE) — the Monte Carlo gene-drop uncertainty is surfaced,
never hidden. Date labels that would overlap on a narrow panel are dropped
instead of drawn over one another.
Arguments
- history
data.frame holding the snapshot history in the 27-column version-1 schema; validated internally with
checkSnapshotHistory. A trend needs at least two snapshots.- metrics
character vector naming the metric columns to facet. The default
NULLplots the 18 metric columns (thereportGV()colony scalars and the Summary Statistics aggregates); the composition counts (nAnimals,nMales,nFemales) may be requested to make membership churn visible.- ncol
single positive whole number: how many columns of panels to draw. The default
NULLleaves the grid toggplot2(5 columns for the 18 default metrics). A narrow figure needs fewer columns, so each panel stays wide enough for its title; the Genetic-Health Trends tab picks the number from the width of its plot. A number above the count of panels draws one column for each panel.
Details
Snapshots whose provenance (guIter, guThresh, or
packageVersion) changed relative to the same rule's previous
snapshot are drawn with a distinct point shape, and the plot carries a
caption naming the changed fields: mixed-provenance series are flagged,
not refused.
Snapshots rebuilt from studbook dates by
backfillColonySnapshots are filed under the rule
"reconstructedLiving" (issue #170). That series is drawn as a dashed
line, the recorded rules stay solid, and the caption says the dashed lines
are rebuilt and were not recorded at the time.
Examples
history <- checkSnapshotHistory(readSnapshotHistory(system.file("extdata",
"examples", "example_snapshot_history.csv",
package = "nprcgenekeepr"
)))
p <- plotSnapshotTrends(history, metrics = c("fe", "fg", "meanGu"))