StatKodomBranch: Stat for geom_kodom_branch
In ggkodom: Visualize Individual Longitudinal Trajectories
StatKodomBranch R Documentation
Stat for geom_kodom_branch
Description
Assigns integer base lanes (one per subject) then stacks prediction arms as
fractional sub-lanes above the observed path within each subject's lane.
Usage
StatKodomBranch
Format
A ggproto object.
Details
Rows where medication is NA are the observed path; rows with a non-NA
medication value are prediction arms. The stat replaces NA in
data$medication with "observed" so that the linetype scale can be
driven directly from the medication column:
scale_linetype_manual(
values = c("observed" = "solid", "DrugA" = "dashed", "DrugB" = "dotted")
)
Two internal columns — kodom_lane (integer lane rank) and kodom_track
(cleaned medication value) — are passed through to draw_panel so that
fork connectors can be placed at each subject's branch point.
ggkodom documentation built on June 20, 2026, 5:06 p.m.
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| StatKodomBranch | R Documentation |
Stat for geom_kodom_branch
Description
Assigns integer base lanes (one per subject) then stacks prediction arms as fractional sub-lanes above the observed path within each subject's lane.
Usage
StatKodomBranch
Format
A ggproto object.
Details
Rows where medication is NA are the observed path; rows with a non-NA
medication value are prediction arms. The stat replaces NA in
data$medication with "observed" so that the linetype scale can be
driven directly from the medication column:
scale_linetype_manual(
values = c("observed" = "solid", "DrugA" = "dashed", "DrugB" = "dotted")
)
Two internal columns — kodom_lane (integer lane rank) and kodom_track
(cleaned medication value) — are passed through to draw_panel so that
fork connectors can be placed at each subject's branch point.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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