add_significance_marks: Annotate significance of data
In shaliulab/idocr: Analyze traces created in the Individual Drosophila Optogenetics Conditioner (IDOC)
add_significance_marks R Documentation
Annotate significance of data
Description
Annotate significance of data
Usage
add_significance_marks(
panel,
test,
annotation_df,
y_annotation,
vjust,
textsize,
map_signif_level,
family,
xmin = 1,
xmax = 2,
offset
)
Arguments
annotation_df
(data.frame): contains columns stars and whatever
variable segregating datasets
y_annotation
(numeric): Position along the y axis where to place
the annotation
offset
(numeric): how many units to trim the line
connecting the compared datasets
panel:
ggplot2 graph
test:
function used to compute the p-value
shaliulab/idocr documentation built on June 1, 2025, 4:59 p.m.
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| add_significance_marks | R Documentation |
Annotate significance of data
Description
Annotate significance of data
Usage
add_significance_marks(
panel,
test,
annotation_df,
y_annotation,
vjust,
textsize,
map_signif_level,
family,
xmin = 1,
xmax = 2,
offset
)
Arguments
annotation_df |
(data.frame): contains columns stars and whatever variable segregating datasets |
y_annotation |
(numeric): Position along the y axis where to place the annotation |
offset |
(numeric): how many units to trim the line connecting the compared datasets |
panel: |
ggplot2 graph |
test: |
function used to compute the p-value |
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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