inGraphs {InPosition} | R Documentation |
inGraphs: InPosition plotting function
Description
InPosition plotting function which is an interface to prettyGraphs
.
Usage
inGraphs(res, DESIGN = NULL, x_axis = NULL, y_axis = NULL, inference.info = NULL,
color.by.boots = TRUE, boot.cols = c("plum4", "darkseagreen", "firebrick3"),
fi.col = NULL, fi.pch = NULL, fj.col = NULL, fj.pch = NULL, col.offset = NULL,
constraints = NULL, xlab = NULL, ylab = NULL, main = NULL, bootstrapBars = TRUE,
correlationPlotter = TRUE, biplots = FALSE)
Arguments
res |
results from InPosition or ExPosition. If results are from ExPosition, |
DESIGN |
A design matrix to apply colors (by pallete selection) to row items |
x_axis |
which component should be on the x axis? |
y_axis |
which component should be on the y axis? |
inference.info |
Inference data as output by InPosition (of class inpoOutput). |
color.by.boots |
a boolean. If TRUE, items are colored by bootstrap ratio test. Items larger than |
boot.cols |
vector of colors: |
fi.col |
A matrix of colors for the row items. If NULL, colors will be selected. |
fi.pch |
A matrix of pch values for the row items. If NULL, pch values are all 21. |
fj.col |
A matrix of colors for the column items. If NULL, colors will be selected. |
fj.pch |
A matrix of pch values for the column items. If NULL, pch values are all 21. |
col.offset |
A numeric offset value. Is passed to |
constraints |
Plot constraints as returned from |
xlab |
x axis label |
ylab |
y axis label |
main |
main label for the graph window |
bootstrapBars |
a boolean. If TRUE (default), bootstrap ratio bar plots will be created. |
correlationPlotter |
a boolean. If TRUE (default), a correlation circle plot will be created. Applies to PCA family of methods (CA is excluded for now). |
biplots |
a boolean. If FALSE (default), separate plots are made for row items ($fi) and column items ($fj). If TRUE, row ($fi) and column ($fj) items will be on the same plot. |
Value
Currently, nothing is returned. This function, for now, works as a visualizer for inference tests. Colors and constraints come from the descriptive (fixed effects) analysis.
Author(s)
Derek Beaton
See Also
Examples
data(ep.iris)
data<-ep.iris$data
design<-ep.iris$design
gpca.iris.res <- epGPCA.inference.battery(data,DESIGN=design,make_design_nominal=FALSE)
inGraphs(gpca.iris.res,y_axis=3)