gg.norm.plot {CJIVE} | R Documentation |
Graphically displays the center and spread of chordal norms for joint/individual score/loading subspaces
gg.norm.plot(
norm.dat,
cols,
show.legend = FALSE,
text.size,
lty = 1,
y.max = 1,
x.lab.angle = 70
)
norm.dat |
data frame with at least the 5 following variables: Norm - the value of the norm for a particular subspace; Type - the subspace for which the norm is given (i.e., joint/individual score/loading for dataset X1 or X2 (except for joint scores)) Method - the method by which the subspace was estimated, e.g. CJIVE, AJIVE, R.JIVE JVE_1 and JVE_2 - labels describing the proportion of joint variation explained in each dataset (and typically the number of variables in dataset X2) |
cols |
a vector of colors, must have length equal to the number of methods used in the simulation |
show.legend |
logical (TRUE/FALSE) for whether a legend should be included in the plot. Default is FALSE |
text.size |
numeric value for the font size |
lty |
linetype (see ggplot2). Default = 1 |
y.max |
maximum value for the horizontal axis of the plot |
x.lab.angle |
angle at which x-axis labels are tilted |
graphical display (via ggplot2)