plot-methods: ~~ Methods for Function plot ~~
Description
~~ Methods for function plot ~~
Methods
signature(x = "moa", y = "missing")-
plot moa object
Argument "value" sould be one of "eig", "tau", "obs", "var" and "RV"\ if value = "eig", the eigenvalue would be plotted as scree plot. The
following arguments could be set:\ type=1 - The type of plot to show eigenvalues.
(type=1: the eigenvalue are plotted;
type=2: partial eigenvalue shown as concatenated bars;
type=3: partial eigenvalue shown as bars side by side;
type=4: matplot view of eigenvales, lty need to be set;
type=5; the two dimensional plot of partial eigenvalues, axes and
pch need to be set in this case.) \
axes=NULL - The axes selected to plot \
n=NULL - Top n eigenvalues to be drawn \
tol=1e-5 - The tolerance of eigenvalue, eigenvalues lower than
this value will not be shown. \
legend=NULL - legend to put, a character string as calling legend
function \
col=NULL - The color of partial eigenvalues from each data set \
lty=1 - The line type used in the matplot, used when type =4 \
pch=NULL - the pch to draw 2D partial eigen plot, when type = 5
used \
lg.x="topright" - The position of legend \
lg.y=NULL - Poistion argument passed to function "legend" \
... - other arguemnts passed to functions \
\ if value = "tau", the same with eig, but in the eigenvalues are scaled to 1 \ if value = "obs", the observation space will be shown, the following argument could be set:\ axes=1:2 - Which axes should be draw\
type=1 - Which type, see below (for type=1: the center points draw; type=2: the separate factor scores linked by lines; ... will be passed to function "points")\
data.pch=20 - the pch of dataset, if type=1, the first one is used\
col=1 - the color of observations, recycled used by data.frame\
label=FALSE - A logical indicates if labels should be shown\
lg.x="topright" - Position of legend \
lg.y=NULL - Position of legend \
xlim=NULL - The x limit \
ylim=NULL - The y limit \
label.cex=1 - the cex of text \
... \ var - the separate gene view, layout can be specified \ RV - the heatmap of RV coefficients