plot.cma {analogue} | R Documentation |
Draws stripcharts of close modern analogue
results. stripchart
produces one dimensional scatter
plots (or dot plots) of the given data. These plots are a good
alternative to boxplot
's when sample sizes are small.
## S3 method for class 'cma': plot(x, method = c("overplot", "jitter", "stack"), jitter = 0.1, vertical = FALSE, draw.quant = TRUE, xlab = NULL, ylab = "", main = "", cex.axis = NULL, ..., col.quant = "red", lty.quant= "dashed")
x |
an object of class "cma" . |
method |
the method to be used to separate coincident points. The
default method"overplot" causes such points to be
overplotted, but it is also possible to specify "jitter" to
jitter the points, or "stack" have coincident points
stacked. The last method only makes sense for very granular data. |
jitter |
when method="jitter" is used, jitter gives
the amount of jittering applied. |
vertical |
when vertical is TRUE the plots are drawn
vertically rather than the default horizontal. |
draw.quant |
logical; should the quantiles be drawn on the stripchart? |
xlab,ylab,main |
Graphical parameters |
cex.axis |
The magnification to be used for axis annotation
relative to the current setting of cex . See
par . |
... |
additional arguments passed to stripchart |
col.quant,lty.quant |
colour and line type in which to drawn the quantile lines. |
Simple wrapper to stripchart
.
A plot is produced on the currently active device. Also invisibly returns a list with the following components:
distances |
a vector of stacked distances extracted from
object . |
groups |
a factor listing the fossil sample for which the distances are the distances to the close modern analogues for the training set. |
Gavin L. Simpson
stripchart
, or boxplot
for an
alternative representation.
## continue the RLGH and SWAP example from ?join example(join) ## analog matching between SWAP and RLGH core swap.analog <- analog(swapdiat, rlgh, method = "chord") swap.analog summary(swap.analog) ## close modern analogues swap.cma <- cma(swap.analog) ## plot the results ## many samples so reduce the label and point size plot(swap.cma, cex.axis = 0.6, cex = 0.6)