plot.mc {mc2d} | R Documentation |
Plots the empirical cumulative distribution function of a mcnode or a mc object ("0" and "V" nodes) or the empirical cumulative distribution function of the estimate of a mcnode or mc object ("U" and "VU" nodes).
## S3 method for class 'mc': plot(x, prec=0.01, stat=c("median", "mean"), lim=c(0.025, 0.975), na.rm=TRUE, griddim=NULL, xlab=NULL, ylab="Fn(x)", main="", draw=TRUE, ...) ## S3 method for class 'mcnode': plot(x, ...) ## S3 method for class 'plotmc': plot(x, ...) ## S3 method for class 'mccut': plot(x, stat=c("median", "mean"), lim=c(0.025, 0.975), griddim=NULL, xlab=names(x), ylab="Fn(x)", main="", draw=TRUE, ...)
x |
a mcnode or a mc objects |
prec |
the precision of the plot. 0.01 will provide an ecdf from the 0.00, 0.01, .02, ..., 1.00 quantiles, 0.001 will provide a 0.000, 0.001, 0.002, ..., 1.000 quantiles,... |
stat |
the function used for estimates (2D mc or mcnode). By default the median. |
lim |
a vector of numbers (between 0 and 1) indicating the enveloppe (2D mc or mcnode) . Maybe NULL or empty. |
na.rm |
Should NA values be discarded |
griddim |
a vector of two integers, indicating the size of the grid of the graph. If NULL, the grid is calculated to produce a "nice" graph. |
xlab |
vector of labels for the x-axis. If NULL, use the name of the node. |
ylab |
vector of labels for the y-axis. |
main |
vector of main titles of the graph. |
draw |
Should the plot be drawn? |
... |
further arguments to be passed to plot.ecdf. |
plot.mcnode is a user-friendly function that send the mcnode to plot.mc.
For "VU" and "U" mcnodes, quantiles are
calculated using quantile.mc
within each of the
nsu simulations (i.e. by columns of each mcnode). The
medians (but may be the means using stat="mean") calculated
from the nsu values are plotted. The 0.025 and 0.975 quantiles
(default values of lim) of these quantiles are used as the
enveloppe.
A plot.mc object, list of the quantiles used to plot the draw.
Regis Pouillot
Cullen AC and Frey HC (1999) Probabilistic techniques in exposure assessment. Plenum Press, USA, pp. 81-155.
data(total) plot(xVUM3) plot(total)