Description Usage Arguments Details Value See Also Examples
Compute or plot the cumulative distribution function for objects of
class "expert"
.
1 2 3 4 5 6 7 8 9 10 11 
x 
an object of class 
digits 
number of significant digits to use, see

Fn 
an R object inheriting from 
... 
arguments to be passed to subsequent methods, e.g.

ylab 
label for the y axis. 
verticals 
see 
col.01line 
numeric or character specifying the color of the
horizontal lines at y = 0 and 1, see 
The function builds the expert aggregated cumulative distribution
function corresponding to the results of expert
.
The function plot.cdf
which implements the plot
method for cdf
objects, is implemented via a call to
plot.stepfun
; see its documentation.
For cdf
, a function of class "cdf"
, inheriting from the
"function"
class.
expert
to create objects of class "expert"
;
ogive
for the linear interpolation;
ecdf
and stepfun
for related
documentation.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19  x < list(E1 < list(A1 < c(0.14, 0.22, 0.28),
A2 < c(130000, 150000, 200000),
X < c(350000, 400000, 525000)),
E2 < list(A1 < c(0.2, 0.3, 0.4),
A2 < c(165000, 205000, 250000),
X < c(550000, 600000, 650000)),
E3 < list(A1 < c(0.2, 0.4, 0.52),
A2 < c(200000, 400000, 500000),
X < c(625000, 700000, 800000)))
probs < c(0.1, 0.5, 0.9)
true.seed < c(0.27, 210000)
fit < expert(x, "cooke", probs, true.seed, 0.03)
Fn < cdf(fit)
Fn
knots(Fn) # the group boundaries
Fn(knots(Fn)) # true values of the cdf
plot(Fn) # graphic

Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.