cdf.plot()
of
cdfPlot(obj, ind, units.cdf = "percent", type.plot = "s",
type.cdf = "continuous", logx = "", xlbl = NULL, ylbl = "Percent",
ylbl.r = NULL, figlab = NULL, legloc = "BR", confcut = 5,
show.conflev = TRUE, conflev = 95, show.param = TRUE, round = 0,
col.param = "black", ...)
cont.analysis()
of cont.analysis()
.units
type.plot = "l"
, for type.plot =
"s"
for type.plot =
"s"
.type.cdf = "continuous"
.""
or "x"
that controls whether the x axis uses the original scale (""
) or the
base 10 logarithmic scale ("x"
). Defaults to logx = ""
.NULL
, then the indicator name is used as the label. Defaults
to xlbl = NULL
.ylbl = "Percent"
.ylbl.r = NULL
means a label is not created, and
ylbl.r = "Same"
means the label is the same as the left side label
(i.e., argument ylbl
). Defaultsfiglab = NULL
.legloc
= "BR"
means bottom right, legloc = "BL"
means bottom left,
legloc = "TR"
means top right, and legloc = "TL"
means top
left. Defaults to legl
confcut
or greater than 100 minus confcut
are not plotted. A
value of zero means confidence lshow.conflev = TRUE
.conflev = 95
.conflev
. The legend displays de actual values of all three
parameters, including the standard deviation ofcol.param = "black"
.plot()
. See
type.plot
is used only when type.cdf = "Continuous"
.Care should be taken with possible conflicts between the arguments of the
original function cdf.plot
and those passed to
plot()
using ...
. The existence of conflicts between these two
functions was one of the reasons for creating this new implementation.
Diaz-Ramos, S., D.L. Stevens, Jr., and A.R. Olsen. (1996). EMAP Statistical Methods Manual. EPA/620/R-96/XXX. Corvallis, OR: U.S. Environmental Protection Agency, Office of Research and Development, National Health Effects and Environmental Research Laboratory, Western Ecology Division.
Kincaid, T. M. and Olsen, A. R. (2013) spsurvey: Spatial Survey Design
and Analysis. R package version 2.6. URL:
cdf.plot
.## Estimate the CDF
my.cdf <- cont.analysis(spsurvey.obj = my.spsurvey)
## See indicator levels in the resulting object
levels(my.cdf$Pct$Indicator)
## Plot CDF
cdfPlot(obj = my.cdf, ind = "dz", figlab = "",
xlbl = "Difference (m)", xlim = c(-30, 10), type.plot = "s")
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