summary.ros {NADA} | R Documentation |
Generic implementations of summary and plotting functions for ROS models.
summary.ros
provides the standard summary of the linear model.
Has the option of producing the standard linear-model quality plots.
plot.ros
constructs a probability plot representation of
the ROS model.
abline.ros
adds a line representing the linear regression model
to an existing ROS prob-plot – For comparing two or more ROS models.
## S3 method for class 'ros': summary(object, plot=FALSE, ...) ## S3 method for class 'ros': plot(x, plot.censored=FALSE, lm.line=TRUE, grid=TRUE, ylab="Value", pch=16, ...) ## S3 method for class 'ros': abline(a, ...)
object |
A ROS model constructed using ros
|
plot |
Logical indicating whether the standard lm quality plots
should be drawn.
|
x |
A ROS model constructed using ros
|
plot.censored |
A logical indicating if the modeled censored values should be plotted. |
lm.line |
A logical indicating if the a line (abline) representing the linear regression model should be drawn on the plot. |
grid |
A logical indicating if dotted lines are to be drawn at major axis division. |
ylab |
A character string for the y-axis lable. |
pch |
The numerical code of the plotting symbols for the uncensored data.
See par
|
... |
Additional arguments passed to the generic method. |
a |
A ROS model constructed using ros
|
Lopaka(Rob) Lee <rclee@usgs.gov>
Lee and Helsel (in press) Statistical analysis of environmental data containing multiple detection limits: S-language software for regression on order statistics, Computers in Geoscience vol. X, pp. X-X
Lee and Helsel (in press) Baseline models of trace elements in major aquifers of the United States. Applied Geochemistry vol. X, pp. X-X.
Dennis R. Helsel (2004), Nondetects And Data Analasis: John Wiley and Sons, New York.
Dennis R. Helsel (1990), Less Than Obvious: Statistical Methods for, Environmental Science and Technology, vol.24, no. 12, pp. 1767-1774
Dennis R. Helsel and Timothy A. Cohn (1988), Estimation of descriptive statistics for multiply censored water quality data, Water Resources Research vol. 24, no. 12, pp.1997-2004
ros
,
predict.ros
,
quantile.ros
,
sd.ros
,
mean.ros
,
median.ros
obs = c(0.5, 0.5, 1.0, 1.5, 5.0, 10, 100) censored = c(TRUE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE) myros = ros(obs, censored) summary(myros, plot=TRUE) # Cycles through standard lm() plots plot(myros, plot.cen=TRUE) # Forms a prob-plot of the ROS model obs2 = c(0.5, 1.0, 1.5, 1.5, 10, 100, 200) censored2 = c(TRUE, FALSE, TRUE, FALSE, FALSE, FALSE, FALSE) abline(ros(obs2, censored2)) # Draws this regression line on existing plot