predict.cenfit {NADA} | R Documentation |
Functions that perform query and/or prediction with empirical
cumulative distribution function objects (ECDF). ECDF objects are
constructed using cenfit
.
mean
returns the modeled mean of an ECDF.
median
returns the modeled median of an ECDF.
sd
returns the modeled standard deviation of an ECDF.
quantile
produces sample quantiles corresponding to the given
probabilities using an ECDF. The smallest observation corresponds
to a probability of 0 and the largest to a probability of 1.
predict
Predicted values based on an ECDF.
## S3 method for class 'cenfit': mean(x, ...) ## S3 method for class 'cenfit': median(x, na.rm=FALSE) ## S3 method for class 'cenfit': sd(x, na.rm=FALSE) ## S3 method for class 'cenfit': quantile(x, probs=c(0.05, 0.10, 0.25, 0.50, 0.75, 0.90, 0.95), do.conf=FALSE, ...) ## S3 method for class 'cenfit': predict(object, newdata, do.conf=FALSE, ...)
x, object |
A ECDF object constructed using cenfit
|
na.rm |
logical. Should missing values be removed? |
probs |
Numeric vector with values in [0,1] – the quantiles to predict. |
newdata |
Numeric vector of normalized quantiles of plotting positions. |
do.conf |
A logical indicating if confidence intervals should be computed. |
... |
Additional arguments passed to the generic method. |
Note that computed confidence intervals are set using cenfit
.
Thus, the confidence intervals returned in functions with the
do.conf
option are fixed at the value originally passed to
cenfit
.
All functions return a numeric vector of results by default.
Functions with do.conf
option will return a data frame if
this option is true.
Some of these fuctions mask the original functions in the base
package. For the documentation on the original functions use:
help("foo", package="base")
Lopaka(Rob) Lee <rclee@usgs.gov>
Dennis R. Helsel (2005). Nondectects and Data Analysis; Statistics for censored environmental data. John Wiley and Sons, USA, NJ.
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
obs = c(0.5, 0.5, 1.0, 1.5, 5.0, 10, 100) censored = c(TRUE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE) mycenfit = cenfit(Cen(obs, censored)) mean(mycenfit) median(mycenfit) sd(mycenfit) quantile(mycenfit, probs=c(0.90, 0.95)) predict(mycenfit, 1.5, do.conf=TRUE)