- x
a (non-empty) numeric vector of data values.
- y
a second (non-empty) numeric vector of data values.
- two.samp.diff
logical, defining if the confidence intervals for the difference (mad(x)-mad(y)) (default) or for the squared ratio ((mad(x)/mad(y))^2) should be calculated. Ignored if y is not given.
- gld.est
A character string, to select the estimation method for the generalized lambda distribution. One of: ML
for numerical Maximum Likelihood, MPS
or MSP
for Maximum Spacings Product, TM
for Titterington's Method (default), SM
for Starship Method, TL
for method of Trimmed L-moments, Lmom
for method of L-moments, DLA
for the method of Distributional Least Absolutes, or Mom
for method of Moments.
See fit.fkml()
.
- conf.level
confidence level of the interval.
- sides
a character string specifying the side of the confidence interval, must be one of "two.sided"
(default), "left"
or "right"
. You can specify just the initial letter. "left"
would be analogue to a hypothesis of "greater"
in a t.test
.
- na.rm
logical. Should missing values be removed? Defaults to FALSE
.
- ...
further arguments, not used here