Usage
## S3 method for class 'default':
simint(y, x=NULL, type=c("Dunnett", "Tukey",
"Sequen", "AVE", "Changepoint", "Williams", "Marcus",
"McDermott","Tetrade"), cmatrix=NULL, conf.level=0.95,
alternative=c("two.sided","less", "greater"),
asympt=FALSE, eps=0.001, maxpts=1e+06, nlevel=NULL,
nzerocol=c(0,0),...)
## S3 method for class 'formula':
simint(formula, data=list(), subset, na.action, whichf, ...)Arguments
y
a numeric vector of responses.
x
a numeric matrix, the design matrix.
type
the type of contrast to be used.
cmatrix
the contrast matrix itself can be specified. If
cmatrix is defined, type is ignored.
conf.level
confidence level.
alternative
the alternative hypothesis must be
one of "two.sided" (default), "greater" or
"less". You can specify just the initial letter.
asympt
a logical indicating whether the (exact) t-distribution or
the normal approximation should be used.
eps
absolute error tolerance as double.
maxpts
maximum number of function values as integer.
nlevel
a vector containing the number of levels for each factor for
type == "Tetrade".
nzerocol
a vector of two elements defining the number of
zero-columns to add to the contrast matrix from left (the first element,
usually 1 for the intercept) and right (usually 0 if no covariables are
specified). nzerocol is automatically determined
formula
a symbolic description of the model to be fit.
data
an optional data frame containing the variables in the model.
By default the variables are taken from
Environment(formula), typically the environment from which
simint is called.
subset
an optional vector specifying a subset of observations to be
used.
na.action
a function which indicates what should happen when the
data contain NA's. Defaults to
GetOption("na.action").
whichf
if more than one factor is given in the right hand side of
formula, whichf can be used to defined the factor to compute
contrasts of.
...
further arguments to be passed to or from methods.