sbpval {scaleboot} | R Documentation |
sbpval
extracts p-values from "summary.scaleboot"
or
"summary.scalebootv"
objects.
sbpval(x, ...) ## S3 method for class 'summary.scaleboot': sbpval(x,sd=FALSE,select=c("average","best","all"),...) ## S3 method for class 'summary.scalebootv': sbpval(x,...)
x |
an object used to select a method. |
sd |
logical. Should standard errors be returned as well? |
select |
character. If "average" or "best", only the p-values of corresponding models are returned. If "all", then p-values of all the models are returned. |
... |
further arguments passed to or from other methods. |
This method is used only to extract previously calculated p-values from the summary object.
The sbpval
method for the class "summary.scaleboot"
returns a
matrix of p-values. Each row is a vector of
p_k for k as specified in the summary
method.
If sd=TRUE
, then it returns a list with two components:
estimate
for the p-values and sd
for its standard errors.
The sbpval
method for the class "summary.scalebootv"
returns a
list vector with each component obtained by applying sbpval
to
each "scaleboot"
object.
Hidetoshi Shimodaira
data(mam15) a <- mam15.relltest[["t4"]] # an object of class "scaleboot" b <- summary(a) # calculate p-values b # print the p-values sbpval(b) # extract a vector of p-values which are averaged by Akaike weights. sbpval(b,sd=TRUE) # with sd sbpval(b,select="all") # extract a matrix of p-values sbpval(b,select="all",sd=TRUE) # with sd