print.inference {relevance} | R Documentation |
Print Tables with Inference Measures
Description
Print methods for objects of class
"inference"
, "termtable"
, "termeffects"
,
or "printInference"
.
Usage
## S3 method for class 'inference'
print(x, show = getOption("show.inference"), print=TRUE,
digits = getOption("digits.reduced"), transpose.ok = TRUE,
legend = NULL, na.print = getOption("na.print"), ...)
## S3 method for class 'termtable'
print(x, show = getOption("show.inference"), ...)
## S3 method for class 'termeffects'
print(x, show = getOption("show.inference"),
transpose.ok = TRUE, single = FALSE, print = TRUE, warn = TRUE, ...)
## S3 method for class 'printInference'
print(x, ...)
Arguments
x |
object to be printed |
show |
determines items (columns) to be shown |
digits |
number of significant digits to be printed |
transpose.ok |
logical: May a single column be shown as a row? |
single |
logical: Should components with a single coefficient be printed? |
legend |
logical: should the legend(s) for the symbols
characterizing p-values and relevances be printed?
Defaults to |
na.print |
string by which |
print |
logical: if |
warn |
logical: Should the warning be issued if
|
... |
further arguments, passed to |
Details
The value, if assigned to rr
, say, can be printed by using
print.printInference
, writing print(rr)
, which is just
what happens internally unless print=FALSE
is used.
This allows for editing the result before printing it, see Examples.
printInference
objects can be a vector, a data.frame or a
matrix, or a list of such items.
Each item can have an attribute head
of mode character that is
printed by cat
before the item, and analogous with a
tail
attribute.
Value
A kind of formatted version of x
, with class
printInference
.
For print.inference
, it will be
a character vector or a data.frame with attributes
head
and tail
if applicable.
For print.termeffects
, it will be a list of such elements,
with its own head
and tail
.
It is invisibly returned.
Author(s)
Werner A. Stahel
See Also
twosamples
, termtable
,
termeffects
, inference
.
Examples
data(d.blast)
r.blast <-
lm(log10(tremor)~location+log10(distance)+log10(charge), data=d.blast)
rt <- termtable(r.blast)
## print() : first default, then "classical" :
rt
print(rt, show="classical")
class(te <- termeffects(r.blast)) # "termeffects"
rr <- print(te, print=FALSE)
attr(rr, "head") <- sub("lm", "Linear Regression", attr(rr, "head"))
class(rr) # "printInference"
rr # <==> print(rr)
str(rr)