termtable {relevance} | R Documentation |
Calculate a table of statistics for (multiple) regression
mdels with a linear predictor and respective print
method
termtable(object, summary = NULL, testtype = NULL, r2x = TRUE, rlv = TRUE, rlvthres = NULL, testlevel = NULL) ## S3 method for class 'termtable' print(x, columns = NULL, printstyle = NULL, legend = NULL, digits = NULL, na.print = " ", ...)
object |
result of a model fitting function like |
summary |
result of |
testtype |
type of test to be applied for dropping each term in
turn. If |
r2x |
logical: should the collinearity measures " |
rlv |
logical: Should relevances be calculated? |
rlvthres |
Relevance threshold. May be a vector with the components
|
testlevel |
1 - confidence level |
For print.termtable
x |
termtable to be printed |
columns |
columns to be printed |
printstyle |
determines which columns are selected if
|
legend |
logical: should the legend(s) for the symbols characterizing p-values and relevances be printed? |
digits |
number of significant digits to be printed |
na.print |
string by which |
... |
further arguments, passed to |
If testtype
is not specified, it is determined by the class of
object
and its attribute family
as follows:
...
data.frame with the following columns:
coef |
coefficients for terms with a single degree of freedom |
df |
degrees of freedom |
se |
standard error of |
ciLow, ciUp |
confidence interval for |
signif0 |
significance value for |
stcoef |
standardized coefficient (standardized using
|
stciLow, stciUp |
confidence interval for |
testst |
test statistic |
p.value, p.symbol |
p value and symbol for it |
R2.x |
collinearity measure (= 1 - 1 / vif, wheere vif is the variance inflation factor) |
coefRle |
estimated relevance of |
coefRls |
secured relevance, lower end of confidence interval
for |
coefRlp |
potential relevance, upper end of confidence interval
for |
dropRle, dropRls, dropRlp |
analogous values for drop effect |
predRle, predRls, predRlp |
analogous values for prediction effect |
coefRls.symbol, dropRls.symbol, predRls.symbol |
symbols for the secured relevances |
Attributes:
testtype, fitclass, family, dist as determined by the
argument testtype
and the class and attributes of
object
Werner A. Stahel
Werner A. Stahel (2020). Measuring Significance and Relevance instead of p-values. Submitted
summary(object)$coefficients
data(swiss) rr <- lm(Fertility ~ . , data = swiss) rt <- termtable(rr) rt names(rt) data.frame(rt)