ciSignif: Create Confidence Intervals and Significance Values for a...
In regr: Building Regression Models

Description Usage Arguments Details Value Author(s) Examples

Calculates confidence intervals and significance values for the coefficients of a fitted model to be used in a termtable as produced by regr.

1	ciSignif(estimate, se = NULL, df = Inf, testlevel = 0.05)

`estimate`	vector of coefficients or matrix containing coefficients and their standard errors. The latter is needed if `se` is not given.
`se`	vector of standard errors of the coefficients
`df`	degrees of freedom of the residuals
`testlevel`	test level

The coefficients divided by standard errors are assumed to be t-distributed with df degrees of freedom. For df==Inf, this is the standard normal distribution.

A data.frame with the variables

`estimate, se`	coefficients and standard errors
`ciLow, ciUp`	lower and upper limit of the confidence interval
`teststatistic`	t-test statistic
`signif`	significance value, i.e., test statistic divided by critical value, which in turn is the `1-testlevel/2`-quantile of the t-distribution.
`p.value`	p value
`p.symbol`	the conventional symbol corresponding to the p value

Werner A. Stahel

data(d.blast, package="plgraphics")
rr <-
  lm(logst(tremor)~location+log10(distance)+log10(charge), data=d.blast) 
ciSignif(rr) 
ciSignif(summary(rr)$coef)