Extract confidence intervals, test statistics or p-values from an
htest object.
# S3 method for htest
confint(object, parm, level, ...)
pval(x, ...)
# S3 method for htest
pval(x, digits = 4, verbose = FALSE, ...)
stat(x, ...)
# S3 method for htest
stat(x, ...)
# S3 method for uneval
stat(x, ...)a fitted model object or an htest object.
a specification of which parameters are to be given confidence intervals, either a vector of numbers or a vector of names. If missing, all parameters are considered.
the confidence level required.
Additional arguments.
An object of class htest.
number of digits to display in verbose output
a logical
the extracted p-value, confidence interval, or test statistic
confint(t.test(rnorm(100)))
#> mean of x lower upper level
#> 1 -0.006451192 -0.2071248 0.1942224 0.95
pval(t.test(rnorm(100)))
#> p.value
#> 0.3227409
stat(t.test(rnorm(100)))
#> t
#> 1.539478
confint(var.test(rnorm(10,sd=1), rnorm(20, sd=2)))
#> ratio of variances lower upper level
#> 1 0.3064514 0.1064048 1.128764 0.95
pval(var.test(rnorm(10,sd=1), rnorm(20, sd=2)))
#> p.value
#> 0.1359995
if (require(mosaicData)) {
data(HELPrct)
stat(t.test (age ~ shuffle(sex), data=HELPrct))
# Compare to test statistic computed with permuted values of sex.
do(10) * stat(t.test (age ~ shuffle(sex), data=HELPrct))
}
#> Using parallel package.
#> * Set seed with set.rseed().
#> * Disable this message with options(`mosaic:parallelMessage` = FALSE)
#> t
#> 1 -0.9483430
#> 2 0.8458801
#> 3 -1.0342058
#> 4 0.1853414
#> 5 -0.2320483
#> 6 -0.2097493
#> 7 0.4114783
#> 8 2.2663608
#> 9 0.6008257
#> 10 -1.3415732