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Student-T tolerance-style interval around an estimate of a mean from summary.
TIntervalS( sample_size, sample_mean, sample_var, ..., nNA = 0, conf.level = 0.95 )
numeric scalar integer, size of sample.
numeric scalar, mean of sample.
numeric scalar, variance of sample (Bessel-corrected).
extra arguments passed to TInterval.
number of NAs seen.
confidence level to draw interval
wrapped stat
TInterval, TIntervalS, TInterval.numeric, TInterval.data.frame
TInterval
TIntervalS
TInterval.numeric
TInterval.data.frame
# NOT RUN { set.seed(2018) d <- rnorm(100) + 3.2 TIntervalS(length(d), mean(d), stats::var(d)) # }
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