tpvalint: Hypothesis testing using the Student t Distribution with H0:...

In brt: Biological Relevance Testing

Description

Hypothesis testing using the Student t Distribution with H0: lo <= mu <= hi

Usage

tpvalint(coefficients, hi, lo = -hi, se, df, log = FALSE)

Arguments

coefficients	a vector
hi	upper bound
lo	lower bound
se	standard error
df	degrees of freedom
log	the probability is in log-scale

Examples

x=seq(from=-30, to=30, length.out=100)

data=do.call(
  rbind
  , lapply(
    seq_len(10)
    , function(cutoff)
      rbind(
        data.frame(x, pval=tpvalint(x, lo=-cutoff, hi=cutoff, se=1, df=3), cutoff=cutoff)
        )
    )
  )

ggplot2::qplot(x, pval, data=data, color=as.factor(cutoff), linetype=as.factor(cutoff), geom='line')

Example output

brt documentation built on May 2, 2019, 10:22 a.m.