ci2crit: Confidence Intervals to Critical Values

In jeksterslabds/jeksterslabRboot: Jekster's Lab Linear Bootstrap Utilities

Description

Calculates the z, t, χ^2, or F critical value/s of confidence limits associated with the specified confidence interval/s.

Usage

ci2crit(
  ci = c(0.999, 0.99, 0.95),
  dist = "z",
  two.tailed = TRUE,
  right.tail = TRUE,
  ...
)

Arguments

ci	Numeric vector. Confidence interval. By default, ci is set to conventional confidence intervals ci = c(0.999, 0.99, 0.95).
dist	Character string. dist = "z" for the standard normal distribution. dist = "t" for the t distribution. dist = "F" for the F distribution. dist = "chisq" for the chi-square distribution.
two.tailed	Logical. If TRUE, two-tailed alpha. If FALSE, one-tailed alpha. Ignored if dist = "F" or dist = "chisq" as both tests are one-tailed using the right tail.
right.tail	Logical. If TRUE, right tail (positive critical value). If FALSE, left tail (negative critical value). Ignored if two.tailed = TRUE. Ignored if dist = "F" or dist = "chisq" as both tests are one-tailed using the right tail.
...	Degrees of freedom. df for dist = "t" and dist = "chisq". df1 and df2 for dist = "F".

Value

Returns z, t, χ^2, or F critical value/s associated with the specified confidence interval/s. The results are sorted from smallest to largest.

Author(s)

Ivan Jacob Agaloos Pesigan

References

Wikipedia: Statistical significance

Wikipedia: Confidence interval

See Also

Other alpha functions: alpha2crit(), alpha2prob(), ci2prob(), nhstplot()

Examples

# z two-tailed
## vector
ci2crit(
  ci = c(
    0.999,
    0.99,
    0.95
  ),
)
## single numeric value
ci2crit(ci = 0.95)
# t two-tailed
## vector
ci2crit(
  ci = c(
    0.999,
    0.99,
    0.95
  ),
  dist = "t",
  df = 1000
)
## single numeric value
ci2crit(
  ci = 0.95,
  dist = "t",
  df = 1000
)
# z one-tailed right
## vector
ci2crit(
  ci = c(
    0.999,
    0.99,
    0.95
  ),
  dist = "z",
  two.tailed = FALSE
)
# t one-tailed right
## vector
ci2crit(
  ci = c(
    0.999,
    0.99,
    0.95
  ),
  dist = "t",
  two.tailed = FALSE,
  df = 5
)
# F one-tailed
## vector
ci2crit(
  ci = c(
    0.999,
    0.99,
    0.95
  ),
  dist = "F",
  two.tailed = FALSE,
  df1 = 2,
  df2 = 2
)
# chisq one-tailed
## vector
ci2crit(
  ci = c(
    0.999,
    0.99,
    0.95
  ),
  dist = "chisq",
  two.tailed = FALSE,
  df = 1
)
# z one-tailed left
## vector
ci2crit(
  ci = c(
    0.999,
    0.99,
    0.95
  ),
  dist = "z",
  two.tailed = FALSE,
  right.tail = FALSE
)
# t one-tailed left
## vector
ci2crit(
  ci = c(
    0.999,
    0.99,
    0.95
  ),
  dist = "t",
  two.tailed = FALSE,
  right.tail = FALSE,
  df = 5
)

jeksterslabds/jeksterslabRboot documentation built on July 20, 2020, 12:56 p.m.