get.ncpCI: get.ncpCI

Description Usage Arguments

View source: R/manylabRs_SOURCE.R

Description

get.ncpCI

get.ncpCI

get.ncpCI

Usage

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get.ncpCI(x, df1, df2, N, esType, CL = 0.95, keepSign = TRUE,
  keepDirection = TRUE, alternative = "two.sided")

get.ncpCI(x, df1, df2, N, esType, CL = 0.95, keepSign = TRUE,
  keepDirection = TRUE, alternative = "two.sided")

get.ncpCI(x, df1, df2, N, esType, CL = 0.95, keepSign = TRUE,
  keepDirection = TRUE, alternative = "two.sided")

Arguments

x

A noncentrality parameter.

df1

Degrees of freeddom.

df2

NULL or degrees of freedom of the denominator for the f-distribution.

N

Sample size

esType

Type of test statistic. One of: "t", "t.r", lm.t", "f", "lm.f", "r", "X2", "Z", "lm.Z"

CL

Confidence Limit (default: .95).

keepSign

Return effect size with sign of test statistic? (default = TRUE).

keepDirection

Use the information in alternative to decide on one-sided vs. two-sided confidence intervals. Default is TRUE. If FALSE, two-sided CIs will be calclulated irrespective of the direction of the alternative.

alternative

Alternative hypothesis (defult = "two").

x

A noncentrality parameter.

df1

Degrees of freeddom.

df2

NULL or degrees of freedom of the denominator for the f-distribution.

N

Sample size

esType

Type of test statistic. One of: "t", "t.r", lm.t", "f", "lm.f", "r", "X2", "Z", "lm.Z"

CL

Confidence Limit (default: .95).

keepSign

Return effect size with sign of test statistic? (default = TRUE).

keepDirection

Use the information in alternative to decide on one-sided vs. two-sided confidence intervals. Default is TRUE. If FALSE, two-sided CIs will be calclulated irrespective of the direction of the alternative.

alternative

Alternative hypothesis (defult = "two").

x

A noncentrality parameter.

df1

Degrees of freeddom.

df2

NULL or degrees of freedom of the denominator for the f-distribution.

N

Sample size

esType

Type of test statistic. One of: "t", "t.r", lm.t", "f", "lm.f", "r", "X2", "Z", "lm.Z"

CL

Confidence Limit (default: .95).

keepSign

Return effect size with sign of test statistic? (default = TRUE).

keepDirection

Use the information in alternative to decide on one-sided vs. two-sided confidence intervals. Default is TRUE. If FALSE, two-sided CIs will be calclulated irrespective of the direction of the alternative.

alternative

Alternative hypothesis (defult = "two").


ManyLabsOpenScience/manylabRs documentation built on Oct. 15, 2018, 7:59 a.m.