any2any: any2any

Description Usage Arguments Details Value Note Author(s)

View source: R/manylabRs_SOURCE.R

Description

Converts most common test statistics into most common (signed) effect sizes.

Converts most common test statistics into most common (signed) effect sizes.

Converts most common test statistics into most common (signed) effect sizes.

Usage

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any2any(testInfo, df1 = NULL, df2 = NULL, N = NULL, n1 = NULL,
  n2 = NULL, esType = NA, var.lor = NA, CIcalc = TRUE, CL = 0.95,
  rID = 0, q = 1, alternative = "two", keepDirection = TRUE,
  keepSign = TRUE, keepSignNames = c("r", "l.r", "u.r", "fisher.z", "l.z",
  "u.z"))

any2any(testInfo, df1 = NULL, df2 = NULL, N = NULL, n1 = NULL,
  n2 = NULL, esType = NA, var.lor = NA, CIcalc = TRUE, CL = 0.95,
  rID = 0, q = 1, alternative = "two", keepDirection = TRUE,
  keepSign = TRUE, keepSignNames = c("r", "l.r", "u.r", "fisher.z", "l.z",
  "u.z"))

any2any(testInfo, df1 = NULL, df2 = NULL, N = NULL, n1 = NULL,
  n2 = NULL, esType = NA, var.lor = NA, CIcalc = TRUE, CL = 0.95,
  rID = 0, q = 1, alternative = "two", keepDirection = TRUE,
  keepSign = TRUE, keepSignNames = c("r", "l.r", "u.r", "fisher.z", "l.z",
  "u.z"))

Arguments

df1

Degrees of freedom

df2

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

N

Number of data points used in calculation of test-statistic.

n1

Number of data points in sample 1.

n2

Number of data points in sample 2.

esType

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

CIcalc

If TRUE (default) the Confidence Interval for the test statistic in x will be calculated using the "Confidence limits for noncentral parameters" functions in package (e.g., for type - "t": conf.limits.nct).

CL

Confidence Limit (default: .95).

rID

Correlation among predictor values in a linear model.

q

Number of predictors in the model.

alternative

Alternative hypothesis (defult = "two").

keepSign

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

keepSignNames

Which effect sizes should keep the sign if keepSign = TRUE? Default is to keep the sign for: "r","l.r","u.r","fisher.z","l.z","u.z".

st

Value(s) of a test statistic.

st

Value(s) of a test statistic.

df1

Degrees of freedom

df2

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

N

Number of data points used in calculation of test-statistic.

n1

Number of data points in sample 1.

n2

Number of data points in sample 2.

esType

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

CIcalc

If TRUE (default) the Confidence Interval for the test statistic in x will be calculated using the "Confidence limits for noncentral parameters" functions in package (e.g., for type - "t": conf.limits.nct).

CL

Confidence Limit (default: .95).

rID

Correlation among predictor values in a linear model.

q

Number of predictors in the model.

alternative

Alternative hypothesis (defult = "two").

keepSign

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

keepSignNames

Which effect sizes should keep the sign if keepSign = TRUE? Default is to keep the sign for: "r","l.r","u.r","fisher.z","l.z","u.z".

st

Value(s) of a test statistic.

df1

Degrees of freedom

df2

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

N

Number of data points used in calculation of test-statistic.

n1

Number of data points in sample 1.

n2

Number of data points in sample 2.

esType

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

CIcalc

If TRUE (default) the Confidence Interval for the test statistic in x will be calculated using the "Confidence limits for noncentral parameters" functions in package (e.g., for type - "t": conf.limits.nct).

CL

Confidence Limit (default: .95).

rID

Correlation among predictor values in a linear model.

q

Number of predictors in the model.

alternative

Alternative hypothesis (defult = "two").

keepSign

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

keepSignNames

Which effect sizes should keep the sign if keepSign = TRUE? Default is to keep the sign for: "r","l.r","u.r","fisher.z","l.z","u.z".

Details

The procedure to calculate a variety of effect sizes is as follows:

The procedure to calculate a variety of effect sizes is as follows:

The procedure to calculate a variety of effect sizes is as follows:

Value

The effect sizes calculated by compute.es corresponding to the test statistic(s), with either meta-analytic, or, exact CI.

The effect sizes calculated by compute.es corresponding to the test statistic(s), with either meta-analytic, or, exact CI.

The effect sizes calculated by compute.es corresponding to the test statistic(s), with either meta-analytic, or, exact CI.

Note

The prefix "lm" is currently disregarded, but will be implemented in future versions to indicate the test statistic is in fact a fixed factor in a linear model.

The prefix "lm" is currently disregarded, but will be implemented in future versions to indicate the test statistic is in fact a fixed factor in a linear model.

The prefix "lm" is currently disregarded, but will be implemented in future versions to indicate the test statistic is in fact a fixed factor in a linear model.

Author(s)

Fred Hasselman (inspired by RP:P function any2r by CHJ Hartgerink)

Fred Hasselman (inspired by RP:P function any2r by CHJ Hartgerink)

Fred Hasselman (inspired by RP:P function any2r by CHJ Hartgerink)


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