R: Example data

package-data {metap} | R Documentation

## Example data

### Description

The package contains the following datasets: `beckerp`, `cholest`, `edgington`, `mourning`, `naep`, `rosenthal`, `teachexpect`, and `validity`.

### Usage

    data(beckerp)
    data(cholest)
    data(edgington)
    data(mourning)
    data(naep)
    data(rosenthal)
    data(teachexpect)
    data(validity)

### Format

`beckerp`

  A vector of length 5

`cholest`

  A vector of length 34

`edgington`

  A vector of length 7

`naep`

  A data frame with 34 observations on the following 2 variables.

  `state`

    a factor with levels `AL` `AR` `AZ` `CA` `CO` `CT` `DE` `FL` `GA` `HI` `IA` `ID` `IN` `KY` `LA` `MD` `MI` `MN` `NC` `ND` `NE` `NH` `NJ` `NM` `NY` `OH` `OK` `PA` `RI` `TX` `VA` `WI` `WV` `WY`

  `p`

    a numeric vector

`mourning`

  A data frame with 9 observations on the following 3 variables.

  `stance`

    a factor with levels `No stand` `Opponent` `Supporter`

  `grade`

    a factor with levels `G11-12` `G7-8` `G9-10`

  `p`

    a numeric vector

`rosenthal`

  A data frame with 5 observations on the following 3 variables.

  `t`

    A numeric vector of values of t

  `df`

    a numeric vector of degrees of freedom

  `p`

    a numeric vector of one sided p values

`teachexpect`

  A vector of length 19

`validity`

  A vector of length 20

### Details

`beckerp`

  Hypothetical p values from Becker

`cholest`

  p-values from studies of cholesterol lowering from Sutton

`edgington`

  Hypothetical p values from Edgington

`mourning`

  Results from a study of mourning practices of Israeli youth from Benjamini

`naep`

  Results on the National Assessment of Educational Progress from Benjamini

`rosenthal`

  Hypothetical example from Rosenthal

`teachexpect`

  p-values from studies of the effect of manipulating teacher expectancy from Becker

`validity`

  p-values from studies of validity of student ratings from Becker

### References

Becker, B J. Combining significance levels. In Cooper, H and Hedges, L V, editors A handbook of research synthesis, chapter 15, pages 215–230. Russell Sage, New York, 1994.

Benjamini, Y and Hochberg, Y. On the adaptive control of the false disovery rate in multiple testing with independent statistics. Journal of Educational and Behavioral Statistics, 25: 60–83, 2000.

Edgington, E S. An additive method for combining probability values from independent experiments. Journal of Psychology, 80:351-363, 1972.

Rosenthal, R. Combining the results of independent studies. Psychological Bulletin, 85:185–193, 1978.

Sutton A J, Abrams, K R, Jones D R, Sheldon T A and Song, F. Methods for meta-analysis in medical research. Wiley, Chichester, 2000.

[Package metap version 0.8 Index]