dat.metap: Example Data for the Meta-Analysis of Significance Values
In metadat: Meta-Analysis Datasets
dat.metap R Documentation
Example Data for the Meta-Analysis of Significance Values
Description
A collection of datasets for illustrating the meta-analysis of significance values (i.e., methods for combining p-values from tests of significance).
Usage
dat.metap
Format
A list with the following elements:
beckerpA numeric vector with 5 hypothetical p-values
cholestA data frame with 34 observations on the following 5 variables:
ntreat numeric number of patients in the treated group
ncontrol numeric number of patients in the control group
dtreat numeric number of deaths in the treated group
dcontrol numeric number of deaths in the control group
p numeric one-sided p-values
edgingtonA vector of with 7 hypothetical p-values
mourningA data frame with 9 observations on the following 3 variables:
stance character character variable with levels No stand, Opponent, Supporter
grade character character variable with levels G11-12, G7-8, G9-10
p numeric p-values
naepA data frame with 34 observations on the following 2 variables:
state character character variable with two-letter US state names
p numeric p-values
rosenthalA data frame with 5 observations on the following 3 variables:
t numeric t-statistics
df numeric degrees of freedom
p numeric one-sided p-values
teachexpectA vector of 19 p-values
validity-
A data frame with 20 observations on the following 3 variables:
n numeric sample sizes
r numeric correlation coefficients
p numeric one-sided p-values
zhangA data frame with 22 observations on the following 11 variables:
study character study names
smd numeric standardized mean differences
lo numeric lower confidence interval limits
hi numeric upper confidence interval limits
ntreat numeric treated group sample sizes
ncont numeric control group sample sizes
n numeric total sample sizes
phase factor phase the patients were in: acute, healing, healed
sd numeric the calculated standard deviations
z numeric the calculated z-values
p numeric one-sided p-values
Details
beckerpHypothetical p-values from Becker (1994).
cholestTrials of interventions for cholesterol lowering from Sutton et al. (2000).
edgingtonHypothetical p-values from Edgington (1972).
mourningResults from a study of mourning practices of Israeli youth following the assassination of Itzakh Rabin from Benjamini and Hochberg (2000).
naepResults of mathematical achievement scores from the National Assessment of Educational Progress from Benjamini and Hochberg (2000).
rosenthalHypothetical example from Rosenthal (1978).
teachexpectp-values from studies of the effect of manipulating teacher expectancy on student IQ from Becker (1994).
validityData from studies of validity of student ratings of their instructors from Becker (1994) including correlations and sample sizes as well as p-values.
zhangData from trials of exercise training for patients with cardiovascular disease from Zhang et al. (2016).
Concepts
combining p-values
Note
The p-values in cholest have been re-calculated from other data given in the book and so are of higher accuracy than the ones given in the book which are only to two decimal places.
Author(s)
Michael Dewey
References
Becker, B. J. (1994). Combining significance levels. In H. Cooper & L. V. Hedges (Eds.), The handbook of research synthesis (pp. 215–230). New York: Russell Sage Foundation.
Benjamini, Y., & Hochberg, Y. (2000). On the adaptive control of the false discovery rate in multiple testing with independent statistics. Journal of Educational and Behavioral Statistics, 25(1), 60–83. https://doi.org/10.3102/10769986025001060
Edgington, E. S. (1972). An additive method for combining probability values from independent experiments. Journal of Psychology, 80(2), 351-363. https://doi.org/10.1080/00223980.1972.9924813
Rosenthal, R. (1978). Combining results of independent studies. Psychological Bulletin, 85(1), 185–193. https://doi.org/10.1037/0033-2909.85.1.185
Sutton, A. J., Abrams, K. R., Jones, D. R., Sheldon, T. A., & Song, F. (2000). Methods for meta-analysis in medical research. Chichester, UK: Wiley.
Zhang, Y.-M., Lu, Y., Tang, Y., Yang, D., Wu, H.-F., Bian, Z.-P., Xu, J.-D., Gu, C.-R., Wang, L.-S., & Chen, X.-J. (2016). The effects of different initiation time of exercise training on left ventricular remodeling and cardiopulmonary rehabilitation in patients with left ventricular dysfunction after myocardial infarction. Disability and Rehabilitation, 38(3), 268–276. https://doi.org/10.3109/09638288.2015.1036174
Examples
dat.metap
metadat documentation built on April 29, 2026, 5:10 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| dat.metap | R Documentation |
Example Data for the Meta-Analysis of Significance Values
Description
A collection of datasets for illustrating the meta-analysis of significance values (i.e., methods for combining p-values from tests of significance).
Usage
dat.metap
Format
A list with the following elements:
beckerpA numeric vector with 5 hypothetical
p-valuescholestA data frame with 34 observations on the following 5 variables:
ntreat numericnumber of patients in the treated group ncontrol numericnumber of patients in the control group dtreat numericnumber of deaths in the treated group dcontrol numericnumber of deaths in the control group p numericone-sided p-valuesedgingtonA vector of with 7 hypothetical
p-valuesmourningA data frame with 9 observations on the following 3 variables:
stance charactercharacter variable with levels No stand,Opponent,Supportergrade charactercharacter variable with levels G11-12,G7-8,G9-10p numericp-valuesnaepA data frame with 34 observations on the following 2 variables:
state charactercharacter variable with two-letter US state names p numericp-valuesrosenthalA data frame with 5 observations on the following 3 variables:
t numerict-statistics df numericdegrees of freedom p numericone-sided p-valuesteachexpectA vector of 19
p-valuesvalidity-
A data frame with 20 observations on the following 3 variables:
n numericsample sizes r numericcorrelation coefficients p numericone-sided p-values zhangA data frame with 22 observations on the following 11 variables:
study characterstudy names smd numericstandardized mean differences lo numericlower confidence interval limits hi numericupper confidence interval limits ntreat numerictreated group sample sizes ncont numericcontrol group sample sizes n numerictotal sample sizes phase factorphase the patients were in: acute, healing, healed sd numericthe calculated standard deviations z numericthe calculated z-values p numericone-sided p-values
Details
beckerpHypothetical
p-values from Becker (1994).cholestTrials of interventions for cholesterol lowering from Sutton et al. (2000).
edgingtonHypothetical
p-values from Edgington (1972).mourningResults from a study of mourning practices of Israeli youth following the assassination of Itzakh Rabin from Benjamini and Hochberg (2000).
naepResults of mathematical achievement scores from the National Assessment of Educational Progress from Benjamini and Hochberg (2000).
rosenthalHypothetical example from Rosenthal (1978).
teachexpectp-values from studies of the effect of manipulating teacher expectancy on student IQ from Becker (1994).validityData from studies of validity of student ratings of their instructors from Becker (1994) including correlations and sample sizes as well as
p-values.zhangData from trials of exercise training for patients with cardiovascular disease from Zhang et al. (2016).
Concepts
combining p-values
Note
The p-values in cholest have been re-calculated from other data given in the book and so are of higher accuracy than the ones given in the book which are only to two decimal places.
Author(s)
Michael Dewey
References
Becker, B. J. (1994). Combining significance levels. In H. Cooper & L. V. Hedges (Eds.), The handbook of research synthesis (pp. 215–230). New York: Russell Sage Foundation.
Benjamini, Y., & Hochberg, Y. (2000). On the adaptive control of the false discovery rate in multiple testing with independent statistics. Journal of Educational and Behavioral Statistics, 25(1), 60–83. https://doi.org/10.3102/10769986025001060
Edgington, E. S. (1972). An additive method for combining probability values from independent experiments. Journal of Psychology, 80(2), 351-363. https://doi.org/10.1080/00223980.1972.9924813
Rosenthal, R. (1978). Combining results of independent studies. Psychological Bulletin, 85(1), 185–193. https://doi.org/10.1037/0033-2909.85.1.185
Sutton, A. J., Abrams, K. R., Jones, D. R., Sheldon, T. A., & Song, F. (2000). Methods for meta-analysis in medical research. Chichester, UK: Wiley.
Zhang, Y.-M., Lu, Y., Tang, Y., Yang, D., Wu, H.-F., Bian, Z.-P., Xu, J.-D., Gu, C.-R., Wang, L.-S., & Chen, X.-J. (2016). The effects of different initiation time of exercise training on left ventricular remodeling and cardiopulmonary rehabilitation in patients with left ventricular dysfunction after myocardial infarction. Disability and Rehabilitation, 38(3), 268–276. https://doi.org/10.3109/09638288.2015.1036174
Examples
dat.metap
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.