dat.metap: Example data

In metap: Meta-Analysis of Significance Values

Example data

Description

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

Usage

data(dat.metap)

Format

A list with the following elements:

beckerp

A vector of length 5

cholest

A data frame with 34 observations on the following 5 variables.

ntreat

A numeric vector of number treated

ncontrol

A numeric vector of number in the control group

dtreat

A numeric vector of number of deaths in the treated group

dcontrol

A numeric vector of number of deaths in the control group

p

a numeric vector of one sided \mjseqnp values

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 \mjseqnt

df

a numeric vector of degrees of freedom

p

a numeric vector of one sided \mjseqnp values

teachexpect

A vector of length 19

validity

A data frame with 20 observations on the following 3 variables

n

A numeric vector of sample sizes

r

a numeric vector of correlation coefficients

p

a numeric vector of one sided \mjseqnp values

zhang

A data frame with 22 observations on the following 11 variables

study

Character, the study names

smd

numeric, the standardised mean difference

lo

numeric, the lower confidence limit

hi

numeric, the upper confidence limit

ntreat

numeric, the treated sample size

ncont

numeric, the control sample size

n

numeric, the total sample size

phase

factor, what phase the patients were in: acute, healing, healed

sd

numeric, the calculated standard deviation

z

numeric, the calculated z

p

numeric, the probability associated with z

Details

beckerp

Hypothetical \mjseqnp values from \insertCitebecker94;textualmetap

cholest

\mjseqn

p values from trials of interventions for lowering cholesterol lowering from \insertCitesutton00;textualmetap

edgington

Hypothetical \mjseqnp values from \insertCiteedgington72a;textualmetap

mourning

Results from a study of mourning practices of Israeli youth following the assassination of Itzakh Rabin from \insertCitebenjamini00;textualmetap

naep

Results of mathematical achievment scores from the National Assessment of Educational Progress from \insertCitebenjamini00;textualmetap

rosenthal

Hypothetical example from \insertCiterosenthal78;textualmetap

teachexpect

\mjseqn

p-values from studies of the effect of manipulating teacher expectancy on student IQ from \insertCitebecker94;textualmetap

validity

Data from studies of validity of student ratings of their instructors from \insertCitebecker94;textualmetap including correlations and sample sizes as well as \mjseqnp-values

zhang

Data from trials of exercise training for patients with cardiovascular disease from \insertCitezhang16;textualmetap

Note

The \mjseqnp-values in cholest have been re-calculated and are of higher accuracy than the ones given in the book.

Author(s)

Michael Dewey

References

\insertAllCited

Examples

data(dat.metap)

metap documentation built on Oct. 9, 2023, 5:10 p.m.