dat.metap | R Documentation |
The package contains the following datasets: beckerp
,
cholest
, edgington
, mourning
, naep
,
rosenthal
, teachexpect
, validity
,
and zhang
.
\loadmathjax
data(dat.metap)
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
beckerp
Hypothetical \mjseqnp values from \insertCitebecker94;textualmetap
cholest
\mjseqnp 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
\mjseqnp-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
The \mjseqnp-values in cholest
have been re-calculated
and are of higher accuracy than the ones given in the book.
Michael Dewey
data(dat.metap)
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