SnedecorCochran | R Documentation |
This data set gives means and (squared) standard errors of percentages of conceptions obtained from samples for six bulls.
data("SnedecorCochran")
The data frame contains the following columns:
no | character | identifier |
n | numeric | sample size |
mean | numeric | mean |
var | numeric | variance (squared standard error) |
Quoting from Snedecor and Cochran (1967), Sec. 10.18: “In research on artificial insemination of cows, a series of semen samples from a bull are sent out and tested for their ability to produce conceptions. The following data from a larger set kindly supplied by Dr. G. W. Salisbury, show the percentages of conceptions obtained from the samples for six bulls.”
J. Hartung, G. Knapp, and B.K. Sinha. Statistical meta-analysis with applications. Wiley, Hoboken, NJ, USA, 2008.
G.W. Snedecor and W.G. Cochran. Statistical Methods. Iowa State University Press, Ames, IA, USA, 6th edition, 1967.
data("SnedecorCochran")
## Not run:
# analyze using uniform prior:
bma1 <- bayesmeta(y=SnedecorCochran[,"mean"],
sigma=sqrt(SnedecorCochran[,"var"]),
label=SnedecorCochran[,"no"],
tau.prior="uniform")
# analyze using Jeffreys prior:
bma2 <- bayesmeta(y=SnedecorCochran[,"mean"],
sigma=sqrt(SnedecorCochran[,"var"]),
label=SnedecorCochran[,"no"],
tau.prior="Jeffreys")
# compare results:
print(bma1)
print(bma2)
forestplot(bma1)
forestplot(bma2)
## End(Not run)
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