SnedecorCochran {bayesmeta} | 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)