| anova.mean {HH} | R Documentation |
Oneway ANOVA table from the summary information consisting of group sample sizes, means, and standard deviations. The full dataset is not needed.
anova.mean(object, n, ybar, s, ..., ylabel = "ylabel")
object |
level names |
n |
sample size for each level |
ybar |
sample mean for each level |
s |
sample standard deviation for each level |
... |
other arguments (not used) |
ylabel |
name of response variable |
Analysis of variance table, identical to the ANOVA table
that would have been produced
by anova.lm in S-Plus
and anova.lm in R
if the original data, rather than the summary data, had been available.
Richard M. Heiberger <rmh@temple.edu>
anova.lm in S-Plus
and anova.lm in R. plot.mmc.multicomp
## pulmonary data used in Hsu and Peruggia paper defining the mean-mean plot
## See ?plot.mmc.multicomp for details on the dataset.
pulmonary <- read.table(hh("datasets/pulmonary.dat"), header=TRUE,
row.names=NULL)
names(pulmonary)[3] <- "FVC"
names(pulmonary)[1] <- "smoker"
pulmonary$smoker <- factor(pulmonary$smoker, levels=pulmonary$smoker)
row.names(pulmonary) <- pulmonary$smoker
pulmonary
anova.mean(pulmonary$smoker,
pulmonary$n,
pulmonary$FVC,
pulmonary$s,
ylabel="pulmonary")