anova.mean

0th

Percentile

ANOVA table from the group sample sizes, means, and standard deviations.

Oneway ANOVA table from the summary information consisting of group sample sizes, means, and standard deviations. The full dataset is not needed.

Keywords
models
Usage
anova.mean(object, n, ybar, s, ..., ylabel = "ylabel")
Arguments
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
Value

  • 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.

See Also

anova.lm in S-Plus and anova.lm in R. plot.mmc.multicomp

Aliases
  • anova.mean
Examples
## 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")
Documentation reproduced from package HH, version 1.18-1, License: GPL version 2 or newer

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