ANOVA-class: Analysis of Variance
In adoptr: Adaptive Optimal Two-Stage Designs
ANOVA-class R Documentation
Analysis of Variance
Description
ANOVA is used to test whether there is a significant difference between the means of groups.
The sample size which adoptr returns is the group wise sample size.
The function get_tau_ANOVA is used to obtain a parameter \tau,
which is used in the same way as \theta to describe the difference of
means between the groups.
Usage
ANOVA(n_groups)
get_tau_ANOVA(means, common_sd = 1)
Arguments
n_groups
number of groups to be compared
means
vector denoting the mean per group
common_sd
standard deviation of the groups
See Also
see probability_density_function and
cumulative_distribution_function to evaluate the pdf
and the cdf, respectively. Use NestedModels to get insights
in the implementation of ANOVA.
Examples
model <- ANOVA(3L)
H1 <- PointMassPrior(get_tau_ANOVA(c(0.4, 0.8, 0.5)), 1)
adoptr documentation built on Oct. 3, 2024, 1:08 a.m.
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| ANOVA-class | R Documentation |
Analysis of Variance
Description
ANOVA is used to test whether there is a significant difference between the means of groups.
The sample size which adoptr returns is the group wise sample size.
The function get_tau_ANOVA is used to obtain a parameter \tau,
which is used in the same way as \theta to describe the difference of
means between the groups.
Usage
ANOVA(n_groups)
get_tau_ANOVA(means, common_sd = 1)
Arguments
n_groups |
number of groups to be compared |
means |
vector denoting the mean per group |
common_sd |
standard deviation of the groups |
See Also
see probability_density_function and
cumulative_distribution_function to evaluate the pdf
and the cdf, respectively. Use NestedModels to get insights
in the implementation of ANOVA.
Examples
model <- ANOVA(3L)
H1 <- PointMassPrior(get_tau_ANOVA(c(0.4, 0.8, 0.5)), 1)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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