manova.growth {agce}R Documentation

Performs a multivariate analysis of variance for growth curve experiments.

Description

Performs a multivariate analysis of variance for growth curves experiments. By default we test the hypothesis of no group*time interactions.

Usage

manova.growth(data, C=NULL, U=NULL, normal=TRUE, B=1000)

Arguments

data The data matrix or data frame, where the first column correspond to the group ids, the second to the animal ids, the remaining columns are the measurements at each time.
C The left contrast matrix. Default to test no time*group interactions.
U The right contrast matrix. Default to test no time*group interactions.
normal A logical value, if normal if true the standard deviations of the rates are computed based on normal assumption of the measurements, otherwise computed by bootstraping. Default to TRUE.
B A numeric value, the number of bootstraps. Only used if normal is FALSE.

Value

Ftest The value of the F-test used to test the hypothesis based on C and U.
df1 The numerator degrees of freedom for the F-test
df2 The denominator degrees of freedom for the F-test
p The p-value associated to the F-test
mean The estimate of the mean
std.mean The standard deviation associated to the mean
rate The rate of growth. Set to NULL if rate is FALSE
std.rate The standard deviation of the rates. Set to NULL if rate is FALSE

Author(s)

Raphael Gottardo

References

Daniel F. Heitjan, Andrea Manni and Richard J. Santen Statistical Analysis of in Vivo Tumor Growth Experiments Cancer Research 53:6042-6050, 1993.

See Also

growth.curve, ano.difference

Examples

data(Bt20)
manova.growth(Bt20, C=NULL, U=NULL, normal=TRUE)

[Package agce version 1.2 Index]