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dev3
2008 Jun 22
1
two newbie questions
....
# I have some data (there are many more variables, but this is a
reasonable approximation of it)
# here's a fabricated data frame that is similar in form to mine:
my.df <- data.frame(replicate(10, round(rnorm(100, mean=3.5, sd=1))))
var.list <- c("dv1", "dv2", "dv3", "iv1", "iv2", "iv3", "iv4", "iv5",
"intv1", "intv2")
names(my.df) <- var.list
# I have some are DVs:
dvs <- c("dv1", "dv2", "dv3")
# some IVs:
ivs <- c("iv1", "iv2&qu...
2010 Oct 29
1
Repeated Measures MANOVA
...s that will perform repeated measures MANOVAs? For example, let's say I have 3 DVs, one between-subjects IV, and one within-subjects IV. Based on the documentation for the manova command, a function like that below is not appropriate because it cannot take Error arguments.
manova(cbind(DV1,DV2,DV3) ~ BetweenSubjectsIV * WithinSubjectsIV + Error(SubjNum/WithinSubjectsIV), data=dat)
Do you know of any functions that would allow me to perform such an analysis? I realize that I could turn the DVs into levels of a new IV, and then perform a standard repeated measures ANOVA. But, I do not feel th...
2010 Oct 08
1
MANCOVA
...methods are correct, but I am less familiar with R, so I was
hoping someone could offer some suggestions. Oddly simple ANOVA is the
same in SPSS and R. Including covariates improves the main effect
(p-value) in R and diminishes it in SPSS..
The formula I have been using is:
>Y = cbind(dV1, dV2, dV3)
>aov(lm(Y~iV1+cV1+cV2))
The main?independent?variable is disease group and the covariates are
continuous nuisance variables such as age. Both nuisance variables
interact with the dependent variable but not each other. The frequency
distribution of the covariates is similar for each group, but...
2010 Oct 31
1
R-help Digest, Vol 92, Issue 31
...at will perform repeated measures MANOVAs?
For example, let's say I have 3 DVs, one between-subjects IV, and one
within-subjects IV. Based on the documentation for the manova command, a
function like that below is not appropriate because it cannot take Error
arguments.
manova(cbind(DV1,DV2,DV3) ~ BetweenSubjectsIV * WithinSubjectsIV +
Error(SubjNum/WithinSubjectsIV), data=dat)
Do you know of any functions that would allow me to perform such an analysis? I
realize that I could turn the DVs into levels of a new IV, and then perform a
standard repeated measures ANOVA. But, I do not feel...