On 26/11/14 15:49, Bert Gunter wrote:
Yes, Rolf -- she seems to think that covariates must be categorical
and predictors categorical -- or maybe it's vice-versa.
You of course meant "... covariates must be categorical
and predictors numerical -- or maybe it's vice-versa."
(I can't help persis
Yes, Rolf -- she seems to think that covariates must be categorical
and predictors categorical -- or maybe it's vice-versa. Anyway, she
apparently has not done any homework (e.g. by reading an Intro to R)
and so doesn't understand the use of modeling formulas in lm() and
thus does not understand th
On 26/11/14 13:57, Kristi Glover wrote:
Hi,
I am wondering how I can separate whether it is covariate or predictor in the
ANOVA analysis. For example
A<-structure(list(Machine = c(1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L,
2L, 3L, 3L, 3L, 3L, 3L), Diameter = c(20L, 25L, 24L, 25L, 32L,
22L, 28L, 22L,
Hi,
I am wondering how I can separate whether it is covariate or predictor in the
ANOVA analysis. For example
A<-structure(list(Machine = c(1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L,
2L, 3L, 3L, 3L, 3L, 3L), Diameter = c(20L, 25L, 24L, 25L, 32L,
22L, 28L, 22L, 30L, 28L, 21L, 23L, 26L, 21L, 15L), Stre
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