Hi
I Have a very large dataset that I would like to conduct ANOVA tests on. Im not
a very strong programmer so any help would be appreciated.
the format is
Identifier A1 A2 B1 B2 C1 C2
Norm1 Norm2
1234 1 1 NA NA 4 3
NA NA
4567 2 2 4 4 8 8
9 9
and so on
I have 10 runs for 3 different doses plus the normal state. Any help greatly
appreciated
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Hi, I'm using a repeated measures ANOVA in R using lme(). The SAS code would
be: PROC MIXED DATA=[data set below]; CLASS pid treat period time seq;
MODEL Y = seq period treat time treat*time; REPEATED time / SUBJECT=pid
TYPE=cs;RUN, I donot have SAS, instead I have R and I would like to try the
following:anova(lme(response ~ seq period treat time treat*time,random= ~1|SUB,
correlation=corCompSymm())) Is this correct? Can I also write the model
as Y_ijklt = m + a_l + b_k + c_j + d_t + (cd)_jt + u_ijklt Y_ijklt is the
response variable due to pid i, treat j, period k, seq l, and time t. Thank you
very much in advance for your help :)
Samor
[[alternative HTML version deleted]]
Hi,I'm using a repeated measures ANOVA in R using lme(). The SAS code would
be:
PROC MIXED DATA=[data set below];
CLASS pid treat period time seq;
MODEL Y = seq period treat time treat*time;
REPEATED time / SUBJECT=pid TYPE=cs;
RUN, I donot have SAS, instead I have R and I would like to try the following:
anova(lme(response ~ seq period treat time treat*time,random= ~1|SUB,
correlation=corCompSymm()))
Is this correct? Can I also write the model as
Y_ijklt = m + a_l + b_k + c_j + d_t + (cd)_jt + u_ijkltY_ijklt is the response
variable due to pid i, treat j, period k, seq l, and time t. Thank you very much
in advance for your help :)
Samor
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