Dear Dr. Dalgaard
Sorry for delay reply..
That's exactly what I was looking for - thanks a lot.
Hsin-Ya
Peter Dalgaard wrote:
>
>
>
> Andrew Robinson wrote:
>> In your data, subject is nested within sequence. Was that your
>> intention?
>>
>>
> Presumably yes. This looks like a standar
gt;> print(lm3)
>> anova(lm3)
>>
>> When I use lm to fit the data, there are some problems
>> in ??subject*sequence??. I have use GLM in SPSS to
>> fit the same data, and it seems there is no problem.
>>
>> I don??t know where my problem is. How can
o fit linear models. So, how to catch all “test” values from
different dataframes? Or what should I do?
Best regards,
Hsin-Ya Lee
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Sent from the R help
gression. For example, I used the “regression” function of Microsoft
Excel 2003 and intercept is -0.01894 and X is 0.185758. I think that if I
can catch “test” (Y) values and “concentration” (X) values into a dataframe,
then I can use “lm” to fit linear models. So, how to catch all “test”
values fro
=x, formulation=y, subject=z, time=t, concentration=c)
A.split<-split(df, list(df$pH ,df$formulation, df$subject) )
A.split []
Best regards,
Hsin-Ya Lee
Henrique Dallazuanna wrote:
>
> Try this:
>
> A.split[[1]]["time"]
> A.split[[1]][["concentration"
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