>> What I want to do is do a forrest (forest) plot for subgroups within my
>> single dataset as a test of heterogeniety. I have a dataset who received
>> either full dose(FD) or reduced dose(RD) treatment, and a number of
>> characteristics about those subjects: age, sex, renal function, weight,
>> toxicity. And I have survival data (censored). they are in standard
>> columnar data.
>>
> Is there an *easy* way to transform them into something like this:
>>
>> SubGroup n.FD n.RD surv.FD surv.RD
>> 1 Age >65
>> 2 Age <= 65
>> 3 Male
>> ...
>> 9 Grade 0-2 Tox
>> 10 Grade 3/4 Tox
>>
>Hi Calum,
>Have you tried subsetting the dataset like this:
>
>meta.DSL(...,data=mydataset[mydataset$age <= 65,],...)
>
>Jim
Hi Jim,
I'm not sure that I understand! But my understanding was that meta.DSL wants 4
bits of information number treated (Full Dose in my case), Number in control
(reduced dose in my case), Number of events in the twoi groups... which is what
I was trying to describe above - although possibly not very well..
Then it will do the work for me.
My challenge is taking a load of data in columns and getting it summarised by
the subgroups so that it takes Age > 65 and counts how many had full dose,
howmany had reduced dose and populates the field then does the same for Age <
65 etc etc... (I may be back with questions about the survival value - but
even knowing how to get it to summarise like I describe would be a start. I
guess its a bit like a pivot table in excel?
But perhaps its something to do with the mydataset[mydataset$age <=65,] bit?
That seems to give me a data table with only the 65 and unders which makes
sense. But then how do I get it to populate a table with the numbers in the
two groups?
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