Using reshape you can try this:
reshape(resp.df, direction = "long", idvar="patient", varying =
list(grep("fev", names(resp.df))))
On Thu, Aug 27, 2009 at 8:37 PM, Richardson, Patrick <
patrick.richard...@vai.org> wrote:
> I have a dataset that I'm trying to rearrange for a repeated measures
> analysis:
>
> It looks like:
>
> patient basefev1 fev11h fev12h fev13h fev14h fev15h fev16h fev17h fev18h
> drug
> 201 2.46 2.68 2.76 2.50 2.30 2.14 2.40 2.33 2.20 a
> 202 3.50 3.95 3.65 2.93 2.53 3.04 3.37 3.14 2.62 a
> 203 1.96 2.28 2.34 2.29 2.43 2.06 2.18 2.28 2.29 a
> 204 3.44 4.08 3.87 3.79 3.30 3.80 3.24 2.98 2.91 a
>
> And I want to make it look like:
>
> Patient FEV time drug
> 201 2.46 0 a
> 201 2.68 1 a
> 201 2.76 2 a
> 201 2.50 3 a
>
> And so on . . . . . There would be 9 "time" and drug is a factor variable.
>
> I know there is a way to do this in R but I cannot remember the function.
> I've looked at the transpose function in (base) but that doesn't seem to be
> what I want. Can something like this be done easily from within package
> functions or would it require writing something custom? Another program
> would use something like the transpose procedure, but I'm trying to stay
> away from that program.
>
> Thanks,
>
> Patrick
>
> R version 2.9.2 (2009-08-24)
> i386-pc-mingw32
>
> locale:
> LC_COLLATE=English_United States.1252;LC_CTYPE=English_United
> States.1252;LC_MONETARY=English_United
> States.1252;LC_NUMERIC=C;LC_TIME=English_United States.1252
>
> attached base packages:
> [1] grDevices datasets tcltk splines graphics stats utils
> methods base
>
> other attached packages:
> [1] svSocket_0.9-43 svMisc_0.9.48 TinnR_1.0.3 R2HTML_1.59-1
> Hmisc_3.6-1 survival_2.35-4
>
> loaded via a namespace (and not attached):
> [1] cluster_1.12.0 grid_2.9.2 lattice_0.17-25 tools_2.9.2
> This email message, including any attachments, is for ...{{dropped:20}}
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