Try this:
xtabs(V5 ~ V1 + V6, data = DF)
On Thu, Feb 18, 2010 at 1:50 PM, Alfredo Alessandrini
<alfreale74 at gmail.com> wrote:> Hi,
>
> I've this dataframe:
>
> ? ? ? ? ? ? ? ? V1 ? ? V5 V6
> 1 ? MOD13Q1_2000049 0.1723 A1
> 2 ? MOD13Q1_2000049 0.1824 B1
> 3 ? MOD13Q1_2000049 0.1824 C1
> 4 ? MOD13Q1_2000049 0.1774 A2
> 5 ? MOD13Q1_2000049 0.1953 B2
> 6 ? MOD13Q1_2000049 0.1824 C2
> 7 ? MOD13Q1_2000065 0.1921 A1
> 8 ? MOD13Q1_2000065 0.1938 B1
> 9 ? MOD13Q1_2000065 0.2009 C1
> 10 ?MOD13Q1_2000065 0.2035 A2
> 11 ?MOD13Q1_2000065 0.2157 B2
> 12 ?MOD13Q1_2000065 0.2157 C2
> 13 ?MOD13Q1_2000081 0.1997 A1
> 14 ?MOD13Q1_2000081 0.2060 B1
> 15 ?MOD13Q1_2000081 0.2140 C1
> 16 ?MOD13Q1_2000081 0.1997 A2
> 17 ?MOD13Q1_2000081 0.2099 B2
> 18 ?MOD13Q1_2000081 0.2099 C2
>
>
> Can I aggreate the data$V5 by the column "V6"?
>
> Like this:
>
> ? ? ? ?A1 ? ? ?A2 ? ? ?B1 ? ? ?B2 ? ? ?C1 ? ? ?C2
> MOD13Q1_2000049 0.1723 ?0.1774 ?0.1824 ?0.1953 ?0.1824 ?0.1824
> MOD13Q1_2000065 0.1921 ?0.2035 ?0.1938 ?0.2157 ?0.2009 ?0.2157
> MOD13Q1_2000081 0.1997 ?0.1997 ?0.206 ? 0.2099 ?0.214 ? 0.2099
>
>
>
> Thanks,
>
> Alfredo
>
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--
Henrique Dallazuanna
Curitiba-Paran?-Brasil
25? 25' 40" S 49? 16' 22" O