> x <- "
+ cluster_ac clockrate age class
+ 7337 0.19 0.001 alpha_proteins
+ 7888 0.21 0.78 beta_proteins
+ 7337 0.39 0.001 alpha_proteins
+ 7888 0.41 0.78 beta_proteins
+ 7337 0.59 0.001 alpha_proteins
+ 7888 0.61 0.78 beta_proteins
+ 7337 0.97 0.001 alpha_proteins
+ 7888 0.81 0.78 beta_proteins
+ 7337 0.99 0.001 alpha_proteins
+ 7888 0.1 0.78 beta_proteins
+ "
> df <- read.table(textConnection(x), header=TRUE)
> tapply(df$clockrate, df$class, mean)
alpha_proteins beta_proteins
0.626 0.428
>
On 7/11/06, lalitha viswanath <[EMAIL PROTECTED]> wrote:
>
> Hi
> I have a table that goes
> data
>
> cluster_ac clockrate age class
> 7337 0.9 0.001 alpha_proteins
> 7888 0.1 0.78 beta proteins
>
> etc
>
> The class column can have 7-8 different unique values
> While the clockrate and age columns are floats varying
> from 0 to 1.
>
> I wish to get the average clockrate across each of the
> classes for this data.
>
> I would appreciate your help regarding the aboe.
>
> Thanks
> Lalitha
>
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