> 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 <lalithaviswanath@yahoo.com> 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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