For more complicated examples, the (relatively new) array2DF()
function is also useful:
> with(data, tapply(count, Date, mean)) |> array2DF()
Var1Value
1 2024-03-23 5.416667
2 2024-03-24 5.50
3 2024-03-25 6.00
4 2024-03-26 4.476190
5 2024-03-27 6.538462
6 2024-03-28 5.20
o
Às 08:58 de 27/03/2024, Ogbos Okike escreveu:
Dear Rui,
Nice to hear from you!
I am sorry for the omission and I have taken note.
Many thanks for responding. The second solution looks elegant as it quickly
resolved the problem.
Please, take a second look at the first solution. It refused to ru
Dear Rui,
Nice to hear from you!
I am sorry for the omission and I have taken note.
Many thanks for responding. The second solution looks elegant as it quickly
resolved the problem.
Please, take a second look at the first solution. It refused to run. Looks
as if the pipe is not properly position
Às 04:30 de 27/03/2024, Ogbos Okike escreveu:
Warm greetings to you all.
Using the tapply function below:
data<-read.table("FD1month",col.names = c("Dates","count"))
x=data$count
f<-factor(data$Dates)
AB<- tapply(x,f,mean)
I made a simple calculation. The result, stored in AB, is of the form
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