Hello,
Try the following.
aggregate(Project ~ Country + Iso, data = df, FUN = length)
Hope this helps,
Rui Barradas
Em 19-06-2013 15:23, Arnaud Michel escreveu:
Hello
I have the following dataframe
df <- data.frame(
Project=c("Abaco","Abaco","Abac","Abaco","Abaco","Abaco",
"Abaco","Adaptclone","Adaptclone","Adaptclone","Adaptclone","Adaptclone",
"Adaptclone","Adopt","Adopt","Adopt"),
Country=c("Zimbabwe","Burkina Faso","South Africa","Madagascar","Tanzania",
"Mali","Mozambique","Madagascar","Ghana","Nigeria","Kenya","Burkina Faso",
"South Africa","Tanzania","Kenya","Ethiopia" ),
Iso=c("ZW","BF","ZA","MG","TZ","ML","MZ","MG","GH","NG","KE","BF",
"ZA","TZ","KE","ET"))
I would like to build a other dataframe with name Country
where column 1 is country,
the column 2 is number of project (in the country)
the column 3 is the code Iso (wich correspond with the country : Ex ZW
is ISO of Zimbabwe)
Pays PaysIso NbrProj
Zimbabwe ZW 1
Burkina Faso BF 2
I know associate Country and Number of projets but how associate Iso
Any idea ?
Thank you for your help
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