On May 1, 2010, at 2:07 PM, Mohan L wrote:
Hi All,
I have the data like this :
sample <- read.csv(file="sample.csv",sep=",",header=TRUE)
sample
stdate Domain sex age Login
1 01/11/09 xxx FeMale 25 2
2 01/11/09 xxx FeMale 35 4
3 01/11/09 xxx Male 18 30
4 01/11/09 xxx Male 31 3
5 02/11/09 xxx Male 32 11
6 02/11/09 xxx Male 31 1
7 02/11/09 xxx FeMale 29 1
8 02/11/09 xxx FeMale 23 5
9 03/11/09 xxx FeMale 25 9
10 03/11/09 xxx FeMale 35 6
11 03/11/09 xxx Male 18 3
12 03/11/09 xxx Male 31 0
13 04/11/09 xxx Male 32 25
14 04/11/09 xxx Male 31 1
15 04/11/09 xxx FeMale 29 0
16 01/11/09 yyy FeMale 25 2
17 01/11/09 yyy FeMale 35 4
18 01/11/09 yyy Male 18 30
19 01/11/09 yyy Male 31 3
20 02/11/09 yyy Male 32 11
21 02/11/09 yyy Male 31 1
22 02/11/09 yyy FeMale 29 1
23 02/11/09 yyy FeMale 23 5
24 03/11/09 yyy FeMale 25 9
25 03/11/09 yyy FeMale 35 6
26 03/11/09 yyy Male 18 3
27 03/11/09 yyy Male 31 0
28 04/11/09 yyy Male 32 25
29 04/11/09 yyy Male 31 1
30 04/11/09 yyy FeMale 29 0
I need to fine the average login on 01/11/09 and 02/11/09 etc...
like below
avglog <- with(sample, tapply(Login, stdate, mean) )
stdate AverageLogin
01/11/09 9.75
02/11/09 .....
03/11/09 .......
How do I find the average Login based on date?
Thanks for your time.
Mohan L
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
David Winsemius, MD
West Hartford, CT
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
