Hello,
The only explanation I'm seeing is you are computing the SunScore
averages using different datasets. With the dataset oyu've dput-ed I get
your hand results.
aggregate(SunScore ~ h, data=dat, mean)
h SunScore
1 0 131.0167
2 1 107.7436
# Another way of doing the same
sapply(split(dat$SunScore, h), mean, na.rm=TRUE)
0 1
131.0167 107.7436
Also, please quote the message you're answering to, it's better to have
context.
Rui Barradas
Em 28-06-2012 14:16, APOCooter escreveu:
That is very helpful, and exactly what I was looking for!
However, I seem to have some problems. When I ran the following line:
aggregate(SunScore ~ h, data=dat, mean)
I got the following output:
h SunScore
1 0 136.01389
2 1 135.27632
3 2 127.03704
4 3 127.17105
5 4 129.94545
6 5 113.70909
7 6 111.49020
8 7 109.51020
9 8 98.03922
10 9 88.40000
11 10 72.57407
12 11 63.41333
13 12 68.36170
14 13 68.28571
15 14 77.47761
16 15 93.18056
17 16 108.78161
18 17 112.39759
19 18 126.17241
20 19 126.98901
21 20 134.03896
22 21 131.48611
23 22 135.06024
24 23 136.02247
But when I do the averages by hand, I get different numbers. When I
calculated the average of the scores from 0:00 to 0:59, I got a score of
131.01667. However, R says the average for the same time period is
136.01389. Why are these numbers so different? And how can I fix it?
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