And I responded as follows:
Hi,
Thanks for your advice. I tried using table() to check for missing
data. Here are the results:
> table(Combined.Plot)
Combined.Plot
60m A1 B1 B3 B4 C5 C9 D2 D9 F60m F8 Q7
34 34 34 34 34 34 34 34 34 34 34 34
> table(Combined.Day)
Combined.Day
1 2.5 7.5 8.5 10.5 12.5 14.5 17.5 18.5 19.5 21.5 24.5 29.5
32.5 37.5 50.5 79.5
24 24 24 24 24 24 24 24 24 24 24 24
24 24 24 24 24
So this seems to indicate that I have what I want. I have two
respiration data points at each plot on each day.
I set this data up so that I could make comparisons of all of the
samples on the same day. That's why I have numbers like 2.5.
I also made a table for comparison of Combined.Day and Combined.Plot.
> cbind(Combined.Day, Combined.Plot)
Combined.Day Combined.Plot
1 "1" "60m"
2.5 "2.5" "60m"
7.5 "7.5" "60m"
8.5 "8.5" "60m"
10.5 "10.5" "60m"
12.5 "12.5" "60m"
14.5 "14.5" "60m"
17.5 "17.5" "60m"
18.5 "18.5" "60m"
19.5 "19.5" "60m"
21.5 "21.5" "60m"
24.5 "24.5" "60m"
29.5 "29.5" "60m"
32.5 "32.5" "60m"
37.5 "37.5" "60m"
50.5 "50.5" "60m"
79.5 "79.5" "60m"
1 "1" "A1"
2.5 "2.5" "A1"
7.5 "7.5" "A1"
8.5 "8.5" "A1"
10.5 "10.5" "A1"
12.5 "12.5" "A1"
14.5 "14.5" "A1"
17.5 "17.5" "A1"
18.5 "18.5" "A1"
19.5 "19.5" "A1"
21.5 "21.5" "A1"
24.5 "24.5" "A1"
29.5 "29.5" "A1"
32.5 "32.5" "A1"
37.5 "37.5" "A1"
50.5 "50.5" "A1"
79.5 "79.5" "A1"
1 "1" "B1"
2.5 "2.5" "B1"
7.5 "7.5" "B1"
8.5 "8.5" "B1"
10.5 "10.5" "B1"
12.5 "12.5" "B1"
14.5 "14.5" "B1"
17.5 "17.5" "B1"
18.5 "18.5" "B1"
19.5 "19.5" "B1"
21.5 "21.5" "B1"
24.5 "24.5" "B1"
29.5 "29.5" "B1"
32.5 "32.5" "B1"
37.5 "37.5" "B1"
50.5 "50.5" "B1"
79.5 "79.5" "B1"
1 "1" "B3"
2.5 "2.5" "B3"
7.5 "7.5" "B3"
8.5 "8.5" "B3"
10.5 "10.5" "B3"
12.5 "12.5" "B3"
14.5 "14.5" "B3"
17.5 "17.5" "B3"
18.5 "18.5" "B3"
19.5 "19.5" "B3"
21.5 "21.5" "B3"
24.5 "24.5" "B3"
29.5 "29.5" "B3"
32.5 "32.5" "B3"
37.5 "37.5" "B3"
50.5 "50.5" "B3"
79.5 "79.5" "B3"
1 "1" "B4"
2.5 "2.5" "B4"
7.5 "7.5" "B4"
8.5 "8.5" "B4"
10.5 "10.5" "B4"
12.5 "12.5" "B4"
14.5 "14.5" "B4"
17.5 "17.5" "B4"
18.5 "18.5" "B4"
19.5 "19.5" "B4"
21.5 "21.5" "B4"
24.5 "24.5" "B4"
29.5 "29.5" "B4"
32.5 "32.5" "B4"
37.5 "37.5" "B4"
50.5 "50.5" "B4"
79.5 "79.5" "B4"
1 "1" "C5"
2.5 "2.5" "C5"
7.5 "7.5" "C5"
8.5 "8.5" "C5"
10.5 "10.5" "C5"
12.5 "12.5" "C5"
14.5 "14.5" "C5"
17.5 "17.5" "C5"
18.5 "18.5" "C5"
19.5 "19.5" "C5"
21.5 "21.5" "C5"
24.5 "24.5" "C5"
29.5 "29.5" "C5"
32.5 "32.5" "C5"
37.5 "37.5" "C5"
50.5 "50.5" "C5"
79.5 "79.5" "C5"
1 "1" "C9"
2.5 "2.5" "C9"
7.5 "7.5" "C9"
8.5 "8.5" "C9"
10.5 "10.5" "C9"
12.5 "12.5" "C9"
14.5 "14.5" "C9"
17.5 "17.5" "C9"
18.5 "18.5" "C9"
19.5 "19.5" "C9"
21.5 "21.5" "C9"
24.5 "24.5" "C9"
29.5 "29.5" "C9"
32.5 "32.5" "C9"
37.5 "37.5" "C9"
50.5 "50.5" "C9"
79.5 "79.5" "C9"
1 "1" "D2"
2.5 "2.5" "D2"
7.5 "7.5" "D2"
8.5 "8.5" "D2"
10.5 "10.5" "D2"
12.5 "12.5" "D2"
14.5 "14.5" "D2"
17.5 "17.5" "D2"
18.5 "18.5" "D2"
19.5 "19.5" "D2"
21.5 "21.5" "D2"
24.5 "24.5" "D2"
29.5 "29.5" "D2"
32.5 "32.5" "D2"
37.5 "37.5" "D2"
50.5 "50.5" "D2"
79.5 "79.5" "D2"
1 "1" "D9"
2.5 "2.5" "D9"
7.5 "7.5" "D9"
8.5 "8.5" "D9"
10.5 "10.5" "D9"
12.5 "12.5" "D9"
14.5 "14.5" "D9"
17.5 "17.5" "D9"
18.5 "18.5" "D9"
19.5 "19.5" "D9"
21.5 "21.5" "D9"
24.5 "24.5" "D9"
29.5 "29.5" "D9"
32.5 "32.5" "D9"
37.5 "37.5" "D9"
50.5 "50.5" "D9"
79.5 "79.5" "D9"
1 "1" "F60m"
2.5 "2.5" "F60m"
7.5 "7.5" "F60m"
8.5 "8.5" "F60m"
10.5 "10.5" "F60m"
12.5 "12.5" "F60m"
14.5 "14.5" "F60m"
17.5 "17.5" "F60m"
18.5 "18.5" "F60m"
19.5 "19.5" "F60m"
21.5 "21.5" "F60m"
24.5 "24.5" "F60m"
29.5 "29.5" "F60m"
32.5 "32.5" "F60m"
37.5 "37.5" "F60m"
50.5 "50.5" "F60m"
79.5 "79.5" "F60m"
1 "1" "F8"
2.5 "2.5" "F8"
7.5 "7.5" "F8"
8.5 "8.5" "F8"
10.5 "10.5" "F8"
12.5 "12.5" "F8"
14.5 "14.5" "F8"
17.5 "17.5" "F8"
18.5 "18.5" "F8"
19.5 "19.5" "F8"
21.5 "21.5" "F8"
24.5 "24.5" "F8"
29.5 "29.5" "F8"
32.5 "32.5" "F8"
37.5 "37.5" "F8"
50.5 "50.5" "F8"
79.5 "79.5" "F8"
1 "1" "Q7"
2.5 "2.5" "Q7"
7.5 "7.5" "Q7"
8.5 "8.5" "Q7"
10.5 "10.5" "Q7"
12.5 "12.5" "Q7"
14.5 "14.5" "Q7"
17.5 "17.5" "Q7"
18.5 "18.5" "Q7"
19.5 "19.5" "Q7"
21.5 "21.5" "Q7"
24.5 "24.5" "Q7"
29.5 "29.5" "Q7"
32.5 "32.5" "Q7"
37.5 "37.5" "Q7"
50.5 "50.5" "Q7"
79.5 "79.5" "Q7"
1 "1" "60m"
2.5 "2.5" "60m"
7.5 "7.5" "60m"
8.5 "8.5" "60m"
10.5 "10.5" "60m"
12.5 "12.5" "60m"
14.5 "14.5" "60m"
17.5 "17.5" "60m"
18.5 "18.5" "60m"
19.5 "19.5" "60m"
21.5 "21.5" "60m"
24.5 "24.5" "60m"
29.5 "29.5" "60m"
32.5 "32.5" "60m"
37.5 "37.5" "60m"
50.5 "50.5" "60m"
79.5 "79.5" "60m"
1 "1" "A1"
2.5 "2.5" "A1"
7.5 "7.5" "A1"
8.5 "8.5" "A1"
10.5 "10.5" "A1"
12.5 "12.5" "A1"
14.5 "14.5" "A1"
17.5 "17.5" "A1"
18.5 "18.5" "A1"
19.5 "19.5" "A1"
21.5 "21.5" "A1"
24.5 "24.5" "A1"
29.5 "29.5" "A1"
32.5 "32.5" "A1"
37.5 "37.5" "A1"
50.5 "50.5" "A1"
79.5 "79.5" "A1"
1 "1" "B1"
2.5 "2.5" "B1"
7.5 "7.5" "B1"
8.5 "8.5" "B1"
10.5 "10.5" "B1"
12.5 "12.5" "B1"
14.5 "14.5" "B1"
17.5 "17.5" "B1"
18.5 "18.5" "B1"
19.5 "19.5" "B1"
21.5 "21.5" "B1"
24.5 "24.5" "B1"
29.5 "29.5" "B1"
32.5 "32.5" "B1"
37.5 "37.5" "B1"
50.5 "50.5" "B1"
79.5 "79.5" "B1"
1 "1" "B3"
2.5 "2.5" "B3"
7.5 "7.5" "B3"
8.5 "8.5" "B3"
10.5 "10.5" "B3"
12.5 "12.5" "B3"
14.5 "14.5" "B3"
17.5 "17.5" "B3"
18.5 "18.5" "B3"
19.5 "19.5" "B3"
21.5 "21.5" "B3"
24.5 "24.5" "B3"
29.5 "29.5" "B3"
32.5 "32.5" "B3"
37.5 "37.5" "B3"
50.5 "50.5" "B3"
79.5 "79.5" "B3"
1 "1" "B4"
2.5 "2.5" "B4"
7.5 "7.5" "B4"
8.5 "8.5" "B4"
10.5 "10.5" "B4"
12.5 "12.5" "B4"
14.5 "14.5" "B4"
17.5 "17.5" "B4"
18.5 "18.5" "B4"
19.5 "19.5" "B4"
21.5 "21.5" "B4"
24.5 "24.5" "B4"
29.5 "29.5" "B4"
32.5 "32.5" "B4"
37.5 "37.5" "B4"
50.5 "50.5" "B4"
79.5 "79.5" "B4"
1 "1" "C5"
2.5 "2.5" "C5"
7.5 "7.5" "C5"
8.5 "8.5" "C5"
10.5 "10.5" "C5"
12.5 "12.5" "C5"
14.5 "14.5" "C5"
17.5 "17.5" "C5"
18.5 "18.5" "C5"
19.5 "19.5" "C5"
21.5 "21.5" "C5"
24.5 "24.5" "C5"
29.5 "29.5" "C5"
32.5 "32.5" "C5"
37.5 "37.5" "C5"
50.5 "50.5" "C5"
79.5 "79.5" "C5"
1 "1" "C9"
2.5 "2.5" "C9"
7.5 "7.5" "C9"
8.5 "8.5" "C9"
10.5 "10.5" "C9"
12.5 "12.5" "C9"
14.5 "14.5" "C9"
17.5 "17.5" "C9"
18.5 "18.5" "C9"
19.5 "19.5" "C9"
21.5 "21.5" "C9"
24.5 "24.5" "C9"
29.5 "29.5" "C9"
32.5 "32.5" "C9"
37.5 "37.5" "C9"
50.5 "50.5" "C9"
79.5 "79.5" "C9"
1 "1" "D2"
2.5 "2.5" "D2"
7.5 "7.5" "D2"
8.5 "8.5" "D2"
10.5 "10.5" "D2"
12.5 "12.5" "D2"
14.5 "14.5" "D2"
17.5 "17.5" "D2"
18.5 "18.5" "D2"
19.5 "19.5" "D2"
21.5 "21.5" "D2"
24.5 "24.5" "D2"
29.5 "29.5" "D2"
32.5 "32.5" "D2"
37.5 "37.5" "D2"
50.5 "50.5" "D2"
79.5 "79.5" "D2"
1 "1" "D9"
2.5 "2.5" "D9"
7.5 "7.5" "D9"
8.5 "8.5" "D9"
10.5 "10.5" "D9"
12.5 "12.5" "D9"
14.5 "14.5" "D9"
17.5 "17.5" "D9"
18.5 "18.5" "D9"
19.5 "19.5" "D9"
21.5 "21.5" "D9"
24.5 "24.5" "D9"
29.5 "29.5" "D9"
32.5 "32.5" "D9"
37.5 "37.5" "D9"
50.5 "50.5" "D9"
79.5 "79.5" "D9"
1 "1" "F60m"
2.5 "2.5" "F60m"
7.5 "7.5" "F60m"
8.5 "8.5" "F60m"
10.5 "10.5" "F60m"
12.5 "12.5" "F60m"
14.5 "14.5" "F60m"
17.5 "17.5" "F60m"
18.5 "18.5" "F60m"
19.5 "19.5" "F60m"
21.5 "21.5" "F60m"
24.5 "24.5" "F60m"
29.5 "29.5" "F60m"
32.5 "32.5" "F60m"
37.5 "37.5" "F60m"
50.5 "50.5" "F60m"
79.5 "79.5" "F60m"
1 "1" "F8"
2.5 "2.5" "F8"
7.5 "7.5" "F8"
8.5 "8.5" "F8"
10.5 "10.5" "F8"
12.5 "12.5" "F8"
14.5 "14.5" "F8"
17.5 "17.5" "F8"
18.5 "18.5" "F8"
19.5 "19.5" "F8"
21.5 "21.5" "F8"
24.5 "24.5" "F8"
29.5 "29.5" "F8"
32.5 "32.5" "F8"
37.5 "37.5" "F8"
50.5 "50.5" "F8"
79.5 "79.5" "F8"
1 "1" "Q7"
2.5 "2.5" "Q7"
7.5 "7.5" "Q7"
8.5 "8.5" "Q7"
10.5 "10.5" "Q7"
12.5 "12.5" "Q7"
14.5 "14.5" "Q7"
17.5 "17.5" "Q7"
18.5 "18.5" "Q7"
19.5 "19.5" "Q7"
21.5 "21.5" "Q7"
24.5 "24.5" "Q7"
29.5 "29.5" "Q7"
32.5 "32.5" "Q7"
37.5 "37.5" "Q7"
50.5 "50.5" "Q7"
79.5 "79.5" "Q7"
--
View this message in context:
http://r.789695.n4.nabble.com/ANOVA-1-too-few-degrees-of-freedom-tp3493349p3496871.html
Sent from the R help mailing list archive at Nabble.com.
______________________________________________
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.
