Sorted by sample
OBS
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
...
62
63
64
65
66
67
68
69
70
71
72
...
SAMPLE
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
FISH_ID
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
CODE
76
76
76
76
76
76
76
76
76
76
73
73
73
341
212
1
2
2
2
2
2
2
2
2
2
2
62
1
2
3
4
5
6
7
8
9
10
78
212
212
212
212
141
141
341
210
210
210
LENGTH
219
122
131
149
126
120
111
69
75
63
27
30
29
75
98
510
99
96
55
84
64
79
76
71
71
65
...
...
Sorted by sample and code
OBS
SAMPLE
FISH_ID
1
1
11
2
1
12
3
1
13
4
1
1
5
1
2
6
1
3
7
1
4
8
1
5
9
1
6
10
1
7
11
1
8
12
1
9
13
1
10
14
1
62
15
1
21
16
1
22
17
1
23
18
1
24
...
62
1
61
63
2
37
64
2
38
65
2
5
66
2
6
67
2
39
68
2
40
CODE
73
73
73
76
76
76
76
76
76
76
76
76
76
78
210
210
210
210
381
76
76
141
141
163
163
LENGTH
27
30
29
219
122
131
149
126
120
111
69
75
63
510
46
36
56
40
51
25
27
64
79
185
91
69
70
71
...
2
2
2
8
9
10
210
210
210
71
71
65
OBS
1
2
3
4
5
6
7
8
9
10
11
12
13
14
...
63
64
65
66
67
68
69
70
71
...
SAMPLE
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
FISH_ID
11
12
13
1
2
3
4
5
6
7
8
9
10
62
37
38
5
6
39
40
8
9
10
CODE
73
73
73
76
76
76
76
76
76
76
76
76
76
78
76
76
141
141
163
163
210
210
210
LENGTH
Sample Code Mean_L
27
---->
30
----> 1
73
28.67
29
---->
219 ......>
122 ......>
131 ......>
149 ......>
126 ......> 1
76 118.50
120 ......>
111 ......>
69 ......>
75 ......>
63 ......>
510
----> 1
78 510.00
25
---->
27
---->
64 ......>
79 ......>
185
91
71
71
65
1
76
26.00
1
141
71.50
What to do in SAS when you have several tables that are alike, and want to
join them into a single larger table? Example:
bird1997
Site
Maple River
Maple River
Maple River
Maple River
Maple River
Maple River
Maple River
...
Year
1997
1997
1997
1997
1997
1997
1997
Bird_ID
1
2
3
4
5
6
7
Species
Mallard
Mallard
Mallard
BW Teal
GW Teal
Shoveler
Mallard
Distance (m)
15
35
18
25
20
05
09
Year
1998
1998
1998
1998
1998
1998
1998
Bird_ID
1
2
3
4
5
6
7
Species
Robin
Crow
Mallard
Brant
Mallard
Redhead
Widgeon
Distance (m)
18
09
01
15
20
35
10
bird1998
Site
Maple River
Maple River
Maple River
Maple River
Maple River
Maple River
Maple River
...
data bird;
set bird1997 bird1998;
run;
Note: can “set” only up to six tables at once, and the tables must have the
same structure
Statistics available:
PROC SUMMARY AND PROC MEANS:
N
Sample size
NMISS
Number of observations with missing (null) data
MEAN
Arithmetic mean
STD
Sample standard deviation
STDERR
Standard error
CLM
Confidence limits (need to specify alpha in procedure
options)
UCLM
Upper confidence limit (need to specify alpha in procedure
options)
LCLM
Lower confidence limit (need to specify alpha in procedure
options)
MIN
Minimum
MAX
Maximum
RANGE
Range
SUM
Total
VAR
Variance
USS
Uncorrected sums of squares
CSS
Corrected sums of squares
CV
Coefficient of variation
T
t-statistic
PRT
Probability that observed t-statistic or greater would occur
under null hypothesis that mean=0)
SKEWNESS
Skewness
KURTOSIS
Kurtosis
PROC UNIVARIATE ALSO ALLOWS YOU TO:
NORMAL
Test statistic for normality
SIGNRANK
Test statistic for sign rank
Px
Allows you to calculate any percentile from the data (e.g.,
95 percentile)
Q1
Lower quartile
Q3
Upper quartile
QRANGE
Difference between upper and lower quartiles
MSIGN
Sign statistic
PROBN
Probability that data comes from normal distribution
PROBM
Probability for sign statistic
PROBS
Probability for signed-rank statistic