我需要将数据帧转换为矩阵，我使用以下代码：
LoggAbundTGLMSOagg <- tapply(AbundTGLMSOagg$occurrence,list(AbundTGLMSOagg$plot,AbundTGLMSOagg$species),mean)
我得到了所需的矩阵格式，但零变成了NA。使用tapply（），我如何保留零？
我可以写一个csv文件
write.csv(LoggAbundTGLMSOagg, "LoggAbundTGLMSOagg.csv", na="0", row.names=TRUE)
并将其读回R中，但肯定会有更优雅的解决方案。
非常感谢您的任何建议。
这是我的数据：
> dput(AbundTGLMSOagg)
structure(list(plot = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L,
8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 11L, 11L,
11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L,
13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 15L, 15L, 15L,
15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L,
16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 18L, 18L, 18L,
18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 19L, 19L, 19L, 19L, 19L,
19L, 19L, 19L, 19L, 19L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L,
20L, 20L, 20L, 20L, 20L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L,
21L, 21L, 21L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 23L, 23L,
23L, 23L, 23L, 23L, 23L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 25L,
25L, 25L, 25L, 25L, 25L, 25L, 25L, 26L, 26L, 26L, 26L, 26L, 26L,
26L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 28L, 28L, 28L, 28L,
28L, 29L, 29L, 29L, 29L, 30L, 30L, 30L, 30L, 31L, 31L, 31L, 31L,
31L, 31L, 31L, 31L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 33L, 33L,
33L, 33L, 33L, 33L, 34L, 34L, 34L, 34L, 34L, 34L, 35L, 35L, 35L,
35L, 35L, 35L, 35L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L,
37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 38L, 38L, 38L,
38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 39L, 39L, 39L, 39L, 39L,
39L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 41L, 41L, 41L,
41L, 41L, 41L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L,
43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 44L, 44L, 44L, 44L, 45L,
45L, 45L, 45L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 47L,
47L, 47L, 47L, 47L, 47L, 47L, 47L, 48L, 48L, 48L, 48L, 48L, 48L,
48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 49L,
49L, 49L, 49L, 49L, 49L, 49L, 50L, 50L, 50L, 50L, 50L, 50L, 50L,
50L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 52L, 52L, 52L, 52L,
52L, 52L, 52L, 52L, 52L, 52L, 52L, 52L, 52L, 52L, 53L, 53L, 53L,
53L, 53L, 53L, 53L, 53L, 53L, 53L, 53L, 54L, 54L, 54L, 54L, 54L,
54L, 54L, 54L, 54L, 54L, 54L, 54L, 54L, 54L, 55L, 55L, 55L, 55L,
55L, 55L, 55L, 55L, 55L, 55L, 55L, 55L, 55L, 55L, 55L, 56L, 56L,
56L, 56L, 56L, 56L, 56L, 56L, 56L, 57L, 57L, 57L, 57L, 57L, 57L,
57L, 57L, 57L, 57L, 57L, 58L, 58L, 58L, 58L, 58L, 58L, 58L, 58L,
58L, 58L, 59L, 59L, 59L, 59L, 59L, 59L, 59L, 59L, 59L, 59L, 60L,
60L, 60L, 60L, 60L, 60L, 60L, 60L, 60L, 61L, 61L, 61L, 61L, 61L,
61L, 61L, 61L, 61L, 61L, 61L, 61L, 62L, 62L, 62L, 62L, 62L, 62L,
62L, 62L, 62L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 64L, 64L, 64L,
64L, 64L, 65L, 65L, 65L, 65L, 65L, 65L, 65L, 65L, 65L, 65L, 66L,
66L, 66L, 66L, 66L, 66L, 66L, 66L, 67L, 67L, 67L, 67L, 67L, 67L,
67L, 68L, 68L, 68L, 68L, 68L, 68L, 68L, 69L, 69L, 69L, 69L, 69L,
69L, 69L, 70L, 70L, 70L, 70L, 70L, 70L, 71L, 71L, 71L, 71L, 71L,
71L, 71L, 71L, 71L, 71L, 72L, 72L, 72L, 72L, 72L, 72L, 72L, 73L,
73L, 73L, 73L, 73L, 73L, 73L, 73L, 73L, 74L, 74L, 74L, 74L, 74L,
74L, 74L, 74L, 75L, 75L, 75L, 75L, 75L, 75L, 76L, 76L, 76L, 76L,
76L, 76L, 77L, 77L, 77L, 77L, 77L, 77L, 77L, 78L, 78L, 78L, 78L,
78L, 78L, 79L, 79L, 79L, 79L, 79L, 79L, 79L, 79L, 79L, 80L, 80L,
80L, 80L, 80L, 81L, 81L, 81L, 81L, 82L, 82L, 82L, 82L, 82L, 82L,
82L, 83L, 83L, 83L, 83L, 83L, 83L, 83L, 84L, 84L, 84L, 84L, 84L,
84L, 84L, 84L, 84L, 85L, 85L, 85L, 85L, 85L, 85L, 86L, 86L, 86L,
86L, 87L, 87L, 87L, 87L, 87L, 87L, 87L, 87L, 87L, 87L, 88L, 88L,
88L, 88L, 88L, 89L, 89L, 89L, 89L, 89L, 89L, 89L, 89L, 89L, 89L,
89L, 89L, 90L, 90L, 90L, 90L, 90L, 90L, 90L, 91L, 91L, 91L, 91L,
91L, 91L, 91L, 91L, 92L, 92L, 92L, 92L, 92L, 92L, 93L, 93L, 93L,
93L, 93L, 93L, 93L, 93L, 93L, 94L, 94L, 94L, 94L, 94L, 94L, 94L,
95L, 95L, 95L, 95L, 95L, 95L, 95L, 95L, 95L, 95L, 95L, 96L, 96L,
96L, 96L, 96L, 96L, 96L, 97L, 97L, 97L, 97L, 97L, 97L, 97L, 97L,
97L, 97L, 97L, 98L, 98L, 98L, 98L, 98L, 98L, 98L, 98L, 98L, 98L,
98L, 99L, 99L, 99L, 99L, 99L, 99L, 99L, 99L, 99L, 99L, 99L, 100L,
100L, 100L, 100L, 100L, 100L, 100L, 100L, 100L, 101L, 101L, 101L,
101L, 101L, 101L, 101L, 101L, 101L, 101L, 102L, 102L, 102L, 102L,
102L, 102L, 102L, 102L, 102L, 103L, 103L, 103L, 103L, 103L, 103L,
103L, 103L, 104L, 104L, 104L, 104L, 104L, 104L, 104L, 105L, 105L,
105L, 105L, 105L, 105L, 105L, 105L, 105L, 106L, 106L, 106L, 106L,
106L, 106L, 106L, 106L, 107L, 107L, 107L, 107L, 107L, 107L, 107L,
107L, 107L, 107L, 107L, 107L, 107L, 107L, 108L, 108L, 108L, 108L,
108L, 108L, 108L, 109L, 109L, 109L, 109L, 109L, 109L, 109L, 109L,
109L, 109L, 109L, 109L, 109L, 110L, 110L, 110L, 110L, 110L, 110L,
110L, 110L, 110L, 110L, 110L, 110L, 110L, 111L, 111L, 111L, 111L,
111L, 111L, 111L, 111L, 112L, 112L, 112L, 112L, 112L, 112L, 112L,
112L, 112L, 112L, 113L, 113L, 113L, 113L, 113L, 113L, 113L, 114L,
114L, 114L, 114L, 114L, 114L, 114L, 114L, 115L, 115L, 115L, 115L,
115L, 115L, 115L, 115L, 115L, 115L, 116L, 116L, 116L, 116L, 116L,
116L, 116L, 116L, 116L, 116L, 116L, 116L, 117L, 117L, 117L, 117L,
117L, 117L, 117L, 117L, 117L, 117L, 118L, 118L, 118L, 118L, 118L,
118L, 118L, 118L, 118L, 118L, 118L, 118L, 118L, 119L, 119L, 119L,
119L, 119L, 119L, 119L, 119L, 120L, 120L, 120L, 120L, 120L, 120L,
121L, 121L, 121L, 121L, 121L, 121L, 121L, 121L, 121L, 121L, 122L,
122L, 122L, 122L, 122L, 123L, 123L, 123L, 123L, 123L, 123L, 123L,
123L, 124L, 124L, 124L, 124L, 124L, 124L, 124L, 124L, 125L, 125L,
125L, 125L, 125L, 125L, 125L, 125L, 126L, 126L, 126L, 126L, 126L,
126L, 126L, 126L, 127L, 127L, 127L, 127L, 127L, 127L, 128L, 128L,
128L, 128L, 128L, 128L, 128L, 129L, 129L, 129L, 129L, 129L, 129L,
129L, 129L, 129L, 129L, 130L, 130L, 130L, 130L, 130L, 130L, 130L,
130L, 130L, 131L, 131L, 131L, 131L, 131L, 131L, 131L, 132L, 132L,
132L, 132L, 132L, 132L, 132L, 133L, 133L, 133L, 133L, 133L, 133L,
133L, 133L, 134L, 134L, 134L, 134L, 134L, 134L, 135L, 135L, 135L,
135L, 135L, 135L, 135L, 135L, 135L, 135L, 135L, 135L, 135L, 135L,
135L, 135L, 135L, 135L, 136L, 136L, 136L, 136L, 136L, 136L, 136L,
137L, 137L, 137L, 137L, 137L, 137L, 137L, 137L, 138L, 138L, 138L,
138L, 138L, 138L, 138L, 139L, 139L, 139L, 139L, 139L, 139L), .Label = c("H01",
"H02", "H03", "H04", "H05", "H06", "H07", "H08", "H09", "H10",
"H11", "H12", "H13", "H14", "H15", "H16", "H17", "H18", "H19",
"H20", "H21", "H22", "H23", "H24", "H25", "H26", "H27", "H28",
"H29", "H30", "H31", "H32", "H33", "H34", "H35", "H36", "H37",
"H38", "H39", "H40", "H41", "H42", "H43", "H44", "H45", "H46",
"H47", "H48", "H49", "L01", "L02", "L03", "L04", "L05", "L06",
"L07", "L08", "L09", "L10", "L11", "L12", "L13", "L14", "L15",
"L16", "L17", "L18", "L19", "L20", "L21", "L22", "L23", "L24",
"L25", "L26", "L27", "L28", "L29", "L30", "L31", "L32", "L33",
"L34", "L35", "L36", "L37", "L38", "L39", "L40", "L41", "L42",
"L43", "L44", "L45", "O01", "O02", "O03", "O04", "O05", "O06",
"O07", "O08", "O09", "O10", "O11", "O12", "O13", "O14", "O15",
"O16", "O17", "O18", "O19", "O20", "O21", "O22", "O23", "O24",
"O25", "O26", "O27", "O28", "O29", "O30", "O31", "O32", "O33",
"O34", "O35", "O36", "O37", "O38", "O39", "O40", "O41", "O42",
"O43", "O44", "O45"), class = "factor"), species = structure(c(26L,
42L, 46L, 47L, 48L, 50L, 52L, 53L, 62L, 20L, 50L, 61L, 62L, 4L,
20L, 26L, 34L, 37L, 46L, 50L, 52L, 53L, 56L, 58L, 61L, 62L, 20L,
50L, 62L, 13L, 20L, 50L, 53L, 61L, 4L, 20L, 34L, 35L, 46L, 50L,
58L, 61L, 62L, 4L, 13L, 20L, 50L, 56L, 61L, 62L, 8L, 20L, 39L,
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5L, 8L, 14L, 29L, 39L, 40L, 44L, 47L, 50L, 52L, 62L, 4L, 8L,
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40L, 44L, 46L, 47L, 49L, 50L, 52L, 62L, 6L, 8L, 10L, 14L, 16L,
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52L, 4L, 32L, 43L, 47L, 50L, 52L, 62L, 4L, 12L, 20L, 47L, 50L,
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52L, 56L, 58L, 62L, 7L, 13L, 32L, 47L, 50L, 52L, 62L, 5L, 7L,
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8L, 9L, 12L, 39L, 47L, 50L, 52L, 9L, 12L, 39L, 40L, 47L, 50L,
52L, 62L, 9L, 12L, 24L, 39L, 47L, 52L, 62L, 6L, 12L, 40L, 47L,
50L, 52L), .Label = c("albleb", "albodo", "antgha", "apovil",
"artlak", "briret", "buclan", "cansub", "carsph", "catspa", "cropoi",
"dalcul", "dallan", "dalnig", "daloli", "dilobo", "dioehr", "diomal",
"dipint", "diptub", "elltom", "erican", "erysuc", "flesoo", "garcow",
"garobt", "garsoo", "gmearb", "greeri", "halcor", "holpub", "irvoli",
"lancor", "lopdup", "mancal", "memedu", "memscu", "milleu", "mitrot",
"morcor", "ochint", "parama", "pavtom", "permem", "phycol", "phyemb",
"ptemac", "rotwit", "schole", "shoobt", "shorox", "shosia", "sinsia",
"stegut", "steneu", "strnux", "symrac", "syz001", "terala", "tercal",
"terche", "xylxyl"), class = "factor"), occurrence = c(1L, 1L,
1L, 14L, 1L, 10L, 10L, 1L, 1L, 1L, 4L, 1L, 7L, 3L, 3L, 1L, 1L,
1L, 1L, 9L, 1L, 1L, 1L, 3L, 5L, 1L, 1L, 1L, 5L, 1L, 1L, 4L, 1L,
1L, 3L, 4L, 1L, 2L, 1L, 9L, 1L, 2L, 6L, 1L, 1L, 10L, 6L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 3L, 2L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 10L, 21L, 1L, 24L, 5L, 1L, 2L, 3L,
10L, 10L, 1L, 1L, 2L, 1L, 1L, 1L, 10L, 14L, 31L, 1L, 1L, 1L,
3L, 1L, 1L, 4L, 1L, 1L, 2L, 4L, 1L, 1L, 2L, 1L, 3L, 2L, 2L, 2L,
1L, 6L, 13L, 16L, 6L, 1L, 1L, 16L, 3L, 1L, 2L, 3L, 5L, 3L, 2L,
1L, 28L, 10L, 2L, 1L, 1L, 1L, 1L, 5L, 1L, 1L, 51L, 20L, 1L, 9L,
5L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 4L, 1L, 12L, 38L, 13L, 3L, 1L,
1L, 2L, 1L, 1L, 1L, 9L, 10L, 10L, 3L, 1L, 2L, 1L, 1L, 1L, 3L,
40L, 13L, 1L, 1L, 1L, 16L, 52L, 1L, 6L, 2L, 1L, 1L, 1L, 16L,
17L, 3L, 1L, 7L, 1L, 8L, 1L, 48L, 8L, 2L, 1L, 5L, 1L, 3L, 1L,
1L, 1L, 1L, 3L, 3L, 1L, 1L, 4L, 14L, 1L, 1L, 2L, 9L, 10L, 1L,
6L, 1L, 1L, 26L, 3L, 2L, 20L, 10L, 1L, 1L, 2L, 1L, 1L, 11L, 2L,
1L, 1L, 1L, 2L, 1L, 28L, 14L, 3L, 1L, 1L, 1L, 16L, 7L, 3L, 3L,
1L, 1L, 8L, 5L, 3L, 1L, 1L, 2L, 4L, 17L, 5L, 1L, 1L, 5L, 3L,
1L, 1L, 4L, 17L, 1L, 1L, 2L, 4L, 1L, 1L, 1L, 1L, 3L, 21L, 5L,
1L, 3L, 1L, 1L, 1L, 1L, 2L, 4L, 1L, 18L, 6L, 4L, 2L, 1L, 1L,
14L, 13L, 4L, 2L, 2L, 1L, 1L, 1L, 3L, 9L, 2L, 1L, 1L, 1L, 3L,
28L, 9L, 6L, 1L, 1L, 1L, 3L, 1L, 7L, 9L, 6L, 1L, 4L, 1L, 2L,
1L, 1L, 1L, 1L, 3L, 2L, 2L, 6L, 2L, 1L, 1L, 1L, 5L, 10L, 1L,
1L, 5L, 4L, 1L, 1L, 4L, 1L, 4L, 1L, 1L, 1L, 1L, 2L, 3L, 2L, 9L,
1L, 1L, 1L, 7L, 1L, 1L, 2L, 6L, 1L, 3L, 1L, 5L, 20L, 11L, 2L,
2L, 1L, 3L, 1L, 1L, 2L, 1L, 1L, 2L, 3L, 1L, 1L, 3L, 1L, 1L, 6L,
18L, 9L, 1L, 1L, 1L, 6L, 16L, 12L, 3L, 4L, 2L, 1L, 1L, 2L, 1L,
1L, 1L, 8L, 2L, 18L, 27L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L,
1L, 2L, 12L, 21L, 3L, 3L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L,
18L, 1L, 5L, 4L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 3L,
19L, 1L, 12L, 3L, 1L, 1L, 1L, 2L, 3L, 15L, 14L, 2L, 2L, 1L, 1L,
2L, 1L, 1L, 1L, 5L, 17L, 14L, 2L, 1L, 1L, 1L, 1L, 11L, 2L, 9L,
15L, 2L, 4L, 5L, 2L, 1L, 2L, 2L, 1L, 6L, 13L, 1L, 1L, 2L, 1L,
1L, 4L, 7L, 1L, 4L, 2L, 13L, 1L, 3L, 1L, 3L, 2L, 1L, 1L, 3L,
4L, 9L, 1L, 1L, 2L, 2L, 1L, 2L, 4L, 4L, 27L, 3L, 1L, 1L, 1L,
1L, 1L, 1L, 5L, 2L, 14L, 1L, 1L, 5L, 5L, 20L, 1L, 1L, 1L, 3L,
1L, 2L, 15L, 12L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, 3L, 8L, 2L, 1L,
5L, 1L, 3L, 34L, 7L, 1L, 1L, 2L, 3L, 2L, 23L, 8L, 1L, 2L, 1L,
1L, 3L, 20L, 8L, 1L, 2L, 1L, 11L, 1L, 9L, 3L, 2L, 2L, 1L, 1L,
2L, 1L, 12L, 9L, 1L, 5L, 1L, 2L, 1L, 1L, 3L, 15L, 5L, 1L, 2L,
1L, 1L, 1L, 3L, 35L, 15L, 1L, 1L, 1L, 2L, 1L, 2L, 6L, 7L, 2L,
3L, 2L, 1L, 20L, 13L, 4L, 1L, 1L, 1L, 14L, 9L, 1L, 2L, 2L, 1L,
2L, 25L, 10L, 2L, 1L, 1L, 1L, 11L, 14L, 2L, 1L, 1L, 1L, 1L, 2L,
1L, 12L, 10L, 7L, 1L, 2L, 13L, 23L, 1L, 3L, 3L, 15L, 12L, 2L,
1L, 1L, 1L, 14L, 8L, 1L, 4L, 1L, 2L, 1L, 1L, 30L, 32L, 1L, 2L,
1L, 1L, 1L, 3L, 16L, 2L, 1L, 2L, 1L, 2L, 26L, 5L, 3L, 7L, 4L,
27L, 4L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 29L, 5L, 1L, 1L, 1L, 2L,
24L, 14L, 3L, 1L, 1L, 1L, 1L, 1L, 4L, 16L, 10L, 1L, 1L, 4L, 2L,
1L, 1L, 4L, 24L, 9L, 1L, 1L, 1L, 3L, 1L, 8L, 27L, 6L, 2L, 1L,
1L, 1L, 5L, 18L, 8L, 3L, 1L, 1L, 1L, 1L, 1L, 4L, 24L, 6L, 2L,
4L, 1L, 6L, 9L, 6L, 4L, 1L, 1L, 4L, 2L, 1L, 3L, 1L, 1L, 3L, 2L,
1L, 2L, 2L, 6L, 2L, 1L, 6L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
27L, 38L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 29L, 18L, 1L, 1L,
5L, 1L, 1L, 1L, 1L, 1L, 2L, 17L, 6L, 1L, 1L, 2L, 1L, 3L, 1L,
1L, 18L, 43L, 1L, 1L, 3L, 3L, 1L, 1L, 4L, 1L, 19L, 16L, 1L, 2L,
1L, 2L, 1L, 1L, 3L, 19L, 10L, 1L, 1L, 1L, 2L, 1L, 1L, 15L, 20L,
4L, 1L, 2L, 1L, 5L, 10L, 4L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 41L,
30L, 7L, 2L, 1L, 1L, 7L, 29L, 1L, 5L, 3L, 2L, 1L, 1L, 1L, 2L,
2L, 1L, 1L, 1L, 6L, 8L, 16L, 1L, 2L, 2L, 1L, 3L, 2L, 23L, 1L,
6L, 1L, 1L, 1L, 1L, 2L, 4L, 2L, 7L, 1L, 7L, 7L, 6L, 1L, 3L, 1L,
1L, 2L, 2L, 2L, 1L, 8L, 5L, 1L, 5L, 1L, 3L, 7L, 3L, 10L, 2L,
2L, 1L, 1L, 1L, 4L, 2L, 4L, 1L, 1L, 1L, 9L, 8L, 62L, 1L, 1L,
1L, 1L, 8L, 11L, 2L, 1L, 1L, 1L, 1L, 4L, 7L, 7L, 4L, 3L, 1L,
1L, 1L, 1L, 1L, 2L, 5L, 26L, 46L, 3L, 1L, 2L, 2L, 1L, 1L, 2L,
1L, 9L, 15L, 1L, 6L, 1L, 1L, 4L, 7L, 2L, 1L, 14L, 3L, 19L, 12L,
2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 5L, 23L, 12L, 1L, 1L, 1L, 1L,
1L, 4L, 1L, 10L, 24L, 8L, 2L, 1L, 1L, 1L, 4L, 20L, 1L, 1L, 4L,
1L, 2L, 1L, 1L, 34L, 1L, 3L, 5L, 1L, 1L, 4L, 15L, 11L, 1L, 1L,
1L, 1L, 1L, 2L, 9L, 2L, 1L, 1L, 1L, 1L, 3L, 4L, 4L, 8L, 2L, 5L,
7L, 1L, 1L, 6L, 8L, 3L, 1L, 1L, 1L, 1L, 16L, 8L, 1L, 1L, 1L,
1L, 2L, 16L, 3L, 2L, 1L, 1L, 1L, 1L, 25L, 14L, 1L, 1L, 4L, 1L,
2L, 1L, 1L, 1L, 15L, 7L, 3L, 3L, 3L, 1L, 1L, 1L, 2L, 16L, 5L,
3L, 4L, 1L, 1L, 1L, 28L, 8L, 3L, 2L, 1L, 2L, 28L, 27L, 1L, 3L,
2L, 3L, 1L, 1L, 2L, 10L, 2L, 10L, 1L, 1L, 1L, 54L, 5L, 5L, 4L,
1L, 4L, 1L, 1L, 1L, 1L, 1L, 5L, 1L, 6L, 2L, 1L, 6L, 5L, 8L, 1L,
4L, 1L, 1L, 1L, 1L, 1L, 17L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 8L,
1L, 1L, 1L, 1L, 1L, 2L, 9L, 2L, 1L, 5L, 2L, 5L, 7L, 28L)), .Names = c("plot",
"species", "occurrence"), class = c("data.table", "data.frame"
), row.names = c(NA, -1148L), .internal.selfref = <pointer: 0x0000000007b70788>)
答案 0 :(得分：0)
将default = 0作为参数添加到现有代码中：
LoggAbundTGLMSOagg <- tapply(AbundTGLMSOagg$occurrence,list
(AbundTGLMSOagg$plot,AbundTGLMSOagg$species),mean, default = 0)
有关详细信息，请参阅?tapply。
编辑：或者，将其作为另一种解决方案：How do I replace NA values with zeros in an R dataframe?