在 R 中使用 dplyr 汇总函数时不显示小数位
Decimal places not showing when using dplyr summarize function in R
我想计算 2019 年国联东区每个位置首发次数最多的球员的平均安打数。 NLeast_starters 数据集中有 40 名玩家，平均命中数为 123.75，但是当我 运行 我的 R 代码时，我的结果只有 124。小数位不显示。
sum3 <- NLeast_starters %>% summarize(mean_hits = round(mean(H),5))
这是我的输入：
> dput(NLeast_starters)
structure(list(Team = structure(c(3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L), .Label = c("Braves", "Marlins", "Mets", "Nats", "Phils"), class = "factor"),
Pos = structure(c(4L, 1L, 2L, 8L, 3L, 6L, 5L, 7L, 4L, 1L,
2L, 8L, 3L, 6L, 5L, 7L, 4L, 1L, 2L, 8L, 3L, 6L, 5L, 7L, 4L,
1L, 2L, 8L, 3L, 6L, 5L, 7L, 4L, 1L, 2L, 8L, 3L, 6L, 5L, 7L
), .Label = c("1B", "2B", "3B", "C", "CF", "LF", "RF", "SS"
), class = "factor"), Name = structure(c(39L, 29L, 31L, 2L,
35L, 15L, 20L, 25L, 16L, 30L, 9L, 17L, 23L, 3L, 33L, 8L,
37L, 12L, 28L, 11L, 19L, 5L, 32L, 27L, 40L, 24L, 7L, 36L,
4L, 21L, 38L, 1L, 18L, 13L, 34L, 26L, 6L, 10L, 22L, 14L), .Label = c("Adam Eaton",
"Amed Rosario", "Andrew McCutchen", "Anthony Rendon", "Austin Riley",
"Brian Anderson", "Brian Dozier", "Bryce Harper", "Cesar Hernandez",
"Curtis Granderson", "Dansby Swanson", "Freddie Freeman",
"Garrett Cooper", "Harold Ramirez", "J.D. Davis", "J.T. Realmuto",
"Jean Segura", "Jorge Alfaro", "Josh Donaldson", "Juan Lagares",
"Juan Soto", "Lewis Brinson", "Maikel Franco", "Matt Adams",
"Michael Conforto", "Miguel Rojas", "Nick Markakis", "Ozzie Albies",
"Pete Alonso", "Rhys Hoskins", "Robinson Cano", "Ronald Acuna Jr.",
"Scott Kingery", "Starlin Castro", "Todd Frazier", "Trea Turner",
"Tyler Flowers", "Victor Robles", "Wilson Ramos", "Yan Gomes"
), class = "factor"), Age = c(31L, 24L, 36L, 23L, 33L, 26L,
30L, 26L, 28L, 26L, 29L, 29L, 26L, 32L, 25L, 26L, 33L, 29L,
22L, 25L, 33L, 22L, 21L, 35L, 31L, 30L, 32L, 26L, 29L, 20L,
22L, 30L, 26L, 28L, 29L, 30L, 26L, 38L, 25L, 24L), G = c(141L,
161L, 107L, 157L, 133L, 140L, 133L, 151L, 145L, 160L, 161L,
144L, 123L, 59L, 126L, 157L, 85L, 158L, 160L, 127L, 155L,
80L, 156L, 116L, 97L, 111L, 135L, 122L, 146L, 150L, 155L,
151L, 130L, 107L, 162L, 132L, 126L, 138L, 75L, 119L), PA = c(524L,
693L, 423L, 655L, 499L, 453L, 285L, 648L, 593L, 705L, 667L,
618L, 428L, 262L, 500L, 682L, 310L, 692L, 702L, 545L, 659L,
297L, 715L, 469L, 358L, 333L, 482L, 569L, 646L, 659L, 617L,
656L, 465L, 421L, 676L, 526L, 520L, 363L, 248L, 446L), AB = c(473L,
597L, 390L, 616L, 447L, 410L, 258L, 549L, 538L, 570L, 612L,
576L, 389L, 219L, 458L, 573L, 271L, 597L, 640L, 483L, 549L,
274L, 626L, 414L, 314L, 310L, 416L, 521L, 545L, 542L, 546L,
566L, 431L, 381L, 636L, 483L, 459L, 317L, 226L, 421L), R = c(52L,
103L, 46L, 75L, 63L, 65L, 38L, 90L, 92L, 86L, 77L, 79L, 48L,
45L, 64L, 98L, 36L, 113L, 102L, 77L, 96L, 41L, 127L, 61L,
36L, 42L, 54L, 96L, 117L, 110L, 86L, 103L, 44L, 52L, 68L,
52L, 57L, 44L, 15L, 54L), H = c(136L, 155L, 100L, 177L, 112L,
126L, 55L, 141L, 148L, 129L, 171L, 161L, 91L, 56L, 118L,
149L, 62L, 176L, 189L, 121L, 142L, 62L, 175L, 118L, 70L,
70L, 99L, 155L, 174L, 153L, 139L, 158L, 113L, 107L, 172L,
137L, 120L, 58L, 39L, 116L), X2B = c(19L, 30L, 28L, 30L,
19L, 22L, 12L, 29L, 36L, 33L, 31L, 37L, 17L, 12L, 34L, 36L,
11L, 34L, 43L, 26L, 33L, 11L, 22L, 25L, 16L, 14L, 20L, 37L,
44L, 32L, 33L, 25L, 14L, 16L, 31L, 29L, 33L, 17L, 9L, 20L
), X3B = c(0L, 2L, 0L, 7L, 2L, 1L, 1L, 1L, 3L, 5L, 3L, 4L,
0L, 1L, 4L, 1L, 3L, 2L, 8L, 3L, 0L, 1L, 2L, 2L, 0L, 0L, 0L,
5L, 3L, 5L, 3L, 7L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 3L), HR = c(14L,
53L, 13L, 15L, 21L, 22L, 5L, 33L, 25L, 29L, 14L, 12L, 17L,
10L, 19L, 35L, 11L, 38L, 24L, 17L, 37L, 18L, 41L, 9L, 12L,
20L, 20L, 19L, 34L, 34L, 17L, 15L, 18L, 15L, 22L, 5L, 20L,
12L, 0L, 11L), RBI = c(73L, 120L, 39L, 72L, 67L, 57L, 27L,
92L, 83L, 85L, 71L, 60L, 56L, 29L, 55L, 114L, 34L, 121L,
86L, 65L, 94L, 49L, 101L, 62L, 43L, 56L, 50L, 57L, 126L,
110L, 65L, 49L, 57L, 50L, 86L, 46L, 66L, 34L, 15L, 50L),
SB = c(1L, 1L, 0L, 19L, 1L, 3L, 4L, 7L, 9L, 2L, 9L, 10L,
0L, 2L, 15L, 15L, 0L, 6L, 15L, 10L, 4L, 0L, 37L, 2L, 2L,
0L, 3L, 35L, 5L, 12L, 28L, 15L, 4L, 0L, 2L, 9L, 5L, 0L, 1L,
2L), CS = c(0L, 0L, 0L, 10L, 2L, 0L, 1L, 2L, 1L, 2L, 2L,
2L, 0L, 1L, 4L, 3L, 0L, 3L, 4L, 5L, 2L, 2L, 9L, 0L, 0L, 0L,
4L, 5L, 1L, 1L, 9L, 3L, 4L, 0L, 2L, 5L, 1L, 3L, 1L, 1L),
BB = c(44L, 72L, 25L, 31L, 40L, 38L, 22L, 84L, 41L, 116L,
45L, 30L, 36L, 43L, 34L, 99L, 31L, 87L, 54L, 51L, 100L, 16L,
76L, 47L, 38L, 20L, 61L, 43L, 80L, 108L, 35L, 65L, 22L, 33L,
28L, 32L, 44L, 41L, 13L, 18L), SO = c(69L, 183L, 69L, 124L,
106L, 97L, 75L, 149L, 123L, 173L, 100L, 73L, 61L, 55L, 147L,
178L, 105L, 127L, 112L, 124L, 155L, 108L, 188L, 59L, 84L,
115L, 105L, 113L, 86L, 132L, 140L, 106L, 154L, 110L, 111L,
62L, 114L, 98L, 74L, 91L), BA = c(0.288, 0.26, 0.256, 0.287,
0.251, 0.307, 0.213, 0.257, 0.275, 0.226, 0.279, 0.28, 0.234,
0.256, 0.258, 0.26, 0.229, 0.295, 0.295, 0.251, 0.259, 0.226,
0.28, 0.285, 0.223, 0.226, 0.238, 0.298, 0.319, 0.282, 0.255,
0.279, 0.262, 0.281, 0.27, 0.284, 0.261, 0.183, 0.173, 0.276
), OBP = c(0.351, 0.358, 0.307, 0.323, 0.329, 0.369, 0.279,
0.363, 0.328, 0.364, 0.333, 0.323, 0.297, 0.378, 0.315, 0.372,
0.319, 0.389, 0.352, 0.325, 0.379, 0.279, 0.365, 0.356, 0.316,
0.276, 0.34, 0.353, 0.412, 0.401, 0.326, 0.365, 0.312, 0.344,
0.3, 0.331, 0.342, 0.281, 0.236, 0.312), SLG = c(0.416, 0.583,
0.428, 0.432, 0.443, 0.527, 0.326, 0.494, 0.493, 0.454, 0.408,
0.42, 0.409, 0.457, 0.474, 0.51, 0.413, 0.549, 0.5, 0.422,
0.521, 0.471, 0.518, 0.42, 0.389, 0.465, 0.43, 0.497, 0.598,
0.548, 0.419, 0.428, 0.425, 0.446, 0.436, 0.379, 0.468, 0.356,
0.221, 0.416), OPS = c(0.768, 0.941, 0.736, 0.755, 0.772,
0.895, 0.605, 0.856, 0.82, 0.819, 0.741, 0.743, 0.705, 0.834,
0.788, 0.882, 0.733, 0.938, 0.852, 0.748, 0.9, 0.75, 0.883,
0.776, 0.704, 0.741, 0.771, 0.85, 1.01, 0.949, 0.745, 0.792,
0.736, 0.791, 0.736, 0.71, 0.811, 0.637, 0.457, 0.728), OPS. = c(107L,
148L, 96L, 102L, 106L, 138L, 63L, 128L, 108L, 110L, 91L,
90L, 80L, 115L, 100L, 125L, 86L, 136L, 114L, 89L, 127L, 86L,
122L, 98L, 78L, 83L, 95L, 113L, 153L, 138L, 88L, 101L, 95L,
110L, 94L, 90L, 114L, 69L, 24L, 93L), TB = c(197L, 348L,
167L, 266L, 198L, 216L, 84L, 271L, 265L, 259L, 250L, 242L,
159L, 100L, 217L, 292L, 112L, 328L, 320L, 204L, 286L, 129L,
324L, 174L, 122L, 144L, 179L, 259L, 326L, 297L, 229L, 242L,
183L, 170L, 277L, 183L, 215L, 113L, 50L, 175L), GDP = c(16L,
13L, 16L, 13L, 9L, 14L, 8L, 11L, 12L, 10L, 9L, 11L, 14L,
1L, 3L, 10L, 8L, 17L, 2L, 7L, 13L, 4L, 8L, 11L, 7L, 7L, 11L,
10L, 13L, 11L, 6L, 8L, 12L, 10L, 23L, 15L, 15L, 3L, 8L, 8L
), HBP = c(4L, 21L, 5L, 3L, 12L, 3L, 2L, 10L, 5L, 11L, 6L,
8L, 0L, 0L, 5L, 6L, 6L, 6L, 4L, 5L, 8L, 5L, 9L, 2L, 5L, 2L,
4L, 3L, 12L, 3L, 25L, 13L, 10L, 5L, 3L, 5L, 14L, 3L, 6L,
5L), SH = c(0L, 0L, 0L, 2L, 0L, 0L, 2L, 0L, 0L, 0L, 0L, 1L,
0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 6L, 9L, 0L, 0L, 0L, 1L, 0L, 0L, 2L, 0L), SF = c(3L,
3L, 3L, 3L, 0L, 2L, 1L, 5L, 8L, 6L, 4L, 3L, 3L, 0L, 2L, 4L,
2L, 2L, 4L, 5L, 2L, 2L, 1L, 6L, 1L, 1L, 1L, 2L, 9L, 6L, 5L,
3L, 2L, 2L, 9L, 5L, 3L, 2L, 1L, 1L), IBB = c(5L, 6L, 3L,
2L, 1L, 2L, 4L, 5L, 2L, 6L, 4L, 1L, 19L, 0L, 1L, 11L, 3L,
11L, 6L, 2L, 2L, 3L, 4L, 1L, 6L, 1L, 2L, 2L, 8L, 3L, 3L,
0L, 1L, 0L, 2L, 2L, 1L, 1L, 1L, 1L)), class = "data.frame", row.names = c(NA,
-40L))
我查看了其他帖子，但没有找到适合我的答案。
问题出在您环境中的设置，该设置控制打印时要显示的位数，可以通过控制台中的 运行ning options(digits = 5) 或任何更高的数字（最多 22）进行更改.
来自?options
digits:
controls the number of significant (see signif) digits to print when printing numeric values. It is a suggestion only. Valid values are 1...22 with default 7.
如果你这样做之后 运行
library(dplyr)
NLeast_starters %>% summarize(mean_hits = round(mean(H),5))
# mean_hits
#1 123.75
您将获得预期的小数位显示。
我想计算 2019 年国联东区每个位置首发次数最多的球员的平均安打数。 NLeast_starters 数据集中有 40 名玩家，平均命中数为 123.75，但是当我 运行 我的 R 代码时，我的结果只有 124。小数位不显示。
sum3 <- NLeast_starters %>% summarize(mean_hits = round(mean(H),5))
这是我的输入：
> dput(NLeast_starters)
structure(list(Team = structure(c(3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L), .Label = c("Braves", "Marlins", "Mets", "Nats", "Phils"), class = "factor"),
Pos = structure(c(4L, 1L, 2L, 8L, 3L, 6L, 5L, 7L, 4L, 1L,
2L, 8L, 3L, 6L, 5L, 7L, 4L, 1L, 2L, 8L, 3L, 6L, 5L, 7L, 4L,
1L, 2L, 8L, 3L, 6L, 5L, 7L, 4L, 1L, 2L, 8L, 3L, 6L, 5L, 7L
), .Label = c("1B", "2B", "3B", "C", "CF", "LF", "RF", "SS"
), class = "factor"), Name = structure(c(39L, 29L, 31L, 2L,
35L, 15L, 20L, 25L, 16L, 30L, 9L, 17L, 23L, 3L, 33L, 8L,
37L, 12L, 28L, 11L, 19L, 5L, 32L, 27L, 40L, 24L, 7L, 36L,
4L, 21L, 38L, 1L, 18L, 13L, 34L, 26L, 6L, 10L, 22L, 14L), .Label = c("Adam Eaton",
"Amed Rosario", "Andrew McCutchen", "Anthony Rendon", "Austin Riley",
"Brian Anderson", "Brian Dozier", "Bryce Harper", "Cesar Hernandez",
"Curtis Granderson", "Dansby Swanson", "Freddie Freeman",
"Garrett Cooper", "Harold Ramirez", "J.D. Davis", "J.T. Realmuto",
"Jean Segura", "Jorge Alfaro", "Josh Donaldson", "Juan Lagares",
"Juan Soto", "Lewis Brinson", "Maikel Franco", "Matt Adams",
"Michael Conforto", "Miguel Rojas", "Nick Markakis", "Ozzie Albies",
"Pete Alonso", "Rhys Hoskins", "Robinson Cano", "Ronald Acuna Jr.",
"Scott Kingery", "Starlin Castro", "Todd Frazier", "Trea Turner",
"Tyler Flowers", "Victor Robles", "Wilson Ramos", "Yan Gomes"
), class = "factor"), Age = c(31L, 24L, 36L, 23L, 33L, 26L,
30L, 26L, 28L, 26L, 29L, 29L, 26L, 32L, 25L, 26L, 33L, 29L,
22L, 25L, 33L, 22L, 21L, 35L, 31L, 30L, 32L, 26L, 29L, 20L,
22L, 30L, 26L, 28L, 29L, 30L, 26L, 38L, 25L, 24L), G = c(141L,
161L, 107L, 157L, 133L, 140L, 133L, 151L, 145L, 160L, 161L,
144L, 123L, 59L, 126L, 157L, 85L, 158L, 160L, 127L, 155L,
80L, 156L, 116L, 97L, 111L, 135L, 122L, 146L, 150L, 155L,
151L, 130L, 107L, 162L, 132L, 126L, 138L, 75L, 119L), PA = c(524L,
693L, 423L, 655L, 499L, 453L, 285L, 648L, 593L, 705L, 667L,
618L, 428L, 262L, 500L, 682L, 310L, 692L, 702L, 545L, 659L,
297L, 715L, 469L, 358L, 333L, 482L, 569L, 646L, 659L, 617L,
656L, 465L, 421L, 676L, 526L, 520L, 363L, 248L, 446L), AB = c(473L,
597L, 390L, 616L, 447L, 410L, 258L, 549L, 538L, 570L, 612L,
576L, 389L, 219L, 458L, 573L, 271L, 597L, 640L, 483L, 549L,
274L, 626L, 414L, 314L, 310L, 416L, 521L, 545L, 542L, 546L,
566L, 431L, 381L, 636L, 483L, 459L, 317L, 226L, 421L), R = c(52L,
103L, 46L, 75L, 63L, 65L, 38L, 90L, 92L, 86L, 77L, 79L, 48L,
45L, 64L, 98L, 36L, 113L, 102L, 77L, 96L, 41L, 127L, 61L,
36L, 42L, 54L, 96L, 117L, 110L, 86L, 103L, 44L, 52L, 68L,
52L, 57L, 44L, 15L, 54L), H = c(136L, 155L, 100L, 177L, 112L,
126L, 55L, 141L, 148L, 129L, 171L, 161L, 91L, 56L, 118L,
149L, 62L, 176L, 189L, 121L, 142L, 62L, 175L, 118L, 70L,
70L, 99L, 155L, 174L, 153L, 139L, 158L, 113L, 107L, 172L,
137L, 120L, 58L, 39L, 116L), X2B = c(19L, 30L, 28L, 30L,
19L, 22L, 12L, 29L, 36L, 33L, 31L, 37L, 17L, 12L, 34L, 36L,
11L, 34L, 43L, 26L, 33L, 11L, 22L, 25L, 16L, 14L, 20L, 37L,
44L, 32L, 33L, 25L, 14L, 16L, 31L, 29L, 33L, 17L, 9L, 20L
), X3B = c(0L, 2L, 0L, 7L, 2L, 1L, 1L, 1L, 3L, 5L, 3L, 4L,
0L, 1L, 4L, 1L, 3L, 2L, 8L, 3L, 0L, 1L, 2L, 2L, 0L, 0L, 0L,
5L, 3L, 5L, 3L, 7L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 3L), HR = c(14L,
53L, 13L, 15L, 21L, 22L, 5L, 33L, 25L, 29L, 14L, 12L, 17L,
10L, 19L, 35L, 11L, 38L, 24L, 17L, 37L, 18L, 41L, 9L, 12L,
20L, 20L, 19L, 34L, 34L, 17L, 15L, 18L, 15L, 22L, 5L, 20L,
12L, 0L, 11L), RBI = c(73L, 120L, 39L, 72L, 67L, 57L, 27L,
92L, 83L, 85L, 71L, 60L, 56L, 29L, 55L, 114L, 34L, 121L,
86L, 65L, 94L, 49L, 101L, 62L, 43L, 56L, 50L, 57L, 126L,
110L, 65L, 49L, 57L, 50L, 86L, 46L, 66L, 34L, 15L, 50L),
SB = c(1L, 1L, 0L, 19L, 1L, 3L, 4L, 7L, 9L, 2L, 9L, 10L,
0L, 2L, 15L, 15L, 0L, 6L, 15L, 10L, 4L, 0L, 37L, 2L, 2L,
0L, 3L, 35L, 5L, 12L, 28L, 15L, 4L, 0L, 2L, 9L, 5L, 0L, 1L,
2L), CS = c(0L, 0L, 0L, 10L, 2L, 0L, 1L, 2L, 1L, 2L, 2L,
2L, 0L, 1L, 4L, 3L, 0L, 3L, 4L, 5L, 2L, 2L, 9L, 0L, 0L, 0L,
4L, 5L, 1L, 1L, 9L, 3L, 4L, 0L, 2L, 5L, 1L, 3L, 1L, 1L),
BB = c(44L, 72L, 25L, 31L, 40L, 38L, 22L, 84L, 41L, 116L,
45L, 30L, 36L, 43L, 34L, 99L, 31L, 87L, 54L, 51L, 100L, 16L,
76L, 47L, 38L, 20L, 61L, 43L, 80L, 108L, 35L, 65L, 22L, 33L,
28L, 32L, 44L, 41L, 13L, 18L), SO = c(69L, 183L, 69L, 124L,
106L, 97L, 75L, 149L, 123L, 173L, 100L, 73L, 61L, 55L, 147L,
178L, 105L, 127L, 112L, 124L, 155L, 108L, 188L, 59L, 84L,
115L, 105L, 113L, 86L, 132L, 140L, 106L, 154L, 110L, 111L,
62L, 114L, 98L, 74L, 91L), BA = c(0.288, 0.26, 0.256, 0.287,
0.251, 0.307, 0.213, 0.257, 0.275, 0.226, 0.279, 0.28, 0.234,
0.256, 0.258, 0.26, 0.229, 0.295, 0.295, 0.251, 0.259, 0.226,
0.28, 0.285, 0.223, 0.226, 0.238, 0.298, 0.319, 0.282, 0.255,
0.279, 0.262, 0.281, 0.27, 0.284, 0.261, 0.183, 0.173, 0.276
), OBP = c(0.351, 0.358, 0.307, 0.323, 0.329, 0.369, 0.279,
0.363, 0.328, 0.364, 0.333, 0.323, 0.297, 0.378, 0.315, 0.372,
0.319, 0.389, 0.352, 0.325, 0.379, 0.279, 0.365, 0.356, 0.316,
0.276, 0.34, 0.353, 0.412, 0.401, 0.326, 0.365, 0.312, 0.344,
0.3, 0.331, 0.342, 0.281, 0.236, 0.312), SLG = c(0.416, 0.583,
0.428, 0.432, 0.443, 0.527, 0.326, 0.494, 0.493, 0.454, 0.408,
0.42, 0.409, 0.457, 0.474, 0.51, 0.413, 0.549, 0.5, 0.422,
0.521, 0.471, 0.518, 0.42, 0.389, 0.465, 0.43, 0.497, 0.598,
0.548, 0.419, 0.428, 0.425, 0.446, 0.436, 0.379, 0.468, 0.356,
0.221, 0.416), OPS = c(0.768, 0.941, 0.736, 0.755, 0.772,
0.895, 0.605, 0.856, 0.82, 0.819, 0.741, 0.743, 0.705, 0.834,
0.788, 0.882, 0.733, 0.938, 0.852, 0.748, 0.9, 0.75, 0.883,
0.776, 0.704, 0.741, 0.771, 0.85, 1.01, 0.949, 0.745, 0.792,
0.736, 0.791, 0.736, 0.71, 0.811, 0.637, 0.457, 0.728), OPS. = c(107L,
148L, 96L, 102L, 106L, 138L, 63L, 128L, 108L, 110L, 91L,
90L, 80L, 115L, 100L, 125L, 86L, 136L, 114L, 89L, 127L, 86L,
122L, 98L, 78L, 83L, 95L, 113L, 153L, 138L, 88L, 101L, 95L,
110L, 94L, 90L, 114L, 69L, 24L, 93L), TB = c(197L, 348L,
167L, 266L, 198L, 216L, 84L, 271L, 265L, 259L, 250L, 242L,
159L, 100L, 217L, 292L, 112L, 328L, 320L, 204L, 286L, 129L,
324L, 174L, 122L, 144L, 179L, 259L, 326L, 297L, 229L, 242L,
183L, 170L, 277L, 183L, 215L, 113L, 50L, 175L), GDP = c(16L,
13L, 16L, 13L, 9L, 14L, 8L, 11L, 12L, 10L, 9L, 11L, 14L,
1L, 3L, 10L, 8L, 17L, 2L, 7L, 13L, 4L, 8L, 11L, 7L, 7L, 11L,
10L, 13L, 11L, 6L, 8L, 12L, 10L, 23L, 15L, 15L, 3L, 8L, 8L
), HBP = c(4L, 21L, 5L, 3L, 12L, 3L, 2L, 10L, 5L, 11L, 6L,
8L, 0L, 0L, 5L, 6L, 6L, 6L, 4L, 5L, 8L, 5L, 9L, 2L, 5L, 2L,
4L, 3L, 12L, 3L, 25L, 13L, 10L, 5L, 3L, 5L, 14L, 3L, 6L,
5L), SH = c(0L, 0L, 0L, 2L, 0L, 0L, 2L, 0L, 0L, 0L, 0L, 1L,
0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 6L, 9L, 0L, 0L, 0L, 1L, 0L, 0L, 2L, 0L), SF = c(3L,
3L, 3L, 3L, 0L, 2L, 1L, 5L, 8L, 6L, 4L, 3L, 3L, 0L, 2L, 4L,
2L, 2L, 4L, 5L, 2L, 2L, 1L, 6L, 1L, 1L, 1L, 2L, 9L, 6L, 5L,
3L, 2L, 2L, 9L, 5L, 3L, 2L, 1L, 1L), IBB = c(5L, 6L, 3L,
2L, 1L, 2L, 4L, 5L, 2L, 6L, 4L, 1L, 19L, 0L, 1L, 11L, 3L,
11L, 6L, 2L, 2L, 3L, 4L, 1L, 6L, 1L, 2L, 2L, 8L, 3L, 3L,
0L, 1L, 0L, 2L, 2L, 1L, 1L, 1L, 1L)), class = "data.frame", row.names = c(NA,
-40L))
我查看了其他帖子，但没有找到适合我的答案。
问题出在您环境中的设置，该设置控制打印时要显示的位数，可以通过控制台中的 运行ning options(digits = 5) 或任何更高的数字（最多 22）进行更改.
来自?options
digits: controls the number of significant (see signif) digits to print when printing numeric values. It is a suggestion only. Valid values are 1...22 with default 7.
如果你这样做之后 运行
library(dplyr)
NLeast_starters %>% summarize(mean_hits = round(mean(H),5))
# mean_hits
#1 123.75
您将获得预期的小数位显示。