x 轴未使用 difftime 和 ggplot 显示预期格式
x axis not showing expected format using difftime and ggplot
我想通过
的某个 ID 在各个方面绘制以天为单位的时差 (diff)
example <- example %>%
mutate(diff = difftime(ymd(date), ymd(phase_start), units = "days"))
ggplot(data = example) +
geom_col(aes(x= as.numeric(diff), y = as.factor(project_id)), width= 0.1) +
facet_wrap(~ phase_id, nrow = 1)
然而，虽然在 difftime 中指定，但 x 轴单位似乎并不代表天数。我什至不知道它显示的是什么比例，它应该在 0 到 400（天）之间——但是它是 0 到 30000。而且，差异在数据编辑器中显示正确的格式。我已经尝试了不同的计算差异时间的方法（即转换为日期并取差）。
请在下面找到一个可重现的示例。
# A tibble: 6 x 5
project_id phase_id date phase_start diff
<int> <int> <chr> <chr> <drtn>
1 0 0 2020-01-20 2020-01-20 0 days
2 0 0 2020-01-21 2020-01-20 1 days
3 0 0 2020-01-22 2020-01-20 2 days
4 0 0 2020-01-23 2020-01-20 3 days
5 0 0 2020-01-24 2020-01-20 4 days
6 0 0 2020-01-27 2020-01-20 7 days
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"2020-06-11", "2020-06-12", "2020-06-15", "2020-06-16", "2020-06-17",
"2020-06-18", "2020-06-19", "2020-06-22", "2020-06-23", "2020-06-24",
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"2020-07-02", "2020-07-03", "2020-07-06", "2020-07-07", "2020-07-08",
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"2020-08-20", "2020-08-21", "2020-08-24", "2020-08-25", "2020-08-26",
"2020-08-27", "2020-08-28", "2020-08-31", "2020-09-01", "2020-09-02",
"2020-09-03", "2020-09-04", "2020-09-07", "2020-09-08", "2020-09-09",
"2020-09-10", "2020-09-11", "2020-09-14", "2020-09-15", "2020-09-16",
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"2020-05-06", "2020-05-07", "2020-05-08", "2020-05-11", "2020-05-12",
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"2020-06-17", "2020-06-18", "2020-06-19", "2020-06-22", "2020-06-23",
"2020-06-24", "2020-06-25", "2020-06-26", "2020-06-29", "2020-06-30",
"2020-07-01", "2020-07-02", "2020-07-03", "2020-07-06", "2020-07-07",
"2020-07-08", "2020-07-09", "2020-07-10", "2020-07-13", "2020-07-14",
"2020-07-15", "2020-07-16", "2020-07-17", "2020-07-20", "2020-07-21",
"2020-07-22", "2020-07-23", "2020-07-24", "2020-07-27", "2020-07-28",
"2020-07-29", "2020-07-30", "2020-07-31", "2020-08-03", "2020-08-04",
"2020-08-05", "2020-08-06", "2020-08-07", "2020-08-10", "2020-08-11",
"2020-08-12", "2020-08-13", "2020-08-14", "2020-08-17", "2020-08-18",
"2020-08-19", "2020-08-20", "2020-08-21", "2020-08-24", "2020-08-25",
"2020-08-26", "2020-08-27", "2020-08-28", "2020-08-31", "2020-09-01",
"2020-09-02", "2020-09-03", "2020-09-04", "2020-09-07", "2020-09-08",
"2020-09-09", "2020-09-10", "2020-09-11", "2020-09-14", "2020-09-15",
"2020-09-16", "2020-09-17", "2020-09-18", "2020-09-21", "2020-09-22",
"2020-09-23", "2020-09-24", "2020-09-25", "2020-09-28", "2020-09-29",
"2020-09-30", "2020-10-01", "2020-10-02", "2020-10-05", "2020-10-06",
"2020-10-07", "2020-10-08", "2020-10-09", "2020-10-12", "2020-10-13",
"2020-10-14", "2020-10-15", "2020-10-16", "2020-10-19", "2020-10-20",
"2020-10-21", "2020-10-22", "2020-10-23", "2020-10-26", "2020-10-27",
"2020-10-28", "2020-10-29", "2020-10-30", "2020-11-02", "2020-11-03",
"2020-11-04", "2020-11-05", "2020-11-06", "2020-11-09", "2020-11-10",
"2020-11-11", "2020-11-12", "2020-11-13", "2020-11-16", "2020-11-17",
"2020-11-18", "2020-11-19", "2020-11-20", "2020-11-23", "2020-11-24",
"2020-11-25", "2020-11-26", "2020-11-27", "2020-11-30", "2020-12-01",
"2020-12-02", "2020-12-03", "2020-12-04", "2020-12-07", "2020-12-08",
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"2020-05-04"), time_in_phase = structure(c(0, 1, 2, 3, 4, 7,
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274, 275, 276, 277, 280, 281, 282, 283, 284, 287, 288, 289, 290,
291, 294, 295, 296, 297, 298, 301), class = "difftime", units = "days")), class = c("tbl_df",
"tbl", "data.frame"), row.names = c(NA, -572L))
我不确定我是否理解你想要绘制的内容。但是当您按照您描述的方式进行操作时，ggplot 将总结每个项目和阶段的 diff 时间。要查看这一点，请将您的绘图与以下输出进行比较：
> example %>%
+ group_by(phase_id, project_id) %>%
+ summarise(s = sum(as.numeric(diff)))
# A tibble: 6 x 3
# Groups: phase_id [3]
phase_id project_id s
<int> <int> <dbl>
1 0 0 1675
2 0 23 585
3 2 0 21175
4 2 23 805
5 3 0 2951
6 3 23 32336
我想通过
的某个 ID 在各个方面绘制以天为单位的时差 (diff)example <- example %>%
mutate(diff = difftime(ymd(date), ymd(phase_start), units = "days"))
ggplot(data = example) +
geom_col(aes(x= as.numeric(diff), y = as.factor(project_id)), width= 0.1) +
facet_wrap(~ phase_id, nrow = 1)
然而，虽然在 difftime 中指定，但 x 轴单位似乎并不代表天数。我什至不知道它显示的是什么比例，它应该在 0 到 400（天）之间——但是它是 0 到 30000。而且，差异在数据编辑器中显示正确的格式。我已经尝试了不同的计算差异时间的方法（即转换为日期并取差）。
请在下面找到一个可重现的示例。
# A tibble: 6 x 5
project_id phase_id date phase_start diff
<int> <int> <chr> <chr> <drtn>
1 0 0 2020-01-20 2020-01-20 0 days
2 0 0 2020-01-21 2020-01-20 1 days
3 0 0 2020-01-22 2020-01-20 2 days
4 0 0 2020-01-23 2020-01-20 3 days
5 0 0 2020-01-24 2020-01-20 4 days
6 0 0 2020-01-27 2020-01-20 7 days
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"2020-05-04"), time_in_phase = structure(c(0, 1, 2, 3, 4, 7,
8, 9, 10, 11, 14, 15, 16, 17, 18, 21, 22, 23, 24, 25, 28, 29,
30, 31, 32, 35, 36, 37, 38, 39, 42, 43, 44, 45, 46, 49, 50, 51,
52, 53, 56, 57, 58, 59, 60, 63, 64, 65, 66, 67, 0, 1, 2, 3, 4,
7, 8, 9, 10, 11, 14, 15, 16, 17, 18, 21, 22, 23, 24, 25, 28,
29, 30, 31, 32, 35, 36, 37, 38, 39, 42, 43, 44, 45, 46, 49, 50,
51, 52, 53, 56, 57, 58, 59, 60, 63, 64, 65, 66, 67, 70, 71, 72,
73, 74, 77, 78, 79, 80, 81, 84, 85, 86, 87, 88, 91, 92, 93, 94,
95, 98, 99, 100, 101, 102, 105, 106, 107, 108, 109, 112, 113,
114, 115, 116, 119, 120, 121, 122, 123, 126, 127, 128, 129, 130,
133, 134, 135, 136, 137, 140, 141, 142, 143, 144, 147, 148, 149,
150, 151, 154, 155, 156, 157, 158, 161, 162, 163, 164, 165, 168,
169, 170, 171, 172, 175, 176, 177, 178, 179, 182, 183, 184, 185,
186, 189, 190, 191, 192, 193, 196, 197, 198, 199, 200, 203, 204,
205, 206, 207, 210, 211, 212, 213, 214, 217, 218, 219, 220, 221,
224, 225, 226, 227, 228, 231, 232, 233, 234, 235, 238, 239, 240,
241, 242, 0, 1, 2, 3, 4, 7, 8, 9, 10, 11, 14, 15, 16, 17, 18,
21, 22, 23, 24, 25, 28, 29, 30, 31, 32, 35, 36, 37, 38, 39, 42,
43, 44, 45, 46, 49, 50, 51, 52, 53, 56, 57, 58, 59, 60, 63, 64,
65, 66, 67, 70, 71, 72, 73, 74, 77, 78, 79, 80, 81, 84, 85, 86,
87, 88, 91, 0, 1, 2, 3, 4, 7, 8, 9, 10, 11, 14, 15, 16, 17, 18,
21, 22, 23, 24, 25, 28, 29, 30, 31, 32, 35, 36, 37, 38, 39, 0,
1, 2, 3, 4, 7, 8, 9, 10, 11, 14, 15, 16, 17, 18, 21, 22, 23,
24, 25, 28, 29, 30, 31, 32, 35, 36, 37, 38, 39, 42, 43, 44, 45,
46, 0, 1, 2, 3, 4, 7, 8, 9, 10, 11, 14, 15, 16, 17, 18, 21, 22,
23, 24, 25, 28, 29, 30, 31, 32, 35, 36, 37, 38, 39, 42, 43, 44,
45, 46, 49, 50, 51, 52, 53, 56, 57, 58, 59, 60, 63, 64, 65, 66,
67, 70, 71, 72, 73, 74, 77, 78, 79, 80, 81, 84, 85, 86, 87, 88,
91, 92, 93, 94, 95, 98, 99, 100, 101, 102, 105, 106, 107, 108,
109, 112, 113, 114, 115, 116, 119, 120, 121, 122, 123, 126, 127,
128, 129, 130, 133, 134, 135, 136, 137, 140, 141, 142, 143, 144,
147, 148, 149, 150, 151, 154, 155, 156, 157, 158, 161, 162, 163,
164, 165, 168, 169, 170, 171, 172, 175, 176, 177, 178, 179, 182,
183, 184, 185, 186, 189, 190, 191, 192, 193, 196, 197, 198, 199,
200, 203, 204, 205, 206, 207, 210, 211, 212, 213, 214, 217, 218,
219, 220, 221, 224, 225, 226, 227, 228, 231, 232, 233, 234, 235,
238, 239, 240, 241, 242, 245, 246, 247, 248, 249, 252, 253, 254,
255, 256, 259, 260, 261, 262, 263, 266, 267, 268, 269, 270, 273,
274, 275, 276, 277, 280, 281, 282, 283, 284, 287, 288, 289, 290,
291, 294, 295, 296, 297, 298, 301), class = "difftime", units = "days")), class = c("tbl_df",
"tbl", "data.frame"), row.names = c(NA, -572L))
我不确定我是否理解你想要绘制的内容。但是当您按照您描述的方式进行操作时，ggplot 将总结每个项目和阶段的 diff 时间。要查看这一点，请将您的绘图与以下输出进行比较：
> example %>%
+ group_by(phase_id, project_id) %>%
+ summarise(s = sum(as.numeric(diff)))
# A tibble: 6 x 3
# Groups: phase_id [3]
phase_id project_id s
<int> <int> <dbl>
1 0 0 1675
2 0 23 585
3 2 0 21175
4 2 23 805
5 3 0 2951
6 3 23 32336