如何計算每組的序列？
[英]How to count sequence per group?
問題描述
我有一個包含三列（ MAT 、 DATA和STATUS ）的數據庫，我想計算各種 MAT 的 STATUS 序列。
我的數據集
MAT. DATA STATUS
1 4857 2021-09-21 FO
2 4857 2021-09-22 FO
3 4857 2021-09-23 FO
4 4857 2021-09-24 FO
5 4857 2021-09-25 FO
6 4857 2021-09-26 FO
7 4857 2021-09-27 T
8 4857 2021-09-28 C
9 4857 2021-09-29 C
示例：對於 MAT。 = 5109 我有以下序列
MAT. DATA STATUS
955 5109 2021-09-21 C
956 5109 2021-09-22 C
957 5109 2021-09-23 C
958 5109 2021-09-24 C
959 5109 2021-09-25 C
960 5109 2021-09-26 C
961 5109 2021-09-27 C
962 5109 2021-09-28 C
963 5109 2021-09-29 C
964 5109 2021-09-30 C
965 5109 2021-10-01 C
966 5109 2021-10-02 C
967 5109 2021-10-03 C
968 5109 2021-10-04 C
969 5109 2021-10-05 C
970 5109 2021-10-06 C
971 5109 2021-10-07 C
972 5109 2021-10-08 T
973 5109 2021-10-09 FO
974 5109 2021-10-10 FO
975 5109 2021-10-11 FO
976 5109 2021-10-12 FO
977 5109 2021-10-13 FO
978 5109 2021-10-14 FO
979 5109 2021-10-15 FO
980 5109 2021-10-16 FO
981 5109 2021-10-17 FO
982 5109 2021-10-18 T
983 5109 2021-10-19 C
984 5109 2021-10-20 C
我使用了生成計數的 rle rle ：
> rle(df_exemplo$STATUS)
Run Length Encoding
lengths: int [1:5] 17 1 9 1 2
values : chr [1:5] "C" "T" "FO" "T" "C"
現在我需要對所有其他 MAT 執行此操作。 並且該數據存儲在數據框中。
有誰知道我該怎么做？
所有數據集
df_group_MAT =
structure(list(MAT. = c(4885L, 4885L, 4885L, 4885L, 4885L, 4885L,
4885L, 4885L, 4885L, 4885L, 4885L, 4885L, 4885L, 4885L, 4885L,
4885L, 4885L, 4885L, 4885L, 4885L, 4885L, 4885L, 4885L, 4885L,
4885L, 4885L, 4885L, 4885L, 4885L, 4885L, 4885L, 5109L, 5109L,
5109L, 5109L, 5109L, 5109L, 5109L, 5693L, 5693L, 5693L, 5693L,
5693L, 5693L, 5693L, 5693L, 5693L, 5693L, 5693L, 5693L, 5693L,
5693L, 5693L, 5693L, 5693L, 5693L, 5693L, 5693L, 5693L, 5693L,
5693L, 5693L, 5693L, 5693L, 5693L, 5693L, 5693L, 5693L, 5693L,
5986L, 5986L, 5986L, 5986L, 5986L, 5986L, 5986L, 5986L, 5986L,
5986L, 5986L, 5986L, 5986L, 5986L, 5986L, 5986L, 5986L, 5986L,
5986L, 5986L, 5986L, 5986L, 5986L, 5986L, 5986L, 5986L, 5986L,
5986L, 5986L, 5986L, 5986L), DATA = structure(c(18892, 18896,
18900, 18904, 18908, 18912, 18916, 18920, 18924, 18928, 18932,
18936, 18940, 18944, 18948, 18952, 18956, 18960, 18964, 18968,
18972, 18976, 18980, 18984, 18988, 18992, 18996, 19000, 19004,
19008, 19012, 18893, 18897, 18901, 18905, 18909, 18913, 18917,
18891, 18895, 18899, 18903, 18907, 18911, 18915, 18919, 18923,
18927, 18931, 18935, 18939, 18943, 18947, 18951, 18955, 18959,
18963, 18967, 18971, 18975, 18979, 18983, 18987, 18991, 18995,
18999, 19003, 19007, 19011, 18892, 18896, 18900, 18904, 18908,
18912, 18916, 18920, 18924, 18928, 18932, 18936, 18940, 18944,
18948, 18952, 18956, 18960, 18964, 18968, 18972, 18976, 18980,
18984, 18988, 18992, 18996, 19000, 19004, 19008, 19012), class = "Date"),
STATUS = c("FO", "FO", "ANG", "ANG", "ANG", "ANG", "FO",
"FO", "FO", "C", "C", "C", "C", "C", "EC", "EC", "EC", "FO",
"FO", "FO", "C", "C", "C", "C", "FO", "FO", "FO", "C", "C",
"C", "C", "C", "C", "C", "C", "FO", "FO", "FO", "C", "FO",
"FO", "FO", "FO", "C", "C", "C", "C", "FO", "FO", "FO", "FO",
"C", "AT", "C", "C", "C", "FO", "FO", "FO", "FO", "FO", "C",
"C", "C", "C", "T", "FO", "FO", "FO", "C", "C", "C", "C",
"T", "FO", "FO", "QR", "QR", "QR", "AG", "AG", "AG", "AG",
"AG", "AG", "AG", "AG", "AG", "AG", "AG", "AG", "AG", "AG",
"AG", "AG", "AG", "AG", "AG", "AG", "AG")), row.names = c(560L,
564L, 568L, 572L, 576L, 580L, 584L, 588L, 592L, 596L, 600L, 604L,
608L, 612L, 616L, 620L, 624L, 628L, 632L, 636L, 640L, 644L, 648L,
652L, 656L, 660L, 664L, 668L, 672L, 676L, 680L, 957L, 961L, 965L,
969L, 973L, 977L, 981L, 1842L, 1846L, 1850L, 1854L, 1858L, 1862L,
1866L, 1870L, 1874L, 1878L, 1882L, 1886L, 1890L, 1894L, 1898L,
1902L, 1906L, 1910L, 1914L, 1918L, 1922L, 1926L, 1930L, 1934L,
1938L, 1942L, 1946L, 1950L, 1954L, 1958L, 1962L, 2827L, 2831L,
2835L, 2839L, 2843L, 2847L, 2851L, 2855L, 2859L, 2863L, 2867L,
2871L, 2875L, 2879L, 2883L, 2887L, 2891L, 2895L, 2899L, 2903L,
2907L, 2911L, 2915L, 2919L, 2923L, 2927L, 2931L, 2935L, 2939L,
2943L, 2947L), class = "data.frame")
1 個解決方案
解決方案1
0 2021-12-03 15:47:44
你可以使用這個：
my_df2 <- df_group_MAT %>% group_by(MAT., STATUS) %>% summarise(Number = n())
這會給你預期的結果嗎？
按組計算行序列並在每次組更改時重新開始計數
[英]Count sequence of rows by group and restart the count every time the group changes
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