I have some raw data
po59<-structure(list(case_id = c("WC4120721", "WC4120667", "WC4120689",
"WC4121068", "WC4120667", "WC4120666", "WC4120667", "WC4121068",
"WC4120667", "WC4121068", "WC4121068", "WC4120666", "WC4120721",
"WC4120666", "WC4120666"), lifecycle = c(110, 110, 110, 110,
120, 110, 130, 120, 10, 130, 10, 120, 120, 130, 10), action = c("WC4120721-CN354877",
"WC4120667-CN354878", "WC4120689-CN356752", "WC4121068-CN301950",
"WC4120667-CSW310", "WC4120666-CN354878", "WC4120667-CSW308",
"WC4121068-CSW303", "WC4120667-CSW309", "WC4121068-CSW308", "WC4121068-CSW309",
"WC4120666-CSW310", "WC4120721-CSW310", "WC4120666-CSW308", "WC4120666-CSW309"
), activity = c("Forged Wire, Medium (Sport)", "Forged Wire, Medium (Sport)",
"Forged Wire, Medium (Sport)", "Forged Wire, Medium (Sport)",
"BBH-1&2", "Forged Wire, Medium (Sport)", "TCE Cleaning", "SOLO Oil",
"Tempering", "TCE Cleaning", "Tempering", "BBH-1&2", "BBH-1&2",
"TCE Cleaning", "Tempering"), resource = c("3419", "3216", "3409",
"3201", "C3-100", "3216", "C3-080", "C3-030", "C3-090", "C3-080",
"C3-090", "C3-100", "C3-100", "C3-080", "C3-090"), timestamp = c("03.12.20 6:00",
"04.12.20 23:58", "08.12.20 16:56", "10.12.20 5:42", "10.12.20 22:57",
"11.12.20 10:13", "11.12.20 14:17", "11.12.20 21:20", "12.12.20 2:32",
"12.12.20 6:35", "12.12.20 14:50", "14.12.20 13:50", "14.12.20 19:11",
"15.12.20 1:10", "15.12.20 9:25")), row.names = c(NA, -15L), class = c("tbl_df",
"tbl", "data.frame"))
Then I convert to bupaR object with:
po59br<-bupaR::eventlog(eventlog = po59,
case_id = "case_id",
activity_id = "activity",
activity_instance_id = "action",
lifecycle_id = "lifecycle",
timestamp = "timestamp",
resource_id = "resource"
)
and I try to give the datetime data a format like : 2020-12-03 06:00:00 instead of 0003-12-20 06:00:00
po59$timestamp<-as.POSIXct(po59$timestamp,format="%Y.%m.%d
%H:%M",tz=Sys.timezone())
CodePudding user response：
Before and after:
po59$timestamp
# [1] "03.12.20 6:00" "04.12.20 23:58" "08.12.20 16:56" "10.12.20 5:42" "10.12.20 22:57" "11.12.20 10:13" "11.12.20 14:17"
# [8] "11.12.20 21:20" "12.12.20 2:32" "12.12.20 6:35" "12.12.20 14:50" "14.12.20 13:50" "14.12.20 19:11" "15.12.20 1:10"
# [15] "15.12.20 9:25"
as.POSIXct(po59$timestamp, format="%d.%m.%y %H:%M")
# [1] "2020-12-03 06:00:00 EST" "2020-12-04 23:58:00 EST" "2020-12-08 16:56:00 EST" "2020-12-10 05:42:00 EST"
# [5] "2020-12-10 22:57:00 EST" "2020-12-11 10:13:00 EST" "2020-12-11 14:17:00 EST" "2020-12-11 21:20:00 EST"
# [9] "2020-12-12 02:32:00 EST" "2020-12-12 06:35:00 EST" "2020-12-12 14:50:00 EST" "2020-12-14 13:50:00 EST"
# [13] "2020-12-14 19:11:00 EST" "2020-12-15 01:10:00 EST" "2020-12-15 09:25:00 EST"
This is what should be done when you first read in and process this data, in place of any other conversion you have on timestamp:
po59$timestamp <- as.POSIXct(po59$timestamp, format="%d.%m.%y %H:%M")
po59
# # A tibble: 15 x 6
# case_id lifecycle action activity resource timestamp
# <chr> <dbl> <chr> <chr> <chr> <dttm>
# 1 WC4120721 110 WC4120721-CN354877 Forged Wire, Medium (Sport) 3419 2020-12-03 06:00:00.0000
# 2 WC4120667 110 WC4120667-CN354878 Forged Wire, Medium (Sport) 3216 2020-12-04 23:58:00.0000
# 3 WC4120689 110 WC4120689-CN356752 Forged Wire, Medium (Sport) 3409 2020-12-08 16:56:00.0000
# 4 WC4121068 110 WC4121068-CN301950 Forged Wire, Medium (Sport) 3201 2020-12-10 05:42:00.0000
# 5 WC4120667 120 WC4120667-CSW310 BBH-1&2 C3-100 2020-12-10 22:57:00.0000
# 6 WC4120666 110 WC4120666-CN354878 Forged Wire, Medium (Sport) 3216 2020-12-11 10:13:00.0000
# 7 WC4120667 130 WC4120667-CSW308 TCE Cleaning C3-080 2020-12-11 14:17:00.0000
# 8 WC4121068 120 WC4121068-CSW303 SOLO Oil C3-030 2020-12-11 21:20:00.0000
# 9 WC4120667 10 WC4120667-CSW309 Tempering C3-090 2020-12-12 02:32:00.0000
# 10 WC4121068 130 WC4121068-CSW308 TCE Cleaning C3-080 2020-12-12 06:35:00.0000
# 11 WC4121068 10 WC4121068-CSW309 Tempering C3-090 2020-12-12 14:50:00.0000
# 12 WC4120666 120 WC4120666-CSW310 BBH-1&2 C3-100 2020-12-14 13:50:00.0000
# 13 WC4120721 120 WC4120721-CSW310 BBH-1&2 C3-100 2020-12-14 19:11:00.0000
# 14 WC4120666 130 WC4120666-CSW308 TCE Cleaning C3-080 2020-12-15 01:10:00.0000
# 15 WC4120666 10 WC4120666-CSW309 Tempering C3-090 2020-12-15 09:25:00.0000
Data
po59 <- structure(list(case_id = c("WC4120721", "WC4120667", "WC4120689", "WC4121068", "WC4120667", "WC4120666", "WC4120667", "WC4121068", "WC4120667", "WC4121068", "WC4121068", "WC4120666", "WC4120721", "WC4120666", "WC4120666"), lifecycle = c(110, 110, 110, 110, 120, 110, 130, 120, 10, 130, 10, 120, 120, 130, 10), action = c("WC4120721-CN354877", "WC4120667-CN354878", "WC4120689-CN356752", "WC4121068-CN301950", "WC4120667-CSW310", "WC4120666-CN354878", "WC4120667-CSW308", "WC4121068-CSW303", "WC4120667-CSW309", "WC4121068-CSW308", "WC4121068-CSW309", "WC4120666-CSW310", "WC4120721-CSW310", "WC4120666-CSW308", "WC4120666-CSW309"), activity = c("Forged Wire, Medium (Sport)", "Forged Wire, Medium (Sport)", "Forged Wire, Medium (Sport)", "Forged Wire, Medium (Sport)", "BBH-1&2", "Forged Wire, Medium (Sport)", "TCE Cleaning", "SOLO Oil", "Tempering", "TCE Cleaning", "Tempering", "BBH-1&2", "BBH-1&2", "TCE Cleaning", "Tempering"), resource = c("3419", "3216", "3409", "3201", "C3-100", "3216", "C3-080", "C3-030", "C3-090", "C3-080", "C3-090", "C3-100", "C3-100", "C3-080", "C3-090"), timestamp = c("03.12.20 6:00", "04.12.20 23:58", "08.12.20 16:56", "10.12.20 5:42", "10.12.20 22:57", "11.12.20 10:13", "11.12.20 14:17", "11.12.20 21:20", "12.12.20 2:32", "12.12.20 6:35", "12.12.20 14:50", "14.12.20 13:50", "14.12.20 19:11", "15.12.20 1:10", "15.12.20 9:25")), row.names = c(NA, -15L), class = c("tbl_df", "tbl", "data.frame"))
CodePudding user response：
You can use the library lubridate to fix your dates.
Starting with the data structured exactly as it is in your question, update them by switching the year and date. (Add the 2K back to the year, as well.)
library(lubridate)
po59$timestamp <- update(po59$timestamp,
year = 2000 day(po59$timestamp),
day = year(po59$timestamp))
head(po59)
# # A tibble: 6 × 6
# case_id lifecycle action activity resou…¹ timestamp
# <chr> <dbl> <chr> <chr> <chr> <dttm>
# 1 WC4120721 110 WC4120721-CN354877 Forged Wir… 3419 2020-12-03 06:00:00
# 2 WC4120667 110 WC4120667-CN354878 Forged Wir… 3216 2020-12-04 23:58:00
# 3 WC4120689 110 WC4120689-CN356752 Forged Wir… 3409 2020-12-08 16:56:00
# 4 WC4121068 110 WC4121068-CN301950 Forged Wir… 3201 2020-12-10 05:42:00
# 5 WC4120667 120 WC4120667-CSW310 BBH-1&2 C3-100 2020-12-10 22:57:00
# 6 WC4120666 110 WC4120666-CN354878 Forged Wir… 3216 2020-12-11 10:13:00