Hi Rui,
I try to run your code, but all data became NA. Not sure why...
# these columns need to be fixed
cols <- c("BatteryChargeStartDate", "BatteryChargeStopDate")
dt[cols] <- lapply(dt[cols], \(x) sub("\n", " ", x))
# use package lubridate to coerce to a datetime class
library(lubridate)
dt <- lapply(dt, lubridate::dmy_hm)
dt
dt[cols] <- lapply(dt[cols], lubridate::dmy_hm)
h <- lubridate::hour(dt[["BatteryChargeStartDate"]])
aggregate(Starting_SoC_of_12 ~ h, dt, length)
$BCStartTime
[1] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA NA NA NA NA NA NA NA NA
[33] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA NA NA NA NA NA NA NA NA
[65] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA NA NA NA NA NA NA NA NA
[97] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA NA NA NA NA NA NA NA NA
[129] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA NA NA NA NA NA NA NA NA
[161] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA NA NA NA NA NA NA NA NA
[193] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA NA NA NA NA NA NA NA NA
[225] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA NA NA NA NA NA NA NA NA
[257] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA NA NA NA NA NA NA NA NA
[289] NA NA NA NA NA NA NA NA
[929] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA NA NA NA NA NA NA NA NA
[961] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
NA NA NA NA NA NA NA NA NA
[993] NA NA NA NA NA NA NA NA
[ reached 'max' / getOption("max.print") -- omitted 34418 entries ]
dt[cols] <- lapply(dt[cols], lubridate::dmy_hm)
Warning messages:
1: All formats failed to parse. No formats found.
2: All formats failed to parse. No formats found.
h <- lubridate::hour(dt[["BatteryChargeStartDate"]])
aggregate(Starting_SoC_of_12 ~ h, dt, length)
Error in aggregate.data.frame(lhs, mf[-1L], FUN = FUN, ...) :
no rows to aggregate
On Tue, Jul 19, 2022 at 4:53 PM roslinazairimah zakaria <
roslinaump at gmail.com> wrote:
Hi Rui,
Yes, I would like to count for each hour, how many in the state of charge
start 0 and SOC 12, then SOC 1 and SOC 12 and so on.
Thank you for your help.
On Tue, Jul 19, 2022 at 1:11 AM Rui Barradas <ruipbarradas at sapo.pt> wrote:
Hello,
I'm not sure I understand the problem. Do you want counts of how many
rows are there per hour?
# these columns need to be fixed
cols <- c("BatteryChargeStartDate", "BatteryChargeStopDate")
dt_2014[cols] <- lapply(dt_2014[cols], \(x) sub("\n", " ", x))
# use package lubridate to coerce to a datetime class
dt_2014[cols] <- lapply(dt_2014[cols], lubridate::dmy_hm)
h <- lubridate::hour(dt_2014[["BatteryChargeStartDate"]])
aggregate(Starting_SoC_of_12 ~ h, dt_2014, length)
It would be better if you post the expected output corresponding to the
posted data set.
Hope this helps,
Rui Barradas
?s 05:04 de 18/07/2022, roslinazairimah zakaria escreveu:
Dear all,
I have data of Battery Electric vehicle (BEV). I would like to extract
from every hour starting from 0.00 to 0.59, 1:00-1:59 for SOC(state of
charge) start to end.
Some examples:
I can extract data from SOC=0 and SOC=12
dt_2014[which(dt_2014$Starting_SoC_of_12==0 &
dt_2014$Ending_SoC_of_12==12),]
I can extract data from SOC=1 and SOC=12
dt_2014[which(dt_2014$Starting_SoC_of_12==1 &
dt_2014$Ending_SoC_of_12==12),]
and I would like to further categorise the data by hour and count how
cars from 0 state charge to 12 state charge at in that particular hour.
Thank you so much for any help given.
Some data
structure(list(?..CarID = c("GC10", "GC10", "GC10", "GC10", "GC10",
"GC10", "GC10", "GC10", "GC10", "GC10"), BatteryChargeStartDate =
c("16/2/2014 16:05",
"16/2/2014 18:20", "17/2/2014 8:10", "18/2/2014 7:41", "18/2/2014
"18/2/2014 16:36", "18/2/2014 21:26", "19/2/2014 8:57", "19/2/2014
"20/2/2014 18:11"), BCStartTime = c("16:05", "18:20", "8:10",
"7:41", "15:36", "16:36", "21:26", "8:57", "21:08", "18:11"),
Year = c(2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L,
2014L, 2014L, 2014L), Month = c(2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L), Day = c(16L, 16L, 17L, 18L, 18L, 18L, 18L, 19L,
19L, 20L), BatteryChargeStopDate = c("16/2/2014 17:05", "16/2/2014
19:00",
"17/2/2014 15:57", "18/2/2014 9:52", "18/2/2014 15:39", "18/2/2014
17:36",
"19/2/2014 1:55", "19/2/2014 14:25", "20/2/2014 5:17", "20/2/2014
), BCStopTime = c("17:05", "19:00", "15:57", "9:52", "15:39",
"17:36", "1:55", "14:25", "5:17", "23:20"), Year2 = c(2014L,
2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L, 2014L
), Month2 = c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), Day2 =
16L, 17L, 18L, 18L, 18L, 19L, 19L, 20L, 20L), Starting_SoC_of_12 =
c(1L,
2L, 4L, 5L, 4L, 2L, 8L, 8L, 4L, 8L), Ending_SoC_of_12 = c(11L,
11L, 12L, 8L, 4L, 10L, 12L, 12L, 12L, 12L)), row.names = c(NA,
10L), class = "data.frame")
--
*Roslinazairimah Zakaria*
*Tel: +609-5492370; Fax. No.+609-5492766*
*Email: roslinazairimah at ump.edu.my <roslinazairimah at ump.edu.my>;
roslinaump at gmail.com <roslinaump at gmail.com>*
Faculty of Industrial Sciences & Technology
University Malaysia Pahang
Lebuhraya Tun Razak, 26300 Gambang, Pahang, Malaysia