Hi
The first question is simple. You should use aggregate and cut but first you
need to transfer your data to date/time format by strptime.
test<-read.table("clipboard", header=T)
test$cas<-strptime(paste(test$Date, test$Time), format="%Y/%m/%d %H:%M:%S")
Below is the data.
aggregate(test[,4:6], list(cut(test$cas, "days")), mean, na.rm=T)
Group.1 Temp_C Pressure_kPa RH
1 2014-03-28 32.25714 95.94286 54.21429
2 2014-03-29 32.23750 96.09167 59.29583
3 2014-03-30 27.35000 96.05000 83.15000
The second one is difficult if impossible to answer.
read.csv(file.choose(),header=TRUE)
This seems to be OK. So my guess is that the original file is not csv or that
it has some hidden characters elsewhere.
Cheers
Petr
dput(test)
structure(list(Neph_no = c(9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L,
9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L,
9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L
), Date = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L), .Label =
c("2014/03/28",
"2014/03/29", "2014/03/30"), class = "factor"), Time = structure(c(11L,
12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L,
1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L,
15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 1L, 2L, 3L), .Label =
c("00:00:00",
"01:00:00", "02:00:00", "03:00:00", "04:00:00", "05:00:00", "06:00:00",
"07:00:00", "08:00:00", "09:00:00", "10:00:00", "11:00:00", "12:00:00",
"13:00:00", "14:00:00", "15:00:00", "16:00:00", "17:00:00", "18:00:00",
"19:00:00", "20:00:00", "21:00:00", "22:00:00", "23:00:00"), class = "factor"),
Temp_C = c(38.4, 37.8, 36.7, 35.4, 34.1, 32.7, 31.8, 31.2,
30.6, 29.8, 29.1, 28.6, 28, 27.4, 27, 27.1, 27, 27.8, 30.4,
33.7, 36.3, 37.7, 38.7, 38.9, 39.4, 38.9, 38.2, 37.4, 35.8,
33.9, 31.4, 29.4, 29, 26.5, 27, 27.5, 27.4, 27.3, 27.1, 27.6,
27.8), Pressure_kPa = c(95.9, 95.8, 95.8, 95.8, 95.8, 95.9,
96, 96, 96.1, 96.1, 96.1, 96, 96, 95.9, 96, 96, 96.1, 96.1,
96.2, 96.3, 96.3, 96.3, 96.3, 96.1, 96, 95.9, 95.8, 95.8,
95.9, 96, 96.1, 96.3, 96.3, 96.2, 96.1, 96.1, 96, 96, 96,
96.1, 96.1), RH = c(29.7, 29.2, 35.1, 38.9, 44, 52.9, 55.1,
57.8, 62.1, 68.1, 69.5, 68.3, 71.9, 76.4, 80.6, 80.4, 80.5,
78.1, 66.8, 54, 45, 38.8, 34.7, 32.6, 30.2, 31.5, 33.8, 35.4,
39.5, 46.9, 59.8, 72.9, 69.6, 81.7, 82.9, 81.7, 82.6, 83.1,
84.5, 81.8, 81), cas = structure(list(sec = c(0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), min = c(0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), hour = c(10L, 11L,
12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L,
0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L,
14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 0L, 1L,
2L), mday = c(28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L,
28L, 28L, 28L, 28L, 28L, 29L, 29L, 29L, 29L, 29L, 29L, 29L,
29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L,
29L, 29L, 29L, 29L, 29L, 30L, 30L, 30L), mon = c(2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), year = c(114L, 114L,
114L, 114L, 114L, 114L, 114L, 114L, 114L, 114L, 114L, 114L,
114L, 114L, 114L, 114L, 114L, 114L, 114L, 114L, 114L, 114L,
114L, 114L, 114L, 114L, 114L, 114L, 114L, 114L, 114L, 114L,
114L, 114L, 114L, 114L, 114L, 114L, 114L, 114L, 114L), wday = c(5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 0L, 0L, 0L), yday = c(86L, 86L,
86L, 86L, 86L, 86L, 86L, 86L, 86L, 86L, 86L, 86L, 86L, 86L,
87L, 87L, 87L, 87L, 87L, 87L, 87L, 87L, 87L, 87L, 87L, 87L,
87L, 87L, 87L, 87L, 87L, 87L, 87L, 87L, 87L, 87L, 87L, 87L,
88L, 88L, 88L), isdst = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, -1L), zone = c("CET", "CET", "CET", "CET", "CET",
"CET", "CET", "CET", "CET", "CET", "CET", "CET", "CET", "CET",
"CET", "CET", "CET", "CET", "CET", "CET", "CET", "CET", "CET",
"CET", "CET", "CET", "CET", "CET", "CET", "CET", "CET", "CET",
"CET", "CET", "CET", "CET", "CET", "CET", "CET", "CET", ""
), gmtoff = c(NA_integer_, NA_integer_, NA_integer_, NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_,
NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_,
NA_integer_, NA_integer_)), class = c("POSIXlt", "POSIXt"
))), row.names = c(NA, -41L), class = "data.frame")
>
> -----Original Message-----
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Emeka Don
> Sent: Monday, March 12, 2018 12:18 PM
> To: r-help@r-project.org
> Subject: [R] Help on Aggregation
>
> Dear All,
> 1.I have been trying to aggregate my data but I have not been getting it
> correctly. In the data I want to convert hourly data into daily averages.
> Here is a sample of the data:
> Neph_no Date Time Temp_C Pressure_kPa RH
> 9 2014/03/28 10:00:00 38.4 95.9 29.7
> 9 2014/03/28 11:00:00 37.8 95.8 29.2
> 9 2014/03/28 12:00:00 36.7 95.8 35.1
> 9 2014/03/28 13:00:00 35.4 95.8 38.9
> 9 2014/03/28 14:00:00 34.1 95.8 44
> 9 2014/03/28 15:00:00 32.7 95.9 52.9
> 9 2014/03/28 16:00:00 31.8 96 55.1
> 9 2014/03/28 17:00:00 31.2 96 57.8
> 9 2014/03/28 18:00:00 30.6 96.1 62.1
> 9 2014/03/28 19:00:00 29.8 96.1 68.1
> 9 2014/03/28 20:00:00 29.1 96.1 69.5
> 9 2014/03/28 21:00:00 28.6 96 68.3
> 9 2014/03/28 22:00:00 28 96 71.9
> 9 2014/03/28 23:00:00 27.4 95.9 76.4
> 9 2014/03/29 00:00:00 27 96 80.6
> 9 2014/03/29 01:00:00 27.1 96 80.4
> 9 2014/03/29 02:00:00 27 96.1 80.5
> 9 2014/03/29 03:00:00 27.8 96.1 78.1
> 9 2014/03/29 04:00:00 30.4 96.2 66.8
> 9 2014/03/29 05:00:00 33.7 96.3 54
> 9 2014/03/29 06:00:00 36.3 96.3 45
> 9 2014/03/29 07:00:00 37.7 96.3 38.8
> 9 2014/03/29 08:00:00 38.7 96.3 34.7
> 9 2014/03/29 09:00:00 38.9 96.1 32.6
> 9 2014/03/29 10:00:00 39.4 96 30.2
> 9 2014/03/29 11:00:00 38.9 95.9 31.5
> 9 2014/03/29 12:00:00 38.2 95.8 33.8
> 9 2014/03/29 13:00:00 37.4 95.8 35.4
> 9 2014/03/29 14:00:00 35.8 95.9 39.5
> 9 2014/03/29 15:00:00 33.9 96 46.9
> 9 2014/03/29 16:00:00 31.4 96.1 59.8
> 9 2014/03/29 17:00:00 29.4 96.3 72.9
> 9 2014/03/29 18:00:00 29 96.3 69.6
> 9 2014/03/29 19:00:00 26.5 96.2 81.7
> 9 2014/03/29 20:00:00 27 96.1 82.9
> 9 2014/03/29 21:00:00 27.5 96.1 81.7
> 9 2014/03/29 22:00:00 27.4 96 82.6
> 9 2014/03/29 23:00:00 27.3 96 83.1
> 9 2014/03/30 00:00:00 27.1 96 84.5
> 9 2014/03/30 01:00:00 27.6 96.1 81.8
> 9 2014/03/30 02:00:00 27.8 96.1 81
>
> 2. I have some data of about 6100 rows and 6 columns, but anytime i read it
> into R, it removes the header and a large chunk of the data.( i:e it will
> import
> from row 3550-6099). This is the code i used for it
> "met_data=read.csv(file.choose(),header=TRUE)", so, how do I read the entire
> data into R without missing some?
> Thank you.
>
> --
> Onyeuwaoma Nnaemeka Dom
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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