Hi
From: Lee Marine [mailto:marine1...@gmail.com]
Sent: Wednesday, January 22, 2014 2:01 AM
To: PIKAL Petr
Subject: Re: [R] My problem with R
ps.
>str(timestamp3)
POSIXlt[1:36568], format: "2013-10-04 04:42:00" "2013-10-04 04:42:01" ...
POSIX format can have list structure or vector structure which is appropriate
for your case.
see
?as.POSIXct
However did you consider to use merge which is probably more appropriate than
rbind and does not have "matrix" side effect.
If I understand correctly you want to import several files with same structure
and stack them together
> file1<-data.frame(a=rnorm(10), b=1:10)
> file1
a b
1 1.1507791 1
2 1.1080384 2
3 1.4140105 3
4 0.5001733 4
5 -0.2109147 5
6 0.4318809 6
7 0.7652300 7
8 -0.3629509 8
9 -0.1579185 9
10 -0.3710052 10
> file2<-data.frame(a=rnorm(10), b=11:20)
> file2
a b
1 0.38297419 11
2 -0.77735905 12
3 1.50438015 13
4 0.30632757 14
5 0.30045189 15
6 0.66224030 16
7 1.64338395 17
8 -0.84172668 18
9 -0.33173291 19
10 0.02078888 20
> merge(file1, file2, all=T)
a b
1 -0.84172668 18
2 -0.77735905 12
3 -0.37100523 10
4 -0.36295093 8
5 -0.33173291 19
6 -0.21091468 5
7 -0.15791848 9
8 0.02078888 20
9 0.30045189 15
10 0.30632757 14
11 0.38297419 11
12 0.43188092 6
13 0.50017333 4
14 0.66224030 16
15 0.76522999 7
16 1.10803836 2
17 1.15077911 1
18 1.41401048 3
19 1.50438015 13
20 1.64338395 17
After merging you can convert date and time to POSIX and sort or aggregate your
file . AFAIK merge can stack only two data frames but you can do it easily in
cycle or by hand.
Assuming your objects are named data1-datan, you can do
final <-merge(data1, data2, all=T)
final <- merge(final, data3, all=T)
....
Regards
Petr
> mode(timestamp3)
[1] "list"
> Time<-data.frame(rbind(timestamp3,timestamp4,timestamp5,timestamp6,timestamp7,timestamp8,timestamp9,
timestamp10,timestamp11,timestamp12,timestamp13,timestamp14,timestamp15,timestamp16))
> str(Time)
'data.frame': 14 obs. of 9 variables:
$ sec :List of 14
..$ timestamp3 : num 0 1 2 3 4 5 6 7 8 9 ...
..$ timestamp4 : num 0 1 2 3 4 5 6 7 8 9 ...
..$ timestamp5 : num 0 1 2 3 4 5 6 7 8 9 ...
..$ timestamp6 : num 0 1 2 3 4 5 6 7 8 9 ...
..$ timestamp7 : num 0 1 2 3 4 5 6 7 8 9 ...
..$ timestamp8 : num 0 1 2 3 4 5 6 7 8 9 ...
..$ timestamp9 : num 0 1 2 3 4 5 6 7 8 9 ...
..$ timestamp10: num 0 1 2 3 4 5 6 7 8 9 ...
..$ timestamp11: num 0 1 2 3 4 5 6 7 8 9 ...
..$ timestamp12: num 0 1 2 4 5 6 7 8 9 10 ...
..$ timestamp13: num 0 1 2 3 4 5 6 7 8 9 ...
..$ timestamp14: num 0 1 2 3 4 5 6 7 8 9 ...
..$ timestamp15: num 1 2 3 4 5 6 7 8 9 10 ...
..$ timestamp16: num 0 1 2 3 4 5 6 7 8 9 ...
$ min :List of 14
..$ timestamp3 : int 42 42 42 42 42 42 42 42 42 42 ...
..$ timestamp4 : int 0 0 0 0 0 0 0 0 0 0 ...
..$ timestamp5 : int 0 0 0 0 0 0 0 0 0 0 ...
..$ timestamp6 : int 0 0 0 0 0 0 0 0 0 0 ...
..$ timestamp7 : int 0 0 0 0 0 0 0 0 0 0 ...
..$ timestamp8 : int 0 0 0 0 0 0 0 0 0 0 ...
..$ timestamp9 : int 0 0 0 0 0 0 0 0 0 0 ...
..$ timestamp10: int 0 0 0 0 0 0 0 0 0 0 ...
..$ timestamp11: int 0 0 0 0 0 0 0 0 0 0 ...
..$ timestamp12: int 0 0 0 0 0 0 0 0 0 0 ...
..$ timestamp13: int 0 0 0 0 0 0 0 0 0 0 ...
..$ timestamp14: int 0 0 0 0 0 0 0 0 0 0 ...
..$ timestamp15: int 0 0 0 0 0 0 0 0 0 0 ...
..$ timestamp16: int 0 0 0 0 0 0 0 0 0 0 ...
$ hour :List of 14
..$ timestamp3 : int 4 4 4 4 4 4 4 4 4 4 ...
..$ timestamp4 : int 15 15 15 15 15 15 15 15 15 15 ...
..$ timestamp5 : int 15 15 15 15 15 15 15 15 15 15 ...
..$ timestamp6 : int 15 15 15 15 15 15 15 15 15 15 ...
..$ timestamp7 : int 15 15 15 15 15 15 15 15 15 15 ...
..$ timestamp8 : int 15 15 15 15 15 15 15 15 15 15 ...
..$ timestamp9 : int 15 15 15 15 15 15 15 15 15 15 ...
..$ timestamp10: int 15 15 15 15 15 15 15 15 15 15 ...
..$ timestamp11: int 15 15 15 15 15 15 15 15 15 15 ...
..$ timestamp12: int 15 15 15 15 15 15 15 15 15 15 ...
..$ timestamp13: int 15 15 15 15 15 15 15 15 15 15 ...
..$ timestamp14: int 15 15 15 15 15 15 15 15 15 15 ...
..$ timestamp15: int 15 15 15 15 15 15 15 15 15 15 ...
..$ timestamp16: int 15 15 15 15 15 15 15 15 15 15 ...
$ mday :List of 14
..$ timestamp3 : int 4 4 4 4 4 4 4 4 4 4 ...
..$ timestamp4 : int 4 4 4 4 4 4 4 4 4 4 ...
..$ timestamp5 : int 5 5 5 5 5 5 5 5 5 5 ...
..$ timestamp6 : int 6 6 6 6 6 6 6 6 6 6 ...
..$ timestamp7 : int 7 7 7 7 7 7 7 7 7 7 ...
..$ timestamp8 : int 8 8 8 8 8 8 8 8 8 8 ...
..$ timestamp9 : int 9 9 9 9 9 9 9 9 9 9 ...
..$ timestamp10: int 10 10 10 10 10 10 10 10 10 10 ...
..$ timestamp11: int 11 11 11 11 11 11 11 11 11 11 ...
..$ timestamp12: int 12 12 12 12 12 12 12 12 12 12 ...
..$ timestamp13: int 13 13 13 13 13 13 13 13 13 13 ...
..$ timestamp14: int 14 14 14 14 14 14 14 14 14 14 ...
..$ timestamp15: int 15 15 15 15 15 15 15 15 15 15 ...
..$ timestamp16: int 16 16 16 16 16 16 16 16 16 16 ...
$ mon :List of 14
..$ timestamp3 : int 9 9 9 9 9 9 9 9 9 9 ...
..$ timestamp4 : int 9 9 9 9 9 9 9 9 9 9 ...
..$ timestamp5 : int 9 9 9 9 9 9 9 9 9 9 ...
..$ timestamp6 : int 9 9 9 9 9 9 9 9 9 9 ...
..$ timestamp7 : int 9 9 9 9 9 9 9 9 9 9 ...
..$ timestamp8 : int 9 9 9 9 9 9 9 9 9 9 ...
..$ timestamp9 : int 9 9 9 9 9 9 9 9 9 9 ...
..$ timestamp10: int 9 9 9 9 9 9 9 9 9 9 ...
..$ timestamp11: int 9 9 9 9 9 9 9 9 9 9 ...
..$ timestamp12: int 9 9 9 9 9 9 9 9 9 9 ...
..$ timestamp13: int 9 9 9 9 9 9 9 9 9 9 ...
..$ timestamp14: int 9 9 9 9 9 9 9 9 9 9 ...
..$ timestamp15: int 9 9 9 9 9 9 9 9 9 9 ...
..$ timestamp16: int 9 9 9 9 9 9 9 9 9 9 ...
$ year :List of 14
..$ timestamp3 : int 113 113 113 113 113 113 113 113 113 113 ...
..$ timestamp4 : int 113 113 113 113 113 113 113 113 113 113 ...
..$ timestamp5 : int 113 113 113 113 113 113 113 113 113 113 ...
..$ timestamp6 : int 113 113 113 113 113 113 113 113 113 113 ...
..$ timestamp7 : int 113 113 113 113 113 113 113 113 113 113 ...
..$ timestamp8 : int 113 113 113 113 113 113 113 113 113 113 ...
..$ timestamp9 : int 113 113 113 113 113 113 113 113 113 113 ...
..$ timestamp10: int 113 113 113 113 113 113 113 113 113 113 ...
..$ timestamp11: int 113 113 113 113 113 113 113 113 113 113 ...
..$ timestamp12: int 113 113 113 113 113 113 113 113 113 113 ...
..$ timestamp13: int 113 113 113 113 113 113 113 113 113 113 ...
..$ timestamp14: int 113 113 113 113 113 113 113 113 113 113 ...
..$ timestamp15: int 113 113 113 113 113 113 113 113 113 113 ...
..$ timestamp16: int 113 113 113 113 113 113 113 113 113 113 ...
$ wday :List of 14
..$ timestamp3 : int 5 5 5 5 5 5 5 5 5 5 ...
..$ timestamp4 : int 5 5 5 5 5 5 5 5 5 5 ...
..$ timestamp5 : int 6 6 6 6 6 6 6 6 6 6 ...
..$ timestamp6 : int 0 0 0 0 0 0 0 0 0 0 ...
..$ timestamp7 : int 1 1 1 1 1 1 1 1 1 1 ...
..$ timestamp8 : int 2 2 2 2 2 2 2 2 2 2 ...
..$ timestamp9 : int 3 3 3 3 3 3 3 3 3 3 ...
..$ timestamp10: int 4 4 4 4 4 4 4 4 4 4 ...
..$ timestamp11: int 5 5 5 5 5 5 5 5 5 5 ...
..$ timestamp12: int 6 6 6 6 6 6 6 6 6 6 ...
..$ timestamp13: int 0 0 0 0 0 0 0 0 0 0 ...
..$ timestamp14: int 1 1 1 1 1 1 1 1 1 1 ...
..$ timestamp15: int 2 2 2 2 2 2 2 2 2 2 ...
..$ timestamp16: int 3 3 3 3 3 3 3 3 3 3 ...
$ yday :List of 14
..$ timestamp3 : int 276 276 276 276 276 276 276 276 276 276 ...
..$ timestamp4 : int 276 276 276 276 276 276 276 276 276 276 ...
..$ timestamp5 : int 277 277 277 277 277 277 277 277 277 277 ...
..$ timestamp6 : int 278 278 278 278 278 278 278 278 278 278 ...
..$ timestamp7 : int 279 279 279 279 279 279 279 279 279 279 ...
..$ timestamp8 : int 280 280 280 280 280 280 280 280 280 280 ...
..$ timestamp9 : int 281 281 281 281 281 281 281 281 281 281 ...
..$ timestamp10: int 282 282 282 282 282 282 282 282 282 282 ...
..$ timestamp11: int 283 283 283 283 283 283 283 283 283 283 ...
..$ timestamp12: int 284 284 284 284 284 284 284 284 284 284 ...
..$ timestamp13: int 285 285 285 285 285 285 285 285 285 285 ...
..$ timestamp14: int 286 286 286 286 286 286 286 286 286 286 ...
..$ timestamp15: int 287 287 287 287 287 287 287 287 287 287 ...
..$ timestamp16: int 288 288 288 288 288 288 288 288 288 288 ...
$ isdst:List of 14
..$ timestamp3 : int 0 0 0 0 0 0 0 0 0 0 ...
..$ timestamp4 : int 0 0 0 0 0 0 0 0 0 0 ...
..$ timestamp5 : int 0 0 0 0 0 0 0 0 0 0 ...
..$ timestamp6 : int 0 0 0 0 0 0 0 0 0 0 ...
..$ timestamp7 : int 0 0 0 0 0 0 0 0 0 0 ...
..$ timestamp8 : int 0 0 0 0 0 0 0 0 0 0 ...
..$ timestamp9 : int 0 0 0 0 0 0 0 0 0 0 ...
..$ timestamp10: int 0 0 0 0 0 0 0 0 0 0 ...
..$ timestamp11: int 0 0 0 0 0 0 0 0 0 0 ...
..$ timestamp12: int 0 0 0 0 0 0 0 0 0 0 ...
..$ timestamp13: int 0 0 0 0 0 0 0 0 0 0 ...
..$ timestamp14: int 0 0 0 0 0 0 0 0 0 0 ...
..$ timestamp15: int 0 0 0 0 0 0 0 0 0 0 ...
..$ timestamp16: int 0 0 0 0 0 0 0 0 0 0 ...
> mode(Time)
[1] "list"
What is the problem?
2014/1/22 Lee Marine <marine1...@gmail.com<mailto:marine1...@gmail.com>>
Hi, This is marine, again.
Thanks for your e-mail that give me a time to think.
I tried to work in R again,
First step,
>data3=read.csv("D://data3.csv", header=FALSE)
>str(data3)
'data.frame': 36568 obs. of 89 variables:
$ V1 : Factor w/ 1 level "2013-10-04": 1 1 1 1 1 1 1 1 1 1 ...
$ V2 : Factor w/ 36568 levels "10:00:00","10:00:01",..: 17753 17754 17755
17756 17757 17758 17759 17760 17761 17762 ...
$ V3 : num 0.208 0.545 0.208 0.208 0.782 ...
$ V4 : num 0.744 0.373 0.744 0.744 0.17 ...
...
> head(data3$V1)
[1] 2013-10-04 2013-10-04 2013-10-04 2013-10-04 2013-10-04 2013-10-04
Levels: 2013-10-04
> head(data3$V2)
[1] 4:42:00 4:42:01 4:42:02 4:42:03 4:42:04 4:42:05
36568 Levels: 10:00:00 10:00:01 10:00:02 10:00:03 10:00:04 10:00:05 ... 9:59:59
Second step,
>a3<-cbind(data3[1:36568,3])
>b3<-cbind(data3[1:36568,4])
>c3<-cbind(data3[1:36568,5])
...
>a<-rbind(a3,a4,a5,a6,a7,a8,a9,a10,a11,a12,a13,a14,a15,a16)
>b<-rbind(b3,b4,b5,b6,b7,b8,b9,b10,b11,b12,b13,b14,b15,b16)
...
>str(a) #V1=a
num [1:1143479, 1] 0.208 0.545 0.208 0.208 0.782 ...
I attempt to bind data in data frame,
>seems=data.frame(cbind(date,day,a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,aa,ab,ac,ad))
>str(seems)
'data.frame': 1143479 obs. of 32 variables:
$ X1 : num 1 1 1 1 1 1 1 1 1 1 ...
$ X2 : num 17753 17754 17755 17756 17757 ...
$ X3 : num 0.208 0.545 0.208 0.208 0.782 ...
It is all changed number.
also,
>timestamp3<-strptime(paste(data3[,1],data3[,2], sep=""),format="%Y-%m-%d
>%H:%M:%S")
>timestamp4<-strptime(paste(data4[,1],data4[,2], sep=""),format="%Y-%m-%d
>%H:%M:%S")
>timestamp5<-strptime(paste(data5[,1],data5[,2], sep=""),format="%Y-%m-%d
>%H:%M:%S")
...
>mode(timestamp3)
[1] "List"
> head(timestamp16)
[1] "2013-10-16 15:00:00" "2013-10-16 15:00:01" "2013-10-16 15:00:02"
[4] "2013-10-16 15:00:03" "2013-10-16 15:00:04" "2013-10-16 15:00:05"
> tail(timestamp16)
[1] "2013-10-17 14:59:54" "2013-10-17 14:59:55" "2013-10-17 14:59:56"
[4] "2013-10-17 14:59:57" "2013-10-17 14:59:58" "2013-10-17 14:59:59"
It was good only first time.
I have to bind(rbind) these timestamps and all data, tried to bind,
>Time<-rbind(timestamp3,timestamp4,timestamp5,timestamp6,timestamp7,timestamp8,timestamp9,timestamp10,
timestamp11,timestamp12,timestamp13,timestamp14,timestamp15,timestamp16)
>head(Time)
>head(timestamp3)
sec min hour mday
timestamp3 Numeric,36568 Integer,36568 Integer,36568 Integer,36568
timestamp4 Numeric,85206 Integer,85206 Integer,85206 Integer,85206
timestamp5 Numeric,85207 Integer,85207 Integer,85207 Integer,85207
timestamp6 Numeric,85206 Integer,85206 Integer,85206 Integer,85206
timestamp7 Numeric,85207 Integer,85207 Integer,85207 Integer,85207
timestamp8 Numeric,85161 Integer,85161 Integer,85161 Integer,85161
mon year wday yday
timestamp3 Integer,36568 Integer,36568 Integer,36568 Integer,36568
timestamp4 Integer,85206 Integer,85206 Integer,85206 Integer,85206
timestamp5 Integer,85207 Integer,85207 Integer,85207 Integer,85207
timestamp6 Integer,85206 Integer,85206 Integer,85206 Integer,85206
timestamp7 Integer,85207 Integer,85207 Integer,85207 Integer,85207
timestamp8 Integer,85161 Integer,85161 Integer,85161 Integer,85161
...
>Time<-data.frame(rbind(timestamp3,timestamp4,timestamp5,timestamp6,timestamp7,timestamp8,timestamp9,
timestamp10,timestamp11,timestamp12,timestamp13,timestamp14,timestamp15,timestamp16))
>head(Time) # did not work
If time column is work, I can try to implement aggregate function, but it
didn't work.
Please tell me how I figure it out.
Best Regards,
Marine
2014/1/21 PIKAL Petr <petr.pi...@precheza.cz<mailto:petr.pi...@precheza.cz>>
Hi
see in line
> -----Original Message-----
> From: r-help-boun...@r-project.org<mailto:r-help-boun...@r-project.org>
> [mailto:r-help-bounces@r-<mailto:r-help-bounces@r->
> project.org<http://project.org>] On Behalf Of Lee Marine
> Sent: Tuesday, January 21, 2014 7:17 AM
> To: r-help@r-project.org<mailto:r-help@r-project.org>
> Subject: [R] My problem with R
>
> Hi, I am a student in trouble with R.
> please help me!
>
> I have a 16 huge data(.csv).
>
> data1<-read.csv(D://data1.csv, header=FALSE) .
> .
> .
> data16<-read.csv(D://data16.csv, header=FALSE)
>
> and then, I tried to seperated data w/ column.
>
> a1<-cbind(data1[1:36568,1])
> b1<-cbind(data1[1:36568,2])
> .
> .
> .
> ac16<-cbind(data16[1:85207,31])
>
> a column is a Date(yyyy-mm-dd)
> b column is a Time(hh:mm:ss)
> c to ac is a numeric data.
>
> finished this work, use "rbind" function.
>
> date<-rbind(a1,a2,a3,a4,.....,a16)
> time<-rbind(b1,b2,b3,..........,b16)
> .
> .
> .
> .
> ac<-rbind(ac1,ac2,ac3,...,ac16)
>
> I want to see yyyy-mm-dd format, but It does not work.
> >b
> [,1]
> [1,] 17753
> [2,] 17754
> [3,] 17755
> [4,] 17756
> [5,] 17757
> [6,] 17758
>
> >a
> [,1]
> [1,] 1
> [2,] 1
> [3,] 1
> [4,] 1
> [5,] 1
> [6,] 1
>
> I don't know why...
It is because you did not bother to make a glimpse to R-Intro to learn about
data types and how to work with them.
1. Reading such data to R means that they are transformed to character or
factor. See
?str
?factor
2. Functions rbind and cbind produce matrices if input is not a data frame.
Matrices can not hold different types of data as data frames.
> Question 1.
> I want to paste a and b >> yyyy-mm-dd hh:mm:ss
timestamp <-strptime(paste(data1[,1], data1[,2], sep=" "), format = ....)
see
?paste
?strptime
?as.POSIXct
how to do it exactly
>
> Question 2.
> I want to averaging mean, median for every each minute groups.
> for example)
see
?aggregate
for averaging and
?format
how to specify minute chunks.
Final remarks.
If you prototype the code for one file, you can do all computation in cycle.
Do not post in HTML
Post some data eg. by dput
Do your homework and read help pages. They are available, usually well written
and much effort is invested to them to be simply overlooked.
Regards
Petr
> Time c d e f
> . .
> .
> 2014-01-20 00:00:00 3.1428 1.99 0.123455 7.5526 2014-01-20 00:00:01
> 3.1887 1.03 0.176545 7.5234 2014-01-20 00:00:02 2.1876 1.27 0.987455
> 7.5996 ...
> 2014-01-20 00:01:00 5.4428 1.96 0.164455 7.8666 2014-01-20 00:01:01
> 1.5658 1.39 0.176545 7.7786 2014-01-20 00:01:02 3.1776 1.67 0.254655
> 7.4567
>
> then,
> Time average_C c d e
> f . . .
> 2014-01-20 00:00:00 here 3.1428 1.99 0.123455 7.5526
> 2014-01-20 00:00:01 3.1887 1.03 0.176545 7.5234
> 2014-01-20 00:00:02 2.1876 1.27 0.987455 7.5996
> ...
> 2014-01-20 00:01:00 here 5.4428 1.96 0.164455 7.8666
> 2014-01-20 00:01:01 1.5658 1.39 0.176545 7.7786
> 2014-01-20 00:01:02 3.1776 1.67 0.254655 7.4567
>
> PLEASE HELP ME, R-help!!!
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help@r-project.org<mailto:R-help@r-project.org> mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-
> guide.html
> and provide commented, minimal, self-contained, reproducible code.
________________________________
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