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Niklas Larson

2013-Feb-12 10:56 UTC

[R] reorganize data

Hi R users,
Wonder if somebody could give me help on how to reshape this type of data:

-----------------------------------------------------------------------------------------------------------------------
Date:10.09.19 Time:21:39:05  Lat:N62.37.18 Long:E018.07.32
0000-0010 |   28|   28
0010-0020|  302|  302
0020-0030|   42|   42
0030-0040|    2|    2
0040-0050|    1|    1
0060-0070|    1|    1
_
Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07
0000-0010|   32|   32
0010-0020|  334|  334
0020-0030|   27|   27
0030-0040|    2|    2
0070-0080|    1|    1
0080-0090|    1|    1
0090-0100|    1|    1
0100-0110|    1|    1
_
Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40
0000-0010|   63|   63
0010-0020|  303|  303
0020-0030|   85|   85
0030-0040|   12|   12
0040-0050|    4|    4
0050-0060|    1|    1
0060-0070|    4|    4
0070-0080|    1|    1

----------------------------------------------------------------------------------------------

into this:

-------------------------------------------------------------------------------------------------
Date:10.09.19 Time:21:39:05 Lat:N62.37.18 Long:E018.07.32 0000-0010|   28|
  28
Date:10.09.19 Time:21:39:05 Lat:N62.37.18 Long:E018.07.32 0010-0020|  302|
 302
Date:10.09.19 Time:21:39:05 Lat:N62.37.18 Long:E018.07.32 0020-0030|   42|
  42
Date:10.09.19 Time:21:39:05 Lat:N62.37.18 Long:E018.07.32 0030-0040|    2|
   2
Date:10.09.19 Time:21:39:05 Lat:N62.37.18 Long:E018.07.32 0040-0050|    1|
   1
Date:10.09.19 Time:21:39:05 Lat:N62.37.18 Long:E018.07.32 0060-0070|    1|
   1
_
Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07 0000-0010|   32|
  32
Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07 0010-0020|  334|
 334
Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07 0020-0030|   27|
  27
Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07 0030-0040|    2|
   2
Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07 0070-0080|    1|
   1
Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07 0080-0090|    1|
   1
Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07 0090-0100|    1|
   1
Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07 0100-0110|    1|
   1
_
Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40 0000-0010|   63|
  63
Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40 0010-0020|  303|
 303
Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40 0020-0030|   85|
  85
Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40 0030-0040|   12|
  12
Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40 0040-0050|    4|
   4
Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40 0050-0060|    1|
   1
Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40 0060-0070|    4|
   4
Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40 0070-0080|    1|
   1

---------------------------------------------------------------------------------------------------------------------------------

Thanx

/Nic

	[[alternative HTML version deleted]]

David Winsemius

2013-Feb-12 16:48 UTC

head link

[R] reorganize data

On Feb 12, 2013, at 2:56 AM, Niklas Larson wrote:
> Hi R users,
> Wonder if somebody could give me help on how to reshape this type of data:
> #Adding a bit of code to read this into R:
Lines <- readLines(textConnection("Date:10.09.19 Time:21:39:05 
Lat:N62.37.18 Long:E018.07.32
0000-0010 |   28|   28
0010-0020|  302|  302
0020-0030|   42|   42
0030-0040|    2|    2
0040-0050|    1|    1
0060-0070|    1|    1
_
Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07
0000-0010|   32|   32
0010-0020|  334|  334
0020-0030|   27|   27
0030-0040|    2|    2
0070-0080|    1|    1
0080-0090|    1|    1
0090-0100|    1|    1
0100-0110|    1|    1
_
Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40
0000-0010|   63|   63
0010-0020|  303|  303
0020-0030|   85|   85
0030-0040|   12|   12
0040-0050|    4|    4
0050-0060|    1|    1
0060-0070|    4|    4
0070-0080|    1|    1"))

> 
>
----------------------------------------------------------------------------------------------
> 
> into this:
> 
>
-------------------------------------------------------------------------------------------------
> Date:10.09.19 Time:21:39:05 Lat:N62.37.18 Long:E018.07.32 0000-0010|   28|
>  28
> Date:10.09.19 Time:21:39:05 Lat:N62.37.18 Long:E018.07.32 0010-0020|  302|
> 302
> Date:10.09.19 Time:21:39:05 Lat:N62.37.18 Long:E018.07.32 0020-0030|   42|
>  42
> 
> Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40 0070-0080|    1|
>   1
> Snipped

This should get you started along one possible path. Still to be done would be
removing the lines that only had dashes and perhaps parsing the headers.

 data.frame(dattimeLatlon = Lines[rep( grep("Date", Lines),
each=diff(numdt))] ,
              vals=Lines[ grep("^[^D]", Lines) ] )    
#----------
                                                dattimeLatlon                  
vals
1  Date:10.09.19 Time:21:39:05  Lat:N62.37.18 Long:E018.07.32 0000-0010 |   28| 
28
2  Date:10.09.19 Time:21:39:05  Lat:N62.37.18 Long:E018.07.32  0010-0020|  302| 
302
3  Date:10.09.19 Time:21:39:05  Lat:N62.37.18 Long:E018.07.32  0020-0030|   42| 
42
4  Date:10.09.19 Time:21:39:05  Lat:N62.37.18 Long:E018.07.32  0030-0040|    2| 
2
5  Date:10.09.19 Time:21:39:05  Lat:N62.37.18 Long:E018.07.32  0040-0050|    1| 
1
6  Date:10.09.19 Time:21:39:05  Lat:N62.37.18 Long:E018.07.32  0060-0070|    1| 
1
7  Date:10.09.19 Time:21:39:05  Lat:N62.37.18 Long:E018.07.32                   
_
8  Date:10.09.19 Time:21:39:05  Lat:N62.37.18 Long:E018.07.32  0000-0010|   32| 
32
9   Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07  0010-0020|  334| 
334
10  Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07  0020-0030|   27| 
27
11  Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07  0030-0040|    2| 
2
12  Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07  0070-0080|    1| 
1
13  Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07  0080-0090|    1| 
1
14  Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07  0090-0100|    1| 
1
15  Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07  0100-0110|    1| 
1
16  Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07                   
_
17  Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40  0000-0010|   63| 
63
18  Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40  0010-0020|  303| 
303
19  Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40  0020-0030|   85| 
85
20  Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40  0030-0040|   12| 
12
21  Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40  0040-0050|    4| 
4
22  Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40  0050-0060|    1| 
1
23  Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40  0060-0070|    4| 
4
24  Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40  0070-0080|    1| 
1

David Winsemius
Alameda, CA, USA

arun

2013-Feb-12 18:28 UTC

head link

[R] reorganize data

Hi,


Lines1 <- readLines(textConnection("Date:10.09.19 Time:21:39:05?
Lat:N62.37.18 Long:E018.07.32
0000-0010 |?? 28|?? 28
0010-0020|? 302|? 302
0020-0030|?? 42|?? 42
0030-0040|??? 2|??? 2
0040-0050|??? 1|??? 1
0060-0070|??? 1|??? 1
_
Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07
0000-0010|?? 32|?? 32
0010-0020|? 334|? 334
0020-0030|?? 27|?? 27
0030-0040|??? 2|??? 2
0070-0080|??? 1|??? 1
0080-0090|??? 1|??? 1
0090-0100|??? 1|??? 1
0100-0110|??? 1|??? 1
_
Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40
0000-0010|?? 63|?? 63
0010-0020|? 303|? 303
0020-0030|?? 85|?? 85
0030-0040|?? 12|?? 12
0040-0050|??? 4|??? 4
0050-0060|??? 1|??? 1
0060-0070|??? 4|??? 4
0070-0080|??? 1|??? 1")) 
Lines2<- Lines1[Lines1!="_"]
indx<- grep("Date",Lines2)
?dat1<- data.frame(
Lines2[rep(indx,diff(c(indx,length(Lines2)+1))-1)],read.table(text=gsub("^\\s+
","",gsub("\\|","",gsub("^\\d+-\\d+|\\s+(.*)","\\1",Lines2[-indx]))),sep="",header=FALSE),stringsAsFactors=FALSE)
?names(dat1)[1]<- "Date_Lat_Long"
head(dat1)
?????????????????????????????????????????????? Date_Lat_Long? V1? V2
#1 Date:10.09.19 Time:21:39:05? Lat:N62.37.18 Long:E018.07.32? 28? 28
#2 Date:10.09.19 Time:21:39:05? Lat:N62.37.18 Long:E018.07.32 302 302
#3 Date:10.09.19 Time:21:39:05? Lat:N62.37.18 Long:E018.07.32? 42? 42
#4 Date:10.09.19 Time:21:39:05? Lat:N62.37.18 Long:E018.07.32?? 2?? 2
#5 Date:10.09.19 Time:21:39:05? Lat:N62.37.18 Long:E018.07.32?? 1?? 1
#6 Date:10.09.19 Time:21:39:05? Lat:N62.37.18 Long:E018.07.32?? 1?? 1


A.K.

----- Original Message -----
From: Niklas Larson <niklar at gmail.com>
To: r-help at r-project.org
Cc: 
Sent: Tuesday, February 12, 2013 5:56 AM
Subject: [R] reorganize data

Hi R users,
Wonder if somebody could give me help on how to reshape this type of data:

-----------------------------------------------------------------------------------------------------------------------
Date:10.09.19 Time:21:39:05? Lat:N62.37.18 Long:E018.07.32
0000-0010 |?  28|?  28
0010-0020|? 302|? 302
0020-0030|?  42|?  42
0030-0040|? ? 2|? ? 2
0040-0050|? ? 1|? ? 1
0060-0070|? ? 1|? ? 1
_
Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07
0000-0010|?  32|?  32
0010-0020|? 334|? 334
0020-0030|?  27|?  27
0030-0040|? ? 2|? ? 2
0070-0080|? ? 1|? ? 1
0080-0090|? ? 1|? ? 1
0090-0100|? ? 1|? ? 1
0100-0110|? ? 1|? ? 1
_
Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40
0000-0010|?  63|?  63
0010-0020|? 303|? 303
0020-0030|?  85|?  85
0030-0040|?  12|?  12
0040-0050|? ? 4|? ? 4
0050-0060|? ? 1|? ? 1
0060-0070|? ? 4|? ? 4
0070-0080|? ? 1|? ? 1

----------------------------------------------------------------------------------------------

into this:

-------------------------------------------------------------------------------------------------
Date:10.09.19 Time:21:39:05 Lat:N62.37.18 Long:E018.07.32 0000-0010|?  28|
? 28
Date:10.09.19 Time:21:39:05 Lat:N62.37.18 Long:E018.07.32 0010-0020|? 302|
302
Date:10.09.19 Time:21:39:05 Lat:N62.37.18 Long:E018.07.32 0020-0030|?  42|
? 42
Date:10.09.19 Time:21:39:05 Lat:N62.37.18 Long:E018.07.32 0030-0040|? ? 2|
?  2
Date:10.09.19 Time:21:39:05 Lat:N62.37.18 Long:E018.07.32 0040-0050|? ? 1|
?  1
Date:10.09.19 Time:21:39:05 Lat:N62.37.18 Long:E018.07.32 0060-0070|? ? 1|
?  1
_
Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07 0000-0010|?  32|
? 32
Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07 0010-0020|? 334|
334
Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07 0020-0030|?  27|
? 27
Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07 0030-0040|? ? 2|
?  2
Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07 0070-0080|? ? 1|
?  1
Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07 0080-0090|? ? 1|
?  1
Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07 0090-0100|? ? 1|
?  1
Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07 0100-0110|? ? 1|
?  1
_
Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40 0000-0010|?  63|
? 63
Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40 0010-0020|? 303|
303
Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40 0020-0030|?  85|
? 85
Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40 0030-0040|?  12|
? 12
Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40 0040-0050|? ? 4|
?  4
Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40 0050-0060|? ? 1|
?  1
Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40 0060-0070|? ? 4|
?  4
Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40 0070-0080|? ? 1|
?  1

---------------------------------------------------------------------------------------------------------------------------------

Thanx

/Nic

??? [[alternative HTML version deleted]]

______________________________________________
R-help at 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.

arun

2013-Feb-12 21:51 UTC

head link

[R] reorganize data

Hi,

Sorry, in my previous reply, I omitted one of the columns.
Lines1 <- readLines(textConnection("Date:10.09.19 Time:21:39:05?
Lat:N62.37.18 Long:E018.07.32
0000-0010 |?? 28|?? 28
0010-0020|? 302|? 302
0020-0030|?? 42|?? 42
0030-0040|??? 2|??? 2
0040-0050|??? 1|??? 1
0060-0070|??? 1|??? 1
_
Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07
0000-0010|?? 32|?? 32
0010-0020|? 334|? 334
0020-0030|?? 27|?? 27
0030-0040|??? 2|??? 2
0070-0080|??? 1|??? 1
0080-0090|??? 1|??? 1
0090-0100|??? 1|??? 1
0100-0110|??? 1|??? 1
_
Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40
0000-0010|?? 63|?? 63
0010-0020|? 303|? 303
0020-0030|?? 85|?? 85
0030-0040|?? 12|?? 12
0040-0050|??? 4|??? 4
0050-0060|??? 1|??? 1
0060-0070|??? 4|??? 4
0070-0080|??? 1|??? 1")) 
Lines2<- Lines1[Lines1!="_"]? 
indx<- grep("Date",Lines2)
#If you need the `values` as separate columns

dat1<-data.frame(Lines2[rep(indx,diff(c(indx,length(Lines2)+1))-1)],read.table(text=Lines2[-indx],sep="|",stringsAsFactors=FALSE),stringsAsFactors=FALSE)
?names(dat1)[1]<- "Date_Lat_Long"
head(dat1,3)
#?????????????????????????????????????????????? Date_Lat_Long???????? V1? V2? V3
#1 Date:10.09.19 Time:21:39:05? Lat:N62.37.18 Long:E018.07.32 0000-0010?? 28? 28
#2 Date:10.09.19 Time:21:39:05? Lat:N62.37.18 Long:E018.07.32? 0010-0020 302 302
#3 Date:10.09.19 Time:21:39:05? Lat:N62.37.18 Long:E018.07.32? 0020-0030? 42? 42
#Or? need it in the format as specified by you:

dat2<-
data.frame(Date_Lat_Long=Lines2[rep(indx,diff(c(indx,length(Lines2)+1))-1)],val=Lines2[-indx],stringsAsFactors=FALSE)
head(dat2,3)
#?????????????????????????????????????????????? Date_Lat_Long
#1 Date:10.09.19 Time:21:39:05? Lat:N62.37.18 Long:E018.07.32
#2 Date:10.09.19 Time:21:39:05? Lat:N62.37.18 Long:E018.07.32
#3 Date:10.09.19 Time:21:39:05? Lat:N62.37.18 Long:E018.07.32
#???????????????????? val
#1 0000-0010 |?? 28|?? 28
#2? 0010-0020|? 302|? 302
#3? 0020-0030|?? 42|?? 42
A.K.






----- Original Message -----
From: Niklas Larson <niklar at gmail.com>
To: r-help at r-project.org
Cc: 
Sent: Tuesday, February 12, 2013 5:56 AM
Subject: [R] reorganize data

Hi R users,
Wonder if somebody could give me help on how to reshape this type of data:

-----------------------------------------------------------------------------------------------------------------------
Date:10.09.19 Time:21:39:05? Lat:N62.37.18 Long:E018.07.32
0000-0010 |?  28|?  28
0010-0020|? 302|? 302
0020-0030|?  42|?  42
0030-0040|? ? 2|? ? 2
0040-0050|? ? 1|? ? 1
0060-0070|? ? 1|? ? 1
_
Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07
0000-0010|?  32|?  32
0010-0020|? 334|? 334
0020-0030|?  27|?  27
0030-0040|? ? 2|? ? 2
0070-0080|? ? 1|? ? 1
0080-0090|? ? 1|? ? 1
0090-0100|? ? 1|? ? 1
0100-0110|? ? 1|? ? 1
_
Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40
0000-0010|?  63|?  63
0010-0020|? 303|? 303
0020-0030|?  85|?  85
0030-0040|?  12|?  12
0040-0050|? ? 4|? ? 4
0050-0060|? ? 1|? ? 1
0060-0070|? ? 4|? ? 4
0070-0080|? ? 1|? ? 1

----------------------------------------------------------------------------------------------

into this:

-------------------------------------------------------------------------------------------------
Date:10.09.19 Time:21:39:05 Lat:N62.37.18 Long:E018.07.32 0000-0010|?  28|
? 28
Date:10.09.19 Time:21:39:05 Lat:N62.37.18 Long:E018.07.32 0010-0020|? 302|
302
Date:10.09.19 Time:21:39:05 Lat:N62.37.18 Long:E018.07.32 0020-0030|?  42|
? 42
Date:10.09.19 Time:21:39:05 Lat:N62.37.18 Long:E018.07.32 0030-0040|? ? 2|
?  2
Date:10.09.19 Time:21:39:05 Lat:N62.37.18 Long:E018.07.32 0040-0050|? ? 1|
?  1
Date:10.09.19 Time:21:39:05 Lat:N62.37.18 Long:E018.07.32 0060-0070|? ? 1|
?  1
_
Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07 0000-0010|?  32|
? 32
Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07 0010-0020|? 334|
334
Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07 0020-0030|?  27|
? 27
Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07 0030-0040|? ? 2|
?  2
Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07 0070-0080|? ? 1|
?  1
Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07 0080-0090|? ? 1|
?  1
Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07 0090-0100|? ? 1|
?  1
Date:10.09.19 Time:21:44:52 Lat:N62.38.00 Long:E018.09.07 0100-0110|? ? 1|
?  1
_
Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40 0000-0010|?  63|
? 63
Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40 0010-0020|? 303|
303
Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40 0020-0030|?  85|
? 85
Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40 0030-0040|?  12|
? 12
Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40 0040-0050|? ? 4|
?  4
Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40 0050-0060|? ? 1|
?  1
Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40 0060-0070|? ? 4|
?  4
Date:10.09.19 Time:21:50:35 Lat:N62.38.42 Long:E018.10.40 0070-0080|? ? 1|
?  1

---------------------------------------------------------------------------------------------------------------------------------

Thanx

/Nic

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R help - Feb 2013 - reorganize data

[R] reorganize data

[R] reorganize data

[R] reorganize data

[R] reorganize data

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