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
-0010 | 28| 28
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
-0010 | 28|
.
- Original Message -
From: Niklas Larson nik...@gmail.com
To: r-help@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
Lat:N62.37.18 Long:E018.07.32
# val
#1 -0010 | 28| 28
#2 0010-0020| 302| 302
#3 0020-0030| 42| 42
A.K.
- Original Message -
From: Niklas Larson nik...@gmail.com
To: r-help@r-project.org
Cc:
Sent: Tuesday, February 12, 2013 5:56 AM
Subject: [R] reorganize
Hi, thanks for your reply.
I didn't get cast() to work and didn't know how to find information about it
either. I used reshape but then I had to subset only those columns (actually
I have 28 columns of other data) Could cast or reshape work also with more
columns?
Angelica
--
View this
Thank you!
I used this one and it worked really great.
/Angelica
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__
Hi:
On Fri, Jul 15, 2011 at 6:04 AM, anglor angelica.ekens...@dpes.gu.se wrote:
Hi, thanks for your reply.
I didn't get cast() to work and didn't know how to find information about it
either.
Hadley Wickham's home page http://had.co.nz/ has a link (last one
under the heading 'R Packages')
Hi,
I have a data frame of about 700 000 rows which look something like this:
DateTemperature Category
2007102 16 A
2007102 17 B
2007102 18 C
but need it to be:
Date TemperatureA TemperatureB TemperatureC
On Jul 12, 2011, at 8:42 AM, anglor wrote:
Hi,
I have a data frame of about 700 000 rows which look something like
this:
DateTemperature Category
2007102 16 A
2007102 17 B
2007102 18 C
but need it to be:
Date
Hi:
Try the cast() function in the reshape package. Using d as the name of
your data frame,
library(reshape)
cast(d, Date ~ Category, value = 'Temperature')
Date A B C
1 2007102 16 17 18
HTH,
Dennis
On Tue, Jul 12, 2011 at 5:42 AM, anglor angelica.ekens...@dpes.gu.se wrote:
Hi,
I
Hi group,
I am trying to convert the organization of a data frame so I can do some
correlations between stocks,
I have something like this:
stock.returns -
data.frame(rbind(c(MSFT,20110301,0.05),c(MSFT,20110302,0.01),c(GOOG,20110301,-0.01),c(GOOG,20110302,0.04)))
colnames(stock.returns) -
Here's one way:
ans = reshape(stock.returns,idvar='Date',
+varying=list(names(stock.returns)[-1]),
+direction='long',
+times=names(stock.returns)[-1],
+v.names='Return',timevar='Ticker')
rownames(ans) = NULL
ans
Date
Try this:
xtabs(Return ~ Date + Ticker, stock.returns)
On Wed, Mar 16, 2011 at 11:37 AM, chris99 chea...@hotmail.com wrote:
Hi group,
I am trying to convert the organization of a data frame so I can do some
correlations between stocks,
I have something like this:
stock.returns -
require(reshape2)
dcast(stock.returns, Date ~ Ticker)
The numbers were changed from their original values, but if you originally
created the values Return as.numeric they should stay the same
On Wednesday, March 16, 2011 at 9:37 AM, chris99 wrote:
Hi group,
I am trying to convert the
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