[R] reshaping a data frame

2013-06-10 Thread Abhishek Pratap
Hi Guys

I am trying to cast a data frame but not aggregate the rows for the
same variable.

here is a contrived example.

**input**
temp_df  - 
data.frame(names=c('foo','foo','foo'),variable=c('w','w','w'),value=c(34,65,12))
 temp_df
  names variable value
1   foow34
2   foow65
3   foow12


###
**Want this**

names  w
foo 34
foo 65
foo 12


##
**getting this***
##
 cast(temp_df)
Aggregation requires fun.aggregate: length used as default
  names w
1   foo 3


In real dataset  the categorical column 'variable' will have many more
categorical variable.

Thanks!
-Abhi

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Re: [R] reshaping a data frame

2013-06-10 Thread Adams, Jean
Abhi,

In the example you give, you don't really need to reshape the data ... just
rename the column value to w.

Here's a different example with more than one category ...
tempdf - expand.grid(names=c(foo, bar), variable=letters[1:3])
tempdf$value - rnorm(dim(tempdf)[1])
tempdf
library(reshape)
cast(tempdf)

But, that may not be what you want,  If not, please give an example with
more than one category showing us what you have and what you want.

Jean



On Mon, Jun 10, 2013 at 1:15 AM, Abhishek Pratap abhishek@gmail.comwrote:

 Hi Guys

 I am trying to cast a data frame but not aggregate the rows for the
 same variable.

 here is a contrived example.

 **input**
 temp_df  -
 data.frame(names=c('foo','foo','foo'),variable=c('w','w','w'),value=c(34,65,12))
  temp_df
   names variable value
 1   foow34
 2   foow65
 3   foow12


 ###
 **Want this**
 
 names  w
 foo 34
 foo 65
 foo 12


 ##
 **getting this***
 ##
  cast(temp_df)
 Aggregation requires fun.aggregate: length used as default
   names w
 1   foo 3


 In real dataset  the categorical column 'variable' will have many more
 categorical variable.

 Thanks!
 -Abhi

 __
 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.


[[alternative HTML version deleted]]

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Re: [R] reshaping a data frame

2013-06-10 Thread John Kane
Unless I completely misunderstand what you are doing you don't need to 
aggregate, just drop the one column and rename things

newtemp  -  temp_df[, c(1,3)]
names(newtemp) -  c(names, w)
newtemp


John Kane
Kingston ON Canada


 -Original Message-
 From: abhishek@gmail.com
 Sent: Sun, 9 Jun 2013 23:15:48 -0700
 To: r-help@r-project.org
 Subject: [R] reshaping a data frame
 
 Hi Guys
 
 I am trying to cast a data frame but not aggregate the rows for the
 same variable.
 
 here is a contrived example.
 
 **input**
 temp_df  -
 data.frame(names=c('foo','foo','foo'),variable=c('w','w','w'),value=c(34,65,12))
 temp_df
   names variable value
 1   foow34
 2   foow65
 3   foow12
 
 
 ###
 **Want this**
 
 names  w
 foo 34
 foo 65
 foo 12
 
 
 ##
 **getting this***
 ##
 cast(temp_df)
 Aggregation requires fun.aggregate: length used as default
   names w
 1   foo 3
 
 
 In real dataset  the categorical column 'variable' will have many more
 categorical variable.
 
 Thanks!
 -Abhi
 
 __
 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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Re: [R] reshaping a data frame

2013-06-10 Thread arun
Hi,If your dataset is similar to the one below:
set.seed(24)
temp1_df- 
data.frame(names=rep(c('foo','foo1'),each=6),variable=rep(c('w','x'),times=6),value=sample(25:40,12,replace=TRUE),stringsAsFactors=FALSE)

library(reshape2)
 
res-dcast(within(temp1_df,{Seq1-ave(value,names,variable,FUN=seq_along)}),names+Seq1~variable,value.var=value)[,-2]
res
#  names  w  x
#1   foo 29 28
#2   foo 36 33
#3   foo 35 39
#4  foo1 29 37
#5  foo1 37 29
#6  foo1 34 30
A.K.


- Original Message -
From: Abhishek Pratap abhishek@gmail.com
To: r-help@r-project.org r-help@r-project.org
Cc: 
Sent: Monday, June 10, 2013 2:15 AM
Subject: [R] reshaping a data frame

Hi Guys

I am trying to cast a data frame but not aggregate the rows for the
same variable.

here is a contrived example.

**input**
temp_df  - 
data.frame(names=c('foo','foo','foo'),variable=c('w','w','w'),value=c(34,65,12))
 temp_df
  names variable value
1   foo        w    34
2   foo        w    65
3   foo        w    12


###
**Want this**

names  w
foo         34
foo         65
foo         12


##
**getting this***
##
 cast(temp_df)
Aggregation requires fun.aggregate: length used as default
  names w
1   foo 3


In real dataset  the categorical column 'variable' will have many more
categorical variable.

Thanks!
-Abhi

__
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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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Re: [R] reshaping a data frame

2013-06-10 Thread Abhishek Pratap
Thanks everyone for your quick reply. I think my contrived example hid
the complexity I wanted to show by using only one variable.

@Arun: I think your example is exactly what I was looking for. Very
cool trick with 'ave' and 'seq_along'...just dint occur to me.

Best,
-Abh


 On Mon, Jun 10, 2013 at 7:13 AM, arun smartpink...@yahoo.com wrote:
 Hi,If your dataset is similar to the one below:
 set.seed(24)
 temp1_df- 
 data.frame(names=rep(c('foo','foo1'),each=6),variable=rep(c('w','x'),times=6),value=sample(25:40,12,replace=TRUE),stringsAsFactors=FALSE)

 library(reshape2)
  
 res-dcast(within(temp1_df,{Seq1-ave(value,names,variable,FUN=seq_along)}),names+Seq1~variable,value.var=value)[,-2]
 res
 #  names  w  x
 #1   foo 29 28
 #2   foo 36 33
 #3   foo 35 39
 #4  foo1 29 37
 #5  foo1 37 29
 #6  foo1 34 30
 A.K.


 - Original Message -
 From: Abhishek Pratap abhishek@gmail.com
 To: r-help@r-project.org r-help@r-project.org
 Cc:
 Sent: Monday, June 10, 2013 2:15 AM
 Subject: [R] reshaping a data frame

 Hi Guys

 I am trying to cast a data frame but not aggregate the rows for the
 same variable.

 here is a contrived example.

 **input**
 temp_df  - 
 data.frame(names=c('foo','foo','foo'),variable=c('w','w','w'),value=c(34,65,12))
 temp_df
   names variable value
 1   foow34
 2   foow65
 3   foow12


 ###
 **Want this**
 
 names  w
 foo 34
 foo 65
 foo 12


 ##
 **getting this***
 ##
 cast(temp_df)
 Aggregation requires fun.aggregate: length used as default
   names w
 1   foo 3


 In real dataset  the categorical column 'variable' will have many more
 categorical variable.

 Thanks!
 -Abhi

 __
 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.


__
R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


Re: [R] Reshaping a data frame with a series of factors and 23 repeated measures

2010-03-30 Thread wclapham

Ista,

I have looked at the reshape package and have used Œmelt¹ successfully on
simpler tables.  I tried it here, but have not been successful.  I think I
just need to gain experience.  I am loving R and am having a difficult time
with data structure issues.

I am attaching the data set that I am trying to manipulate.  Ultimately, I
would like to be able to analyze these data with ANOVA and repeated
measures, and also be able to plot  growth,  wt * days.  I appreciate any
help or guidance on references to read that will help me solve my problems.

The data set represents wt over time (starting with days=0, birth day) for
steers.  Factors include Stockering and Finishing treatments.

Regards,

Bill


On 3/29/10 3:39 PM, Ista Zahn [via R]
ml-node+1695531-1043721504-210...@n4.nabble.com wrote:

 Hi Bill, 
 Without an example dataset it's hard to see exactly what you need to
 do. But you can get started by looking at the documentation for the
 reshape function (?reshape), and by looking at the reshape package.
 The reshape package has an associated web page
 (http://had.co.nz/reshape/) with links to papers and other information
 to help you get started.
 
 Best, 
 Ista 
 
 On Mon, Mar 29, 2010 at 3:15 PM, wclapham [hidden email]
 http://n4.nabble.com/user/SendEmail.jtp?type=nodenode=1695531i=0
 http://n4.nabble.com/user/SendEmail.jtp?type=nodeamp;node=1695531amp;i=0
  wrote: 
 
  
  I have a data frame that I created using read.table on a csv spreadsheet.
  The data look like the following:
  
  Steer.ID   stocker.trt   Finish.trt  Date   Days Wt ..
  
  Steer.Id, stocker.trt, Finish.trt are factors-- Date, Days, Wt are data
  that are repeated 23 times (wide format).
  
  I want to reshape the data such that I have the correct Steer.ID,
  stocker.trt, Finish.trt identifying all of the repeated measures data in a
  long  format. 
  
  I am a newbie at R and need to develop the skill in reshaping data, so that
  I can handle routine problems like described above.
  
  Thanks so much in advance for help or advice.
  
  Bill 
  -- 
  View this message in context:
 http://n4.nabble.com/Reshaping-a-data-frame-with-a-series-of-factors-and-23-r
 epeated-measures-tp1695500p1695500.html
  Sent from the R help mailing list archive at Nabble.com.
  
  __
  [hidden email]
 http://n4.nabble.com/user/SendEmail.jtp?type=nodenode=1695531i=1
 http://n4.nabble.com/user/SendEmail.jtp?type=nodeamp;node=1695531amp;i=1
 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.
  
 
 


 
-- 
View this message in context: 
http://n4.nabble.com/Reshaping-a-data-frame-with-a-series-of-factors-and-23-repeated-measures-tp1695500p1745223.html
Sent from the R help mailing list archive at Nabble.com.

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Re: [R] Reshaping a data frame with a series of factors and 23 repeated measures

2010-03-30 Thread Gabor Grothendieck
Try this:

cattle - read.csv(http://n4.nabble.com/attachment/1745223/0/CattleGrowth.csv;)

long - reshape(cattle, dir = long, idvar = Steer.ID,
  varying = list(grep(Date, names(cattle)), grep(Days,
names(cattle)), grep(Wt,names(cattle



On Tue, Mar 30, 2010 at 9:34 AM, wclapham william.clap...@ars.usda.gov wrote:

 Ista,

 I have looked at the reshape package and have used Œmelt¹ successfully on
 simpler tables.  I tried it here, but have not been successful.  I think I
 just need to gain experience.  I am loving R and am having a difficult time
 with data structure issues.

 I am attaching the data set that I am trying to manipulate.  Ultimately, I
 would like to be able to analyze these data with ANOVA and repeated
 measures, and also be able to plot  growth,  wt * days.  I appreciate any
 help or guidance on references to read that will help me solve my problems.

 The data set represents wt over time (starting with days=0, birth day) for
 steers.  Factors include Stockering and Finishing treatments.

 Regards,

 Bill


 On 3/29/10 3:39 PM, Ista Zahn [via R]
 ml-node+1695531-1043721504-210...@n4.nabble.com wrote:

 Hi Bill,
 Without an example dataset it's hard to see exactly what you need to
 do. But you can get started by looking at the documentation for the
 reshape function (?reshape), and by looking at the reshape package.
 The reshape package has an associated web page
 (http://had.co.nz/reshape/) with links to papers and other information
 to help you get started.

 Best,
 Ista

 On Mon, Mar 29, 2010 at 3:15 PM, wclapham [hidden email]
 http://n4.nabble.com/user/SendEmail.jtp?type=nodenode=1695531i=0
 http://n4.nabble.com/user/SendEmail.jtp?type=nodeamp;node=1695531amp;i=0
  wrote:

 
  I have a data frame that I created using read.table on a csv spreadsheet.
  The data look like the following:
 
  Steer.ID   stocker.trt   Finish.trt  Date   Days Wt ..
 
  Steer.Id, stocker.trt, Finish.trt are factors-- Date, Days, Wt are 
  data
  that are repeated 23 times (wide format).
 
  I want to reshape the data such that I have the correct Steer.ID,
  stocker.trt, Finish.trt identifying all of the repeated measures data in a
  long  format.
 
  I am a newbie at R and need to develop the skill in reshaping data, so 
  that
  I can handle routine problems like described above.
 
  Thanks so much in advance for help or advice.
 
  Bill
  --
  View this message in context:
 http://n4.nabble.com/Reshaping-a-data-frame-with-a-series-of-factors-and-23-r
 epeated-measures-tp1695500p1695500.html
  Sent from the R help mailing list archive at Nabble.com.
 
  __
  [hidden email]
 http://n4.nabble.com/user/SendEmail.jtp?type=nodenode=1695531i=1
 http://n4.nabble.com/user/SendEmail.jtp?type=nodeamp;node=1695531amp;i=1
 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.
 





 --
 View this message in context: 
 http://n4.nabble.com/Reshaping-a-data-frame-with-a-series-of-factors-and-23-repeated-measures-tp1695500p1745223.html
 Sent from the R help mailing list archive at Nabble.com.

        [[alternative HTML version deleted]]


 __
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 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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Re: [R] Reshaping a data frame with a series of factors and 23 repeated measures

2010-03-30 Thread Ista Zahn
Hi Bill,
Here is a reshape package version. The key thing to notice is that you
have multiple pieces of information in your original column names.
These can be split out using the colsplit() function:

# Read in the data
cattle - read.csv(http://n4.nabble.com/attachment/1745223/0/CattleGrowth.csv;,
colClasses=character)
# make the naming scheme consistent
names(cattle)[names(cattle) %in% c(Date, Days, Wt)] -
c(Date.0, Days.0, Wt.0)
# melt the data
m.cattle - melt(cattle, id = c(Steer.ID, stocker.trt, Finish.trt))
# split out variable and time info
m.cattle - as.data.frame(cbind(colsplit(m.cattle$variable,
split=\\., names=c(Var, time)), m.cattle))
# get rid of the now-redundant variable column
m.cattle$variable - NULL
# cast the data to put variables back in the columns
long.cattle - cast(m.cattle, ... ~ Var)

Best,
Ista

On Tue, Mar 30, 2010 at 9:34 AM, wclapham william.clap...@ars.usda.gov wrote:

 Ista,

 I have looked at the reshape package and have used Œmelt¹ successfully on
 simpler tables.  I tried it here, but have not been successful.  I think I
 just need to gain experience.  I am loving R and am having a difficult time
 with data structure issues.

 I am attaching the data set that I am trying to manipulate.  Ultimately, I
 would like to be able to analyze these data with ANOVA and repeated
 measures, and also be able to plot  growth,  wt * days.  I appreciate any
 help or guidance on references to read that will help me solve my problems.

 The data set represents wt over time (starting with days=0, birth day) for
 steers.  Factors include Stockering and Finishing treatments.

 Regards,

 Bill


 On 3/29/10 3:39 PM, Ista Zahn [via R]
 ml-node+1695531-1043721504-210...@n4.nabble.com wrote:

 Hi Bill,
 Without an example dataset it's hard to see exactly what you need to
 do. But you can get started by looking at the documentation for the
 reshape function (?reshape), and by looking at the reshape package.
 The reshape package has an associated web page
 (http://had.co.nz/reshape/) with links to papers and other information
 to help you get started.

 Best,
 Ista

 On Mon, Mar 29, 2010 at 3:15 PM, wclapham [hidden email]
 http://n4.nabble.com/user/SendEmail.jtp?type=nodenode=1695531i=0
 http://n4.nabble.com/user/SendEmail.jtp?type=nodeamp;node=1695531amp;i=0
  wrote:

 
  I have a data frame that I created using read.table on a csv spreadsheet.
  The data look like the following:
 
  Steer.ID   stocker.trt   Finish.trt  Date   Days Wt ..
 
  Steer.Id, stocker.trt, Finish.trt are factors-- Date, Days, Wt are 
  data
  that are repeated 23 times (wide format).
 
  I want to reshape the data such that I have the correct Steer.ID,
  stocker.trt, Finish.trt identifying all of the repeated measures data in a
  long  format.
 
  I am a newbie at R and need to develop the skill in reshaping data, so 
  that
  I can handle routine problems like described above.
 
  Thanks so much in advance for help or advice.
 
  Bill
  --
  View this message in context:
 http://n4.nabble.com/Reshaping-a-data-frame-with-a-series-of-factors-and-23-r
 epeated-measures-tp1695500p1695500.html
  Sent from the R help mailing list archive at Nabble.com.
 
  __
  [hidden email]
 http://n4.nabble.com/user/SendEmail.jtp?type=nodenode=1695531i=1
 http://n4.nabble.com/user/SendEmail.jtp?type=nodeamp;node=1695531amp;i=1
 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.
 





 --
 View this message in context: 
 http://n4.nabble.com/Reshaping-a-data-frame-with-a-series-of-factors-and-23-repeated-measures-tp1695500p1745223.html
 Sent from the R help mailing list archive at Nabble.com.

        [[alternative HTML version deleted]]


 __
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 PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
 and provide commented, minimal, self-contained, reproducible code.





-- 
Ista Zahn
Graduate student
University of Rochester
Department of Clinical and Social Psychology
http://yourpsyche.org

__
R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


[R] Reshaping a data frame with a series of factors and 23 repeated measures

2010-03-29 Thread wclapham

I have a data frame that I created using read.table on a csv spreadsheet.
The data look like the following:

Steer.ID   stocker.trt   Finish.trt  Date   Days Wt ..

Steer.Id, stocker.trt, Finish.trt are factors-- Date, Days, Wt are data
that are repeated 23 times (wide format).  

I want to reshape the data such that I have the correct Steer.ID,
stocker.trt, Finish.trt identifying all of the repeated measures data in a
long  format.

I am a newbie at R and need to develop the skill in reshaping data, so that
I can handle routine problems like described above.

Thanks so much in advance for help or advice.

Bill
-- 
View this message in context: 
http://n4.nabble.com/Reshaping-a-data-frame-with-a-series-of-factors-and-23-repeated-measures-tp1695500p1695500.html
Sent from the R help mailing list archive at Nabble.com.

__
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.


Re: [R] Reshaping a data frame with a series of factors and 23 repeated measures

2010-03-29 Thread Ista Zahn
Hi Bill,
Without an example dataset it's hard to see exactly what you need to
do. But you can get started by looking at the documentation for the
reshape function (?reshape), and by looking at the reshape package.
The reshape package has an associated web page
(http://had.co.nz/reshape/) with links to papers and other information
to help you get started.

Best,
Ista

On Mon, Mar 29, 2010 at 3:15 PM, wclapham william.clap...@ars.usda.gov wrote:

 I have a data frame that I created using read.table on a csv spreadsheet.
 The data look like the following:

 Steer.ID   stocker.trt   Finish.trt  Date   Days Wt ..

 Steer.Id, stocker.trt, Finish.trt are factors-- Date, Days, Wt are data
 that are repeated 23 times (wide format).

 I want to reshape the data such that I have the correct Steer.ID,
 stocker.trt, Finish.trt identifying all of the repeated measures data in a
 long  format.

 I am a newbie at R and need to develop the skill in reshaping data, so that
 I can handle routine problems like described above.

 Thanks so much in advance for help or advice.

 Bill
 --
 View this message in context: 
 http://n4.nabble.com/Reshaping-a-data-frame-with-a-series-of-factors-and-23-repeated-measures-tp1695500p1695500.html
 Sent from the R help mailing list archive at Nabble.com.

 __
 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.




-- 
Ista Zahn
Graduate student
University of Rochester
Department of Clinical and Social Psychology
http://yourpsyche.org

__
R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


[R] reshaping a data frame

2009-10-26 Thread Erin Hodgess
Dear R People:

Suppose I have a data.frame, x.df, which has one column and 100 rows.

Sometimes I need to see it as 20 rows and 5 columns, sometimes I need
to see it as 10 rows with 10 columns.

Is there a quick way to make those transformations, please?

Thanks in advance,
Sincerely,
Erin
PS Happy Labour Day in New Zealand!


-- 
Erin Hodgess
Associate Professor
Department of Computer and Mathematical Sciences
University of Houston - Downtown
mailto: erinm.hodg...@gmail.com

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Re: [R] reshaping a data frame

2009-10-26 Thread John Kane
Why not just unlist the data.frame and specify the number of rows in a matrix 
each time you need look at a different layout, assuming I understand the 
question.

Example
===

aa - data.frame(1:100)
bb - unlist(aa)
(cc - matrix(bb, nrow=20))



--- On Mon, 10/26/09, Erin Hodgess erinm.hodg...@gmail.com wrote:

 From: Erin Hodgess erinm.hodg...@gmail.com
 Subject: [R]  reshaping a data frame
 To: R help r-h...@stat.math.ethz.ch
 Received: Monday, October 26, 2009, 4:09 PM
 Dear R People:
 
 Suppose I have a data.frame, x.df, which has one column and
 100 rows.
 
 Sometimes I need to see it as 20 rows and 5 columns,
 sometimes I need
 to see it as 10 rows with 10 columns.
 
 Is there a quick way to make those transformations,
 please?
 
 Thanks in advance,
 Sincerely,
 Erin
[[elided Yahoo spam]]
 
 
 -- 
 Erin Hodgess
 Associate Professor
 Department of Computer and Mathematical Sciences
 University of Houston - Downtown
 mailto: erinm.hodg...@gmail.com
 
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Re: [R] reshaping a data frame

2009-10-26 Thread Jim Lemon

On 10/27/2009 07:09 AM, Erin Hodgess wrote:

Dear R People:

Suppose I have a data.frame, x.df, which has one column and 100 rows.

Sometimes I need to see it as 20 rows and 5 columns, sometimes I need
to see it as 10 rows with 10 columns.

Is there a quick way to make those transformations, please?

   

matrix(unlist(x),nrow=20)

and maybe

byrow=TRUE

depending upon how you want the values distributed.

Jim

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