Re: [R] Wide to long form conversion
David, thanks a lot for the code! I've learned quite a bit from all
the generous help...
Gang
On Fri, Oct 7, 2011 at 1:37 PM, David Winsemius wrote:
>
> On Oct 7, 2011, at 1:30 PM, David Winsemius wrote:
>
>>
>> On Oct 7, 2011, at 7:40 AM, Gang Chen wrote:
>>
>>> Jim, I really appreciate your help!
>>>
>>> I like the power of rep_n_stack, but how can I use rep_n_stack to get
>>> the following result?
>>>
>>> Subj Group value Ref Var Time
>>> 1 S1 s 4 Me F 1
>>> 2 S1 s 3 Me F 2
>>> 3 S1 s 5 Me J 1
>>> 4 S1 s 6 Me J 2
>>> 5 S1 s 6 She F 1
>>> 6 S1 s 6 She F 2
>>> 7 S1 s 10 She J 1
>>> 8 S1 s 9 She J 2
>>
>> I was not able to construct a one step solution with `reshape` that will
>> contains all the columns. You can do it in about 4 steps by first making the
>> data "long" and then adding annotation columns. Using just rows 1 and 26 you
>> might get:
>>
>> reshape(myData[c(1,26), ], idvar=c("Group","Subj"),
>> direction="long",
>> varying=2:9,
>> v.names=c("value") )
>> Group Subj time value
>> s.S1.1 s S1 1 4
>> w.S26.1 w S26 1 5
>> s.S1.2 s S1 2 5
>> w.S26.2 w S26 2 9
>> s.S1.3 s S1 3 6
>> w.S26.3 w S26 3 4
>> s.S1.4 s S1 4 10
>> w.S26.4 w S26 4 7
>> s.S1.5 s S1 5 3
>> w.S26.5 w S26 5 3
>> s.S1.6 s S1 6 6
>> w.S26.6 w S26 6 7
>> s.S1.7 s S1 7 6
>> w.S26.7 w S26 7 3
>> s.S1.8 s S1 8 9
>> w.S26.8 w S26 8 5
>>
>> The 'time' variable is not really what you wanted but refers to the
>> sequence along the original wide column names
>> You can add the desired Ref, Var and Time columms with these
>> constructions:
>>
>> > str(times<-rep(c(1,2), length=nrow(myData)*8 ) )
>> num [1:408] 1 2 1 2 1 2 1 2 1 2 ...
>> > str(times<-rep(c("F","J"), each=2, length=nrow(myData)*8 ) )
>> chr [1:408] "F" "F" "J" "J" "F" "F" "J" "J" "F" "F" ...
>> > str(times<-rep(c("Me","She"), each=4, length=nrow(myData)*8 ) )
>> chr [1:408] "Me" "Me" "Me" "Me" "She" "She" "She" "She" ...
>>
> It occured to me that the ordering operation probably should have preceded
> teh ancillary column creation so this method is tested:
>
>> longData <- reshape(myData, idvar=c("Group","Subj"),
>> direction="long", #fixed the direction argument
>> varying=2:9,
>> v.names=c("value") )
>> longData <- longData[order(longData$Subj), ]
>> longData$Time <- rep(c(1,2), length=nrow(myData)*8 )
>> longData$Var <- rep(c("F","J"), each=2, length=nrow(myData)*8 )
>> longData$Ref <- rep(c("Me","She"), each=4, length=nrow(myData)*8 )
>>
> Group Subj time value Time Var Ref
> s.S1.1 s S1 1 4 1 F Me
> s.S1.2 s S1 2 5 2 F Me
> s.S1.3 s S1 3 6 1 J Me
> s.S1.4 s S1 4 10 2 J Me
> s.S1.5 s S1 5 3 1 F She
> s.S1.6 s S1 6 6 2 F She
> s.S1.7 s S1 7 6 1 J She
> s.S1.8 s S1 8 9 2 J She
>
>
>>
>> Looking at Jim Lemon's response, I think he just misinterpreted the
>> structure of your data but gave you a perfectly usable response. You could
>> have done much the same thing with a minor modification:
>>
>> > str(rep_n_stack(myData,matrix(c(2,3,6,7,4,5,8,9),nrow=1,byrow=TRUE)))
>> 'data.frame': 408 obs. of 4 variables:
>> $ Group : Factor w/ 2 levels "s","w": 1 1 1 1 1 1 1 1 1 1 ...
>> $ Subj : Factor w/ 51 levels "S1","S10","S11",..: 1 12 23 34 45 48 49 50
>> 51 2 ...
>> $ group1: Factor w/ 8 levels "Me.F.1","Me.F.2",..: 1 1 1 1 1 1 1 1 1 1 ...
>> $ value1: int 4 6 7 8 10 5 13 8 6 14 ...
>>
>> Now you can just split apart the 'group1' column with sub() to make the
>> three specified columns.
>
> Lemon's method has the advantage that it properly carries along the column
> information
>
>> --
>> David.
>>
>>>
>>> On Fri, Oct 7, 2011 at 7:16 AM, Jim Lemon wrote:
On 10/07/2011 07:28 AM, Gang Chen wrote:
>
> I have some data 'myData' in wide form (attached at the end), and
> would like to convert it to long form. I wish to have five variables
> in the result:
>
> 1) Subj: factor
> 2) Group: between-subjects factor (2 levels: s / w)
> 3) Reference: within-subject factor (2 levels: Me / She)
> 4) F: within-subject factor (2 levels: F1 / F2)
> 5) J: within-subject factor (2 levels: J1 / J2)
Hi Gang,
I don't know whether this is the format you want, but:
library(prettyR)
rep_n_stack(mydata,matrix(c(2,3,6,7,4,5,8,9),nrow=2,byrow=TRUE))
Jim
>>>
>
> David Winsemius, MD
> West Hartford, CT
>
>
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http:/
Re: [R] Wide to long form conversion
On Oct 7, 2011, at 1:30 PM, David Winsemius wrote:
On Oct 7, 2011, at 7:40 AM, Gang Chen wrote:
Jim, I really appreciate your help!
I like the power of rep_n_stack, but how can I use rep_n_stack to get
the following result?
Subj Group value Ref Var Time
1S1 s 4 Me F1
2S1 s 3 Me F2
3S1 s 5 Me J1
4S1 s 6 Me J2
5S1 s 6 She F1
6S1 s 6 She F2
7S1 s10 She J1
8S1 s 9 She J2
I was not able to construct a one step solution with `reshape` that
will contains all the columns. You can do it in about 4 steps by
first making the data "long" and then adding annotation columns.
Using just rows 1 and 26 you might get:
reshape(myData[c(1,26), ], idvar=c("Group","Subj"),
direction="long",
varying=2:9,
v.names=c("value") )
Group Subj time value
s.S1.1 s S11 4
w.S26.1 w S261 5
s.S1.2 s S12 5
w.S26.2 w S262 9
s.S1.3 s S13 6
w.S26.3 w S263 4
s.S1.4 s S14 10
w.S26.4 w S264 7
s.S1.5 s S15 3
w.S26.5 w S265 3
s.S1.6 s S16 6
w.S26.6 w S266 7
s.S1.7 s S17 6
w.S26.7 w S267 3
s.S1.8 s S18 9
w.S26.8 w S268 5
The 'time' variable is not really what you wanted but refers to the
sequence along the original wide column names
You can add the desired Ref, Var and Time columms with these
constructions:
> str(times<-rep(c(1,2), length=nrow(myData)*8 ) )
num [1:408] 1 2 1 2 1 2 1 2 1 2 ...
> str(times<-rep(c("F","J"), each=2, length=nrow(myData)*8 ) )
chr [1:408] "F" "F" "J" "J" "F" "F" "J" "J" "F" "F" ...
> str(times<-rep(c("Me","She"), each=4, length=nrow(myData)*8 ) )
chr [1:408] "Me" "Me" "Me" "Me" "She" "She" "She" "She" ...
It occured to me that the ordering operation probably should have
preceded teh ancillary column creation so this method is tested:
longData <- reshape(myData, idvar=c("Group","Subj"),
direction="long",#fixed the direction argument
varying=2:9,
v.names=c("value") )
longData <- longData[order(longData$Subj), ]
longData$Time <- rep(c(1,2), length=nrow(myData)*8 )
longData$Var <- rep(c("F","J"), each=2, length=nrow(myData)*8 )
longData$Ref <- rep(c("Me","She"), each=4, length=nrow(myData)*8 )
Group Subj time value Time Var Ref
s.S1.1 s S11 41 F Me
s.S1.2 s S12 52 F Me
s.S1.3 s S13 61 J Me
s.S1.4 s S14102 J Me
s.S1.5 s S15 31 F She
s.S1.6 s S16 62 F She
s.S1.7 s S17 61 J She
s.S1.8 s S18 92 J She
Looking at Jim Lemon's response, I think he just misinterpreted the
structure of your data but gave you a perfectly usable response. You
could have done much the same thing with a minor modification:
>
str(rep_n_stack(myData,matrix(c(2,3,6,7,4,5,8,9),nrow=1,byrow=TRUE)))
'data.frame': 408 obs. of 4 variables:
$ Group : Factor w/ 2 levels "s","w": 1 1 1 1 1 1 1 1 1 1 ...
$ Subj : Factor w/ 51 levels "S1","S10","S11",..: 1 12 23 34 45 48
49 50 51 2 ...
$ group1: Factor w/ 8 levels "Me.F.1","Me.F.2",..: 1 1 1 1 1 1 1 1 1
1 ...
$ value1: int 4 6 7 8 10 5 13 8 6 14 ...
Now you can just split apart the 'group1' column with sub() to make
the three specified columns.
Lemon's method has the advantage that it properly carries along the
column information
--
David.
On Fri, Oct 7, 2011 at 7:16 AM, Jim Lemon wrote:
On 10/07/2011 07:28 AM, Gang Chen wrote:
I have some data 'myData' in wide form (attached at the end), and
would like to convert it to long form. I wish to have five
variables
in the result:
1) Subj: factor
2) Group: between-subjects factor (2 levels: s / w)
3) Reference: within-subject factor (2 levels: Me / She)
4) F: within-subject factor (2 levels: F1 / F2)
5) J: within-subject factor (2 levels: J1 / J2)
Hi Gang,
I don't know whether this is the format you want, but:
library(prettyR)
rep_n_stack(mydata,matrix(c(2,3,6,7,4,5,8,9),nrow=2,byrow=TRUE))
Jim
David Winsemius, MD
West Hartford, CT
__
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] Wide to long form conversion
On Oct 7, 2011, at 7:40 AM, Gang Chen wrote:
Jim, I really appreciate your help!
I like the power of rep_n_stack, but how can I use rep_n_stack to get
the following result?
Subj Group value Ref Var Time
1S1 s 4 Me F1
2S1 s 3 Me F2
3S1 s 5 Me J1
4S1 s 6 Me J2
5S1 s 6 She F1
6S1 s 6 She F2
7S1 s10 She J1
8S1 s 9 She J2
I was not able to construct a one step solution with `reshape` that
will contains all the columns. You can do it in about 4 steps by first
making the data "long" and then adding annotation columns. Using just
rows 1 and 26 you might get:
reshape(myData[c(1,26), ], idvar=c("Group","Subj"),
direction="long",
varying=2:9,
v.names=c("value") )
Group Subj time value
s.S1.1 s S11 4
w.S26.1 w S261 5
s.S1.2 s S12 5
w.S26.2 w S262 9
s.S1.3 s S13 6
w.S26.3 w S263 4
s.S1.4 s S14 10
w.S26.4 w S264 7
s.S1.5 s S15 3
w.S26.5 w S265 3
s.S1.6 s S16 6
w.S26.6 w S266 7
s.S1.7 s S17 6
w.S26.7 w S267 3
s.S1.8 s S18 9
w.S26.8 w S268 5
The 'time' variable is not really what you wanted but refers to the
sequence along the original wide column names
You can add the desired Ref, Var and Time columms with these
constructions:
> str(times<-rep(c(1,2), length=nrow(myData)*8 ) )
num [1:408] 1 2 1 2 1 2 1 2 1 2 ...
> str(times<-rep(c("F","J"), each=2, length=nrow(myData)*8 ) )
chr [1:408] "F" "F" "J" "J" "F" "F" "J" "J" "F" "F" ...
> str(times<-rep(c("Me","She"), each=4, length=nrow(myData)*8 ) )
chr [1:408] "Me" "Me" "Me" "Me" "She" "She" "She" "She" ...
longData <- reshape(myData, idvar=c("Group","Subj"),
ction="long",
varying=2:9,
v.names=c("value") )
longData$Time <- rep(c(1,2), length=nrow(myData)*8 )
longData$Var <- rep(c("F","J"), each=2, length=nrow(myData)*8 )
longData$Ref <- rep(c("Me","She"), each=4, length=nrow(myData)*8 )
longData <- longData[order(longData$Subj), ]
Looking at Jim Lemon's response, I think he just misinterpreted the
structure of your data but gave you a perfectly usable response. You
could have done much the same thing with a minor modification:
> str(rep_n_stack(myData,matrix(c(2,3,6,7,4,5,8,9),nrow=1,byrow=TRUE)))
'data.frame': 408 obs. of 4 variables:
$ Group : Factor w/ 2 levels "s","w": 1 1 1 1 1 1 1 1 1 1 ...
$ Subj : Factor w/ 51 levels "S1","S10","S11",..: 1 12 23 34 45 48
49 50 51 2 ...
$ group1: Factor w/ 8 levels "Me.F.1","Me.F.2",..: 1 1 1 1 1 1 1 1 1
1 ...
$ value1: int 4 6 7 8 10 5 13 8 6 14 ...
Now you can just split apart the 'group1' column with sub() to make
the three specified columns.
--
David.
On Fri, Oct 7, 2011 at 7:16 AM, Jim Lemon wrote:
On 10/07/2011 07:28 AM, Gang Chen wrote:
I have some data 'myData' in wide form (attached at the end), and
would like to convert it to long form. I wish to have five variables
in the result:
1) Subj: factor
2) Group: between-subjects factor (2 levels: s / w)
3) Reference: within-subject factor (2 levels: Me / She)
4) F: within-subject factor (2 levels: F1 / F2)
5) J: within-subject factor (2 levels: J1 / J2)
Hi Gang,
I don't know whether this is the format you want, but:
library(prettyR)
rep_n_stack(mydata,matrix(c(2,3,6,7,4,5,8,9),nrow=2,byrow=TRUE))
Jim
__
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.
David Winsemius, MD
West Hartford, CT
__
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] Wide to long form conversion
Jim, I really appreciate your help! I like the power of rep_n_stack, but how can I use rep_n_stack to get the following result? Subj Group value Ref Var Time 1S1 s 4 Me F1 2S1 s 3 Me F2 3S1 s 5 Me J1 4S1 s 6 Me J2 5S1 s 6 She F1 6S1 s 6 She F2 7S1 s10 She J1 8S1 s 9 She J2 On Fri, Oct 7, 2011 at 7:16 AM, Jim Lemon wrote: > On 10/07/2011 07:28 AM, Gang Chen wrote: >> >> I have some data 'myData' in wide form (attached at the end), and >> would like to convert it to long form. I wish to have five variables >> in the result: >> >> 1) Subj: factor >> 2) Group: between-subjects factor (2 levels: s / w) >> 3) Reference: within-subject factor (2 levels: Me / She) >> 4) F: within-subject factor (2 levels: F1 / F2) >> 5) J: within-subject factor (2 levels: J1 / J2) > > Hi Gang, > I don't know whether this is the format you want, but: > > library(prettyR) > rep_n_stack(mydata,matrix(c(2,3,6,7,4,5,8,9),nrow=2,byrow=TRUE)) > > Jim > __ 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] Wide to long form conversion
Dennis,
Yes, I was wrong! The variables should be:
1) Subj: factor
2) Group: between-subjects factor (2 levels: s / w)
3) Reference: within-subject factor (2 levels: Me / She)
4) F/J: within-subject factor (2 levels: F / J)
5) Time: within-subject factor (2 levels: 1 / 2)
6) Value
So your mData3 is what I was looking for. Thanks a lot!
Gang
On Thu, Oct 6, 2011 at 9:09 PM, Dennis Murphy wrote:
> Hi:
>
>> I have some data 'myData' in wide form (attached at the end), and
>> would like to convert it to long form. I wish to have five variables
>> in the result:
>>
>> 1) Subj: factor
>> 2) Group: between-subjects factor (2 levels: s / w)
>> 3) Reference: within-subject factor (2 levels: Me / She)
>> 4) F: within-subject factor (2 levels: F1 / F2)
>> 5) J: within-subject factor (2 levels: J1 / J2)
>
> I don't see how you can get all of 3-5 given the way your data is
> structured. The problem is that each column contains two of the three
> variables you want, but not all three. I can see a way to get
>
> Subj Group Ref Time F J
> S1 s Me 1 4 5
> S1 s Me 2 3 6
> S1 s She 1 6 10
> S1 s She 2 6 9
>
> or an 8 line version with Ref (4 Me, 4 She), Factor (F1, J1, F2, J2)
> repeated twice and the appropriate response vector, but not a way
> where you have three columns for Ref, F and J. For example, what is
> the 'J' for MeF1 or the F for SheJ2?
>
> With that, here are a few stabs using the reshape2 package. The first
> step is to do a little renaming of your data frame so that one can use
> the colsplit() function to generate a new set of variables.
>
> names(myData) <- c("Group", "Me_F_1", "Me_J_1", "She_F_1", "She_J_1",
> "Me_F_2", "Me_J_2", "She_F_2", "She_J_2", "Subj")
>
> library('plyr')
> library('reshape2')
>
> # collapses the eight columns to be reshaped into a factor named
> # variable with a corresponding variable named value
> mData <- melt(myData, id = c('Subj', 'Group'))
> head(mData)
>
> # Split the original variables into three new columns, named
> # Ref, Var and Time, respectively:
> newvars <- colsplit(mData$variable, '_', c('Ref', 'Var', 'Time'))
>
> # Append these to the melted data frame and remove 'variable'
> mData2 <- cbind(mData, newvars)[, -3]
>
> # This comes closest to your original intent:
> mData3 <- arrange(mData2, Subj, Ref, Var, Time)
> head(mData3, 8)
>
> Subj Group value Ref Var Time
> 1 S1 s 4 Me F 1
> 2 S1 s 3 Me F 2
> 3 S1 s 5 Me J 1
> 4 S1 s 6 Me J 2
> 5 S1 s 6 She F 1
> 6 S1 s 6 She F 2
> 7 S1 s 10 She J 1
> 8 S1 s 9 She J 2
>
> # Some rearrangements to consider:
> mData4 <- cast(mData3, Subj + Group + Ref + Time ~ Var, value_var = 'value')
> head(mData4, 4)
>
> Subj Group Ref Time F J
> 1 S1 s Me 1 4 5
> 2 S1 s Me 2 3 6
> 3 S1 s She 1 6 10
> 4 S1 s She 2 6 9
>
> mData5 <- cast(mData3, Subj + Group + Ref + Var ~ Time, value_var = 'value')
> head(mData5, 4)
>
> Subj Group Ref Var 1 2
> 1 S1 s Me F 4 3
> 2 S1 s Me J 5 6
> 3 S1 s She F 6 6
> 4 S1 s She J 10 9
>
> If you like this one, it's probably a good idea to rename the last two
> columns 'Time1' and 'Time2' or something similar.
>
> HTH,
> Dennis
>
> On Thu, Oct 6, 2011 at 1:28 PM, Gang Chen wrote:
>> I have some data 'myData' in wide form (attached at the end), and
>> would like to convert it to long form. I wish to have five variables
>> in the result:
>>
>> 1) Subj: factor
>> 2) Group: between-subjects factor (2 levels: s / w)
>> 3) Reference: within-subject factor (2 levels: Me / She)
>> 4) F: within-subject factor (2 levels: F1 / F2)
>> 5) J: within-subject factor (2 levels: J1 / J2)
>>
>> As this is the first time I'm learning such a conversion, could
>> someone help me out?
>>
>> Many thanks,
>> Gang
>>
>>> myData
>>
>> Group MeF1 MeJ1 SheF1 SheJ1 MeF2 MeJ2 SheF2 SheJ2 Subj
>> 1 s 4 5 6 10 3 6 6 9 S1
>> 2 s 6 5 5 6 4 3 5 6 S2
>> 3 s 7 4 6 5 7 4 5 3 S3
>> 4 s 8 5 8 7 7 1 8 6 S4
>> 5 s 10 6 4 7 9 6 4 6 S5
>> 6 s 5 2 4 7 4 1 4 2 S6
>> 7 s 13 2 10 4 11 2 4 3 S7
>> 8 s 8 1 3 11 6 0 3 10 S8
>> 9 s 6 9 5 8 6 8 5 6 S9
>> 10 s 14 5 6 10 13 5 5 10 S10
>> 11 s 15 2 18 2 14 1 18 2 S11
>> 12 s 6 9 4 9 5 11 3 8 S12
>> 13 s 5 5 0 12 4 3 0 8 S13
>> 14 s 5 6 4 9 4 6 2 6 S14
>> 15 s 14 5 12 3 12 3 11 3 S15
>> 16 s
Re: [R] Wide to long form conversion
On 10/07/2011 07:28 AM, Gang Chen wrote: I have some data 'myData' in wide form (attached at the end), and would like to convert it to long form. I wish to have five variables in the result: 1) Subj: factor 2) Group: between-subjects factor (2 levels: s / w) 3) Reference: within-subject factor (2 levels: Me / She) 4) F: within-subject factor (2 levels: F1 / F2) 5) J: within-subject factor (2 levels: J1 / J2) Hi Gang, I don't know whether this is the format you want, but: library(prettyR) rep_n_stack(mydata,matrix(c(2,3,6,7,4,5,8,9),nrow=2,byrow=TRUE)) Jim __ 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] Wide to long form conversion
Hi:
> I have some data 'myData' in wide form (attached at the end), and
> would like to convert it to long form. I wish to have five variables
> in the result:
>
> 1) Subj: factor
> 2) Group: between-subjects factor (2 levels: s / w)
> 3) Reference: within-subject factor (2 levels: Me / She)
> 4) F: within-subject factor (2 levels: F1 / F2)
> 5) J: within-subject factor (2 levels: J1 / J2)
I don't see how you can get all of 3-5 given the way your data is
structured. The problem is that each column contains two of the three
variables you want, but not all three. I can see a way to get
Subj Group Ref Time F J
S1 s Me 1 4 5
S1 s Me 2 3 6
S1 s She1 6 10
S1 s She2 6 9
or an 8 line version with Ref (4 Me, 4 She), Factor (F1, J1, F2, J2)
repeated twice and the appropriate response vector, but not a way
where you have three columns for Ref, F and J. For example, what is
the 'J' for MeF1 or the F for SheJ2?
With that, here are a few stabs using the reshape2 package. The first
step is to do a little renaming of your data frame so that one can use
the colsplit() function to generate a new set of variables.
names(myData) <- c("Group", "Me_F_1", "Me_J_1", "She_F_1", "She_J_1",
"Me_F_2", "Me_J_2", "She_F_2", "She_J_2", "Subj")
library('plyr')
library('reshape2')
# collapses the eight columns to be reshaped into a factor named
# variable with a corresponding variable named value
mData <- melt(myData, id = c('Subj', 'Group'))
head(mData)
# Split the original variables into three new columns, named
# Ref, Var and Time, respectively:
newvars <- colsplit(mData$variable, '_', c('Ref', 'Var', 'Time'))
# Append these to the melted data frame and remove 'variable'
mData2 <- cbind(mData, newvars)[, -3]
# This comes closest to your original intent:
mData3 <- arrange(mData2, Subj, Ref, Var, Time)
head(mData3, 8)
Subj Group value Ref Var Time
1S1 s 4 Me F1
2S1 s 3 Me F2
3S1 s 5 Me J1
4S1 s 6 Me J2
5S1 s 6 She F1
6S1 s 6 She F2
7S1 s10 She J1
8S1 s 9 She J2
# Some rearrangements to consider:
mData4 <- cast(mData3, Subj + Group + Ref + Time ~ Var, value_var = 'value')
head(mData4, 4)
Subj Group Ref Time F J
1 S1 s Me1 4 5
2 S1 s Me2 3 6
3 S1 s She1 6 10
4 S1 s She2 6 9
mData5 <- cast(mData3, Subj + Group + Ref + Var ~ Time, value_var = 'value')
head(mData5, 4)
Subj Group Ref Var 1 2
1 S1 s Me F 4 3
2 S1 s Me J 5 6
3 S1 s She F 6 6
4 S1 s She J 10 9
If you like this one, it's probably a good idea to rename the last two
columns 'Time1' and 'Time2' or something similar.
HTH,
Dennis
On Thu, Oct 6, 2011 at 1:28 PM, Gang Chen wrote:
> I have some data 'myData' in wide form (attached at the end), and
> would like to convert it to long form. I wish to have five variables
> in the result:
>
> 1) Subj: factor
> 2) Group: between-subjects factor (2 levels: s / w)
> 3) Reference: within-subject factor (2 levels: Me / She)
> 4) F: within-subject factor (2 levels: F1 / F2)
> 5) J: within-subject factor (2 levels: J1 / J2)
>
> As this is the first time I'm learning such a conversion, could
> someone help me out?
>
> Many thanks,
> Gang
>
>> myData
>
> Group MeF1 MeJ1 SheF1 SheJ1 MeF2 MeJ2 SheF2 SheJ2 Subj
> 1 s 4 5 6 10 3 6 6 9 S1
> 2 s 6 5 5 6 4 3 5 6 S2
> 3 s 7 4 6 5 7 4 5 3 S3
> 4 s 8 5 8 7 7 1 8 6 S4
> 5 s 10 6 4 7 9 6 4 6 S5
> 6 s 5 2 4 7 4 1 4 2 S6
> 7 s 13 2 10 4 11 2 4 3 S7
> 8 s 8 1 3 11 6 0 3 10 S8
> 9 s 6 9 5 8 6 8 5 6 S9
> 10 s 14 5 6 10 13 5 5 10 S10
> 11 s 15 2 18 2 14 1 18 2 S11
> 12 s 6 9 4 9 5 11 3 8 S12
> 13 s 5 5 0 12 4 3 0 8 S13
> 14 s 5 6 4 9 4 6 2 6 S14
> 15 s 14 5 12 3 12 3 11 3 S15
> 16 s 7 2 11 3 5 2 10 2 S16
> 17 s 1 7 4 5 1 6 3 5 S17
> 18 s 6 2 7 4 6 2 7 4 S18
> 19 s 9 4 8 5 10 4 6 3 S19
> 20 s 8 2 6 5 9 2 6 4 S20
> 21 s 6 5 5 7 6 6 5 5 S21
> 22 s 8 8 3 7 6 7 5 3 S22
> 23 s 11 4 6 7 1 1 6 4 S23
> 24 s 6 3 2 4 6 4 2 2 S24
> 25 s 4 4 6 6 2 3 4
Re: [R] Wide to long form conversion
Thanks for the pointer! I still couldn't figure out how to convert my data because the example at stackoverflow seems to have only one variable (Year) while there are three within-subject variables plus one between-subjects variable. Any further help? Gang On Thu, Oct 6, 2011 at 4:34 PM, Andrew Miles wrote: > Take a look here. > http://stackoverflow.com/questions/2185252/reshaping-data-frame-from-wide-to-long-format > Andrew Miles > Department of Sociology > Duke University > On Oct 6, 2011, at 4:28 PM, Gang Chen wrote: > > I have some data 'myData' in wide form (attached at the end), and > would like to convert it to long form. I wish to have five variables > in the result: > > 1) Subj: factor > 2) Group: between-subjects factor (2 levels: s / w) > 3) Reference: within-subject factor (2 levels: Me / She) > 4) F: within-subject factor (2 levels: F1 / F2) > 5) J: within-subject factor (2 levels: J1 / J2) > > As this is the first time I'm learning such a conversion, could > someone help me out? > > Many thanks, > Gang > > myData > > Group MeF1 MeJ1 SheF1 SheJ1 MeF2 MeJ2 SheF2 SheJ2 Subj > 1 s 4 5 6 10 3 6 6 9 S1 > 2 s 6 5 5 6 4 3 5 6 S2 > 3 s 7 4 6 5 7 4 5 3 S3 > 4 s 8 5 8 7 7 1 8 6 S4 > 5 s 10 6 4 7 9 6 4 6 S5 > 6 s 5 2 4 7 4 1 4 2 S6 > 7 s 13 2 10 4 11 2 4 3 S7 > 8 s 8 1 3 11 6 0 3 10 S8 > 9 s 6 9 5 8 6 8 5 6 S9 > 10 s 14 5 6 10 13 5 5 10 S10 > 11 s 15 2 18 2 14 1 18 2 S11 > 12 s 6 9 4 9 5 11 3 8 S12 > 13 s 5 5 0 12 4 3 0 8 S13 > 14 s 5 6 4 9 4 6 2 6 S14 > 15 s 14 5 12 3 12 3 11 3 S15 > 16 s 7 2 11 3 5 2 10 2 S16 > 17 s 1 7 4 5 1 6 3 5 S17 > 18 s 6 2 7 4 6 2 7 4 S18 > 19 s 9 4 8 5 10 4 6 3 S19 > 20 s 8 2 6 5 9 2 6 4 S20 > 21 s 6 5 5 7 6 6 5 5 S21 > 22 s 8 8 3 7 6 7 5 3 S22 > 23 s 11 4 6 7 1 1 6 4 S23 > 24 s 6 3 2 4 6 4 2 2 S24 > 25 s 4 4 6 6 2 3 4 6 S25 > 26 w 5 9 4 7 3 7 3 5 S26 > 27 w 7 6 3 5 4 1 0 4 S27 > 28 w 10 4 14 2 8 4 10 2 S28 > 29 w 9 7 5 6 8 4 5 3 S29 > 30 w 9 2 7 5 6 2 6 5 S30 > 31 w 6 7 6 7 6 5 5 8 S31 > 32 w 7 6 12 7 6 3 10 7 S32 > 33 w 12 3 8 9 11 3 4 7 S33 > 34 w 12 2 10 5 9 2 6 3 S34 > 35 w 6 3 10 4 5 3 5 3 S35 > 36 w 9 3 9 9 6 3 7 8 S36 > 37 w 5 11 7 7 4 11 3 4 S37 > 38 w 7 4 4 6 7 3 1 5 S38 > 39 w 6 5 1 8 3 3 0 8 S39 > 40 w 10 3 10 2 7 3 7 2 S40 > 41 w 1 11 7 5 1 8 4 3 S41 > 42 w 10 5 6 10 10 4 3 9 S42 > 43 w 6 3 9 2 4 2 6 0 S43 > 44 w 9 5 11 4 5 4 7 3 S44 > 45 w 8 5 6 3 8 4 2 3 S45 > 46 w 8 4 8 7 4 1 2 6 S46 > 47 w 12 2 6 2 10 1 5 2 S47 > 48 w 10 6 9 8 7 5 7 8 S48 > 49 w 13 6 15 1 12 4 14 0 S49 > 50 w 7 8 1 12 4 7 1 11 S50 > 51 w 12 3 9 4 9 1 7 4 S51 > > __ > 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 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] Wide to long form conversion
Take a look here. http://stackoverflow.com/questions/2185252/reshaping-data-frame-from-wide-to-long-format Andrew Miles Department of Sociology Duke University On Oct 6, 2011, at 4:28 PM, Gang Chen wrote: > I have some data 'myData' in wide form (attached at the end), and > would like to convert it to long form. I wish to have five variables > in the result: > > 1) Subj: factor > 2) Group: between-subjects factor (2 levels: s / w) > 3) Reference: within-subject factor (2 levels: Me / She) > 4) F: within-subject factor (2 levels: F1 / F2) > 5) J: within-subject factor (2 levels: J1 / J2) > > As this is the first time I'm learning such a conversion, could > someone help me out? > > Many thanks, > Gang > >> myData > > Group MeF1 MeJ1 SheF1 SheJ1 MeF2 MeJ2 SheF2 SheJ2 Subj > 1 s45 61036 6 9 S1 > 2 s65 5 643 5 6 S2 > 3 s74 6 574 5 3 S3 > 4 s85 8 771 8 6 S4 > 5 s 106 4 796 4 6 S5 > 6 s52 4 741 4 2 S6 > 7 s 13210 4 112 4 3 S7 > 8 s81 31160 310 S8 > 9 s69 5 868 5 6 S9 > 10 s 145 610 135 510 S10 > 11 s 15218 2 14118 2 S11 > 12 s69 4 95 11 3 8 S12 > 13 s55 01243 0 8 S13 > 14 s56 4 946 2 6 S14 > 15 s 14512 3 12311 3 S15 > 16 s7211 35210 2 S16 > 17 s17 4 516 3 5 S17 > 18 s62 7 462 7 4 S18 > 19 s94 8 5 104 6 3 S19 > 20 s82 6 592 6 4 S20 > 21 s65 5 766 5 5 S21 > 22 s88 3 767 5 3 S22 > 23 s 114 6 711 6 4 S23 > 24 s63 2 464 2 2 S24 > 25 s44 6 623 4 6 S25 > 26 w59 4 737 3 5 S26 > 27 w76 3 541 0 4 S27 > 28 w 10414 28410 2 S28 > 29 w97 5 684 5 3 S29 > 30 w92 7 562 6 5 S30 > 31 w67 6 765 5 8 S31 > 32 w7612 76310 7 S32 > 33 w 123 8 9 113 4 7 S33 > 34 w 12210 592 6 3 S34 > 35 w6310 453 5 3 S35 > 36 w93 9 963 7 8 S36 > 37 w5 11 7 74 11 3 4 S37 > 38 w74 4 673 1 5 S38 > 39 w65 1 833 0 8 S39 > 40 w 10310 273 7 2 S40 > 41 w1 11 7 518 4 3 S41 > 42 w 105 610 104 3 9 S42 > 43 w63 9 242 6 0 S43 > 44 w9511 454 7 3 S44 > 45 w85 6 384 2 3 S45 > 46 w84 8 741 2 6 S46 > 47 w 122 6 2 101 5 2 S47 > 48 w 106 9 875 7 8 S48 > 49 w 13615 1 12414 0 S49 > 50 w78 11247 111 S50 > 51 w 123 9 491 7 4 S51 > > __ > 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]] __ 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.
