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Bertolt Meyer

2009-Dec-22 10:42 UTC

[R] vector indexing problem in multilevel data: assigning a specific value to all group members

Dear List,

I work with multilevel data from psychological group experiments and  
have frequently encountered a situation for which I haven't found an  
elegant solution: I need to assign the value of a specific group  
member to all members of the group. For example, I have a group leader  
(identified by a binary vector) and some attribute for all group  
members. I want to create a new vector that holds the attribute of the  
group leader for each individual in the data frame (code at the bottom  
of the post):

   personId groupId groupLeader someAttribute leaderAttribute
1        1      17           0   0.145833333              NA
2        2      17           1   0.218750000              NA
3        3      17           0   0.089743590              NA
4        4      22           0   0.003875969              NA
5        5      22           0   0.086486486              NA
6        6      22           0   0.218750000              NA
7        7      22           1   0.089743590              NA
8        8      37           1   0.016129032              NA
9        9      37           0   0.151898734              NA

I need this:

   personId groupId groupLeader someAttribute leaderAttribute
1        1      17           0   0.145833333     0.218750000
2        2      17           1   0.218750000     0.218750000
3        3      17           0   0.089743590     0.218750000
4        4      22           0   0.003875969     0.089743590
5        5      22           0   0.086486486     0.089743590
6        6      22           0   0.218750000     0.089743590
7        7      22           1   0.089743590     0.089743590
8        8      37           1   0.016129032     0.016129032
9        9      37           0   0.151898734     0.016129032

So far, my attemps along the lines of

df$leaderAttribute <- df$someAttribute[df$groupLeader == 1][df$groupId]

have failed if the groups were not numbered with 1, 2, 3... as in the  
example above. I need something simple for transforming the groupId  
vector from 17, 17, 17, 22... to 1,1,1,2... for doing the second  
indexing. It seems like a simple problem, but I am unable to get it  
right. I had to fall back to building a specific function employing  
nested for() loops for achieving this. However, this is error prone  
and very slow, as some of my data sets are very large. What am I  
missing?

Any help would be greatly appreciated.
Regards,
Bertolt

Code:

personId <- c(1,2,3,4,5,6,7,8,9)
groupId <- c(17,17,17,22,22,22,22,37,37)
groupLeader <- c(0,1,0,0,0,0,1,1,0)
someAttribute <- c(0.145833333, 0.218750000, 0.089743590, 0.003875969,  
0.086486486, 0.218750000, 0.089743590, 0.016129032, 0.151898734)
leaderAttribute <- c(NA,NA,NA,NA,NA,NA,NA,NA,NA)

df <- cbind(personId, groupId, groupLeader, someAttribute,  
leaderAttribute)
df <- as.data.frame(df)
df

rm(personId, groupId, groupLeader, someAttribute, leaderAttribute, df)

-- 
Dr. Bertolt Meyer
Senior research and teaching associate
Social Psychology, Institute of Psychology, University of Zurich
Binzmuehlestrasse 14, Box 15
CH-8050 Zurich
Switzerland

bmeyer at sozpsy.uzh.ch
tel:   +41446357282
fax:   +41446357279

Dimitris Rizopoulos

2009-Dec-22 11:05 UTC

head link

[R] vector indexing problem in multilevel data: assigning a specific value to all group members

one approach is:

Dat <- read.table(textConnection("
   personId groupId groupLeader someAttribute leaderAttribute
1        1      17           0   0.145833333              NA
2        2      17           1   0.218750000              NA
3        3      17           0   0.089743590              NA
4        4      22           0   0.003875969              NA
5        5      22           0   0.086486486              NA
6        6      22           0   0.218750000              NA
7        7      22           1   0.089743590              NA
8        8      37           1   0.016129032              NA
9        9      37           0   0.151898734              NA
"), header = TRUE)
closeAllConnections()

Dat$leaderAttribute <- with(Dat, {
     f <- factor(groupId, levels = unique(groupId))
     rep(tapply(someAttribute, list(f, groupLeader), "[", 1)[, 2],
         tapply(someAttribute, f, length))
})

Dat


I hope it helps.

Best,
Dimitris


Bertolt Meyer wrote:> Dear List,
> 
> I work with multilevel data from psychological group experiments and 
> have frequently encountered a situation for which I haven't found an 
> elegant solution: I need to assign the value of a specific group member 
> to all members of the group. For example, I have a group leader 
> (identified by a binary vector) and some attribute for all group 
> members. I want to create a new vector that holds the attribute of the 
> group leader for each individual in the data frame (code at the bottom 
> of the post):
> 
>   personId groupId groupLeader someAttribute leaderAttribute
> 1        1      17           0   0.145833333              NA
> 2        2      17           1   0.218750000              NA
> 3        3      17           0   0.089743590              NA
> 4        4      22           0   0.003875969              NA
> 5        5      22           0   0.086486486              NA
> 6        6      22           0   0.218750000              NA
> 7        7      22           1   0.089743590              NA
> 8        8      37           1   0.016129032              NA
> 9        9      37           0   0.151898734              NA
> 
> I need this:
> 
>   personId groupId groupLeader someAttribute leaderAttribute
> 1        1      17           0   0.145833333     0.218750000
> 2        2      17           1   0.218750000     0.218750000
> 3        3      17           0   0.089743590     0.218750000
> 4        4      22           0   0.003875969     0.089743590
> 5        5      22           0   0.086486486     0.089743590
> 6        6      22           0   0.218750000     0.089743590
> 7        7      22           1   0.089743590     0.089743590
> 8        8      37           1   0.016129032     0.016129032
> 9        9      37           0   0.151898734     0.016129032
> 
> So far, my attemps along the lines of
> 
> df$leaderAttribute <- df$someAttribute[df$groupLeader == 1][df$groupId]
> 
> have failed if the groups were not numbered with 1, 2, 3... as in the 
> example above. I need something simple for transforming the groupId 
> vector from 17, 17, 17, 22... to 1,1,1,2... for doing the second 
> indexing. It seems like a simple problem, but I am unable to get it 
> right. I had to fall back to building a specific function employing 
> nested for() loops for achieving this. However, this is error prone and 
> very slow, as some of my data sets are very large. What am I missing?
> 
> Any help would be greatly appreciated.
> Regards,
> Bertolt
> 
> Code:
> 
> personId <- c(1,2,3,4,5,6,7,8,9)
> groupId <- c(17,17,17,22,22,22,22,37,37)
> groupLeader <- c(0,1,0,0,0,0,1,1,0)
> someAttribute <- c(0.145833333, 0.218750000, 0.089743590, 0.003875969, 
> 0.086486486, 0.218750000, 0.089743590, 0.016129032, 0.151898734)
> leaderAttribute <- c(NA,NA,NA,NA,NA,NA,NA,NA,NA)
> 
> df <- cbind(personId, groupId, groupLeader, someAttribute,
leaderAttribute)
> df <- as.data.frame(df)
> df
> 
> rm(personId, groupId, groupLeader, someAttribute, leaderAttribute, df)
> 
-- 
Dimitris Rizopoulos
Assistant Professor
Department of Biostatistics
Erasmus University Medical Center

Address: PO Box 2040, 3000 CA Rotterdam, the Netherlands
Tel: +31/(0)10/7043478
Fax: +31/(0)10/7043014

Henrique Dallazuanna

2009-Dec-22 11:08 UTC

head link

[R] vector indexing problem in multilevel data: assigning a specific value to all group members

Try this:

merge(df, subset(df, groupLeader == 1, select = c(groupId,
someAttribute)), by = "groupId")[,-5]


On Tue, Dec 22, 2009 at 8:42 AM, Bertolt Meyer <bmeyer at sozpsy.uzh.ch>
wrote:> Dear List,
>
> I work with multilevel data from psychological group experiments and have
> frequently encountered a situation for which I haven't found an elegant
> solution: I need to assign the value of a specific group member to all
> members of the group. For example, I have a group leader (identified by a
> binary vector) and some attribute for all group members. I want to create a
> new vector that holds the attribute of the group leader for each individual
> in the data frame (code at the bottom of the post):
>
> ?personId groupId groupLeader someAttribute leaderAttribute
> 1 ? ? ? ?1 ? ? ?17 ? ? ? ? ? 0 ? 0.145833333 ? ? ? ? ? ? ?NA
> 2 ? ? ? ?2 ? ? ?17 ? ? ? ? ? 1 ? 0.218750000 ? ? ? ? ? ? ?NA
> 3 ? ? ? ?3 ? ? ?17 ? ? ? ? ? 0 ? 0.089743590 ? ? ? ? ? ? ?NA
> 4 ? ? ? ?4 ? ? ?22 ? ? ? ? ? 0 ? 0.003875969 ? ? ? ? ? ? ?NA
> 5 ? ? ? ?5 ? ? ?22 ? ? ? ? ? 0 ? 0.086486486 ? ? ? ? ? ? ?NA
> 6 ? ? ? ?6 ? ? ?22 ? ? ? ? ? 0 ? 0.218750000 ? ? ? ? ? ? ?NA
> 7 ? ? ? ?7 ? ? ?22 ? ? ? ? ? 1 ? 0.089743590 ? ? ? ? ? ? ?NA
> 8 ? ? ? ?8 ? ? ?37 ? ? ? ? ? 1 ? 0.016129032 ? ? ? ? ? ? ?NA
> 9 ? ? ? ?9 ? ? ?37 ? ? ? ? ? 0 ? 0.151898734 ? ? ? ? ? ? ?NA
>
> I need this:
>
> ?personId groupId groupLeader someAttribute leaderAttribute
> 1 ? ? ? ?1 ? ? ?17 ? ? ? ? ? 0 ? 0.145833333 ? ? 0.218750000
> 2 ? ? ? ?2 ? ? ?17 ? ? ? ? ? 1 ? 0.218750000 ? ? 0.218750000
> 3 ? ? ? ?3 ? ? ?17 ? ? ? ? ? 0 ? 0.089743590 ? ? 0.218750000
> 4 ? ? ? ?4 ? ? ?22 ? ? ? ? ? 0 ? 0.003875969 ? ? 0.089743590
> 5 ? ? ? ?5 ? ? ?22 ? ? ? ? ? 0 ? 0.086486486 ? ? 0.089743590
> 6 ? ? ? ?6 ? ? ?22 ? ? ? ? ? 0 ? 0.218750000 ? ? 0.089743590
> 7 ? ? ? ?7 ? ? ?22 ? ? ? ? ? 1 ? 0.089743590 ? ? 0.089743590
> 8 ? ? ? ?8 ? ? ?37 ? ? ? ? ? 1 ? 0.016129032 ? ? 0.016129032
> 9 ? ? ? ?9 ? ? ?37 ? ? ? ? ? 0 ? 0.151898734 ? ? 0.016129032
>
> So far, my attemps along the lines of
>
> df$leaderAttribute <- df$someAttribute[df$groupLeader == 1][df$groupId]
>
> have failed if the groups were not numbered with 1, 2, 3... as in the
> example above. I need something simple for transforming the groupId vector
> from 17, 17, 17, 22... to 1,1,1,2... for doing the second indexing. It
seems
> like a simple problem, but I am unable to get it right. I had to fall back
> to building a specific function employing nested for() loops for achieving
> this. However, this is error prone and very slow, as some of my data sets
> are very large. What am I missing?
>
> Any help would be greatly appreciated.
> Regards,
> Bertolt
>
> Code:
>
> personId <- c(1,2,3,4,5,6,7,8,9)
> groupId <- c(17,17,17,22,22,22,22,37,37)
> groupLeader <- c(0,1,0,0,0,0,1,1,0)
> someAttribute <- c(0.145833333, 0.218750000, 0.089743590, 0.003875969,
> 0.086486486, 0.218750000, 0.089743590, 0.016129032, 0.151898734)
> leaderAttribute <- c(NA,NA,NA,NA,NA,NA,NA,NA,NA)
>
> df <- cbind(personId, groupId, groupLeader, someAttribute,
leaderAttribute)
> df <- as.data.frame(df)
> df
>
> rm(personId, groupId, groupLeader, someAttribute, leaderAttribute, df)
>
> --
> Dr. Bertolt Meyer
> Senior research and teaching associate
> Social Psychology, Institute of Psychology, University of Zurich
> Binzmuehlestrasse 14, Box 15
> CH-8050 Zurich
> Switzerland
>
> bmeyer at sozpsy.uzh.ch
> tel: ? +41446357282
> fax: ? +41446357279
>
> ______________________________________________
> 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.
>


-- 
Henrique Dallazuanna
Curitiba-Paran?-Brasil
25? 25' 40" S 49? 16' 22" O

Gabor Grothendieck

2009-Dec-22 13:57 UTC

head link

[R] vector indexing problem in multilevel data: assigning a specific value to all group members

Try this. The function f takes a vector of indices and returns the
attribute for the unique groupLeader row among them.  We use ave to
apply to each set of indices having a common groupId.

f <- function(ix) with(df[ix,], someAttribute[groupLeader == 1])
transform(df, leaderAttribute = ave(1:nrow(df), df$groupId, FUN = f))



On Tue, Dec 22, 2009 at 5:42 AM, Bertolt Meyer <bmeyer at sozpsy.uzh.ch>
wrote:> Dear List,
>
> I work with multilevel data from psychological group experiments and have
> frequently encountered a situation for which I haven't found an elegant
> solution: I need to assign the value of a specific group member to all
> members of the group. For example, I have a group leader (identified by a
> binary vector) and some attribute for all group members. I want to create a
> new vector that holds the attribute of the group leader for each individual
> in the data frame (code at the bottom of the post):
>
> ?personId groupId groupLeader someAttribute leaderAttribute
> 1 ? ? ? ?1 ? ? ?17 ? ? ? ? ? 0 ? 0.145833333 ? ? ? ? ? ? ?NA
> 2 ? ? ? ?2 ? ? ?17 ? ? ? ? ? 1 ? 0.218750000 ? ? ? ? ? ? ?NA
> 3 ? ? ? ?3 ? ? ?17 ? ? ? ? ? 0 ? 0.089743590 ? ? ? ? ? ? ?NA
> 4 ? ? ? ?4 ? ? ?22 ? ? ? ? ? 0 ? 0.003875969 ? ? ? ? ? ? ?NA
> 5 ? ? ? ?5 ? ? ?22 ? ? ? ? ? 0 ? 0.086486486 ? ? ? ? ? ? ?NA
> 6 ? ? ? ?6 ? ? ?22 ? ? ? ? ? 0 ? 0.218750000 ? ? ? ? ? ? ?NA
> 7 ? ? ? ?7 ? ? ?22 ? ? ? ? ? 1 ? 0.089743590 ? ? ? ? ? ? ?NA
> 8 ? ? ? ?8 ? ? ?37 ? ? ? ? ? 1 ? 0.016129032 ? ? ? ? ? ? ?NA
> 9 ? ? ? ?9 ? ? ?37 ? ? ? ? ? 0 ? 0.151898734 ? ? ? ? ? ? ?NA
>
> I need this:
>
> ?personId groupId groupLeader someAttribute leaderAttribute
> 1 ? ? ? ?1 ? ? ?17 ? ? ? ? ? 0 ? 0.145833333 ? ? 0.218750000
> 2 ? ? ? ?2 ? ? ?17 ? ? ? ? ? 1 ? 0.218750000 ? ? 0.218750000
> 3 ? ? ? ?3 ? ? ?17 ? ? ? ? ? 0 ? 0.089743590 ? ? 0.218750000
> 4 ? ? ? ?4 ? ? ?22 ? ? ? ? ? 0 ? 0.003875969 ? ? 0.089743590
> 5 ? ? ? ?5 ? ? ?22 ? ? ? ? ? 0 ? 0.086486486 ? ? 0.089743590
> 6 ? ? ? ?6 ? ? ?22 ? ? ? ? ? 0 ? 0.218750000 ? ? 0.089743590
> 7 ? ? ? ?7 ? ? ?22 ? ? ? ? ? 1 ? 0.089743590 ? ? 0.089743590
> 8 ? ? ? ?8 ? ? ?37 ? ? ? ? ? 1 ? 0.016129032 ? ? 0.016129032
> 9 ? ? ? ?9 ? ? ?37 ? ? ? ? ? 0 ? 0.151898734 ? ? 0.016129032
>
> So far, my attemps along the lines of
>
> df$leaderAttribute <- df$someAttribute[df$groupLeader == 1][df$groupId]
>
> have failed if the groups were not numbered with 1, 2, 3... as in the
> example above. I need something simple for transforming the groupId vector
> from 17, 17, 17, 22... to 1,1,1,2... for doing the second indexing. It
seems
> like a simple problem, but I am unable to get it right. I had to fall back
> to building a specific function employing nested for() loops for achieving
> this. However, this is error prone and very slow, as some of my data sets
> are very large. What am I missing?
>
> Any help would be greatly appreciated.
> Regards,
> Bertolt
>
> Code:
>
> personId <- c(1,2,3,4,5,6,7,8,9)
> groupId <- c(17,17,17,22,22,22,22,37,37)
> groupLeader <- c(0,1,0,0,0,0,1,1,0)
> someAttribute <- c(0.145833333, 0.218750000, 0.089743590, 0.003875969,
> 0.086486486, 0.218750000, 0.089743590, 0.016129032, 0.151898734)
> leaderAttribute <- c(NA,NA,NA,NA,NA,NA,NA,NA,NA)
>
> df <- cbind(personId, groupId, groupLeader, someAttribute,
leaderAttribute)
> df <- as.data.frame(df)
> df
>
> rm(personId, groupId, groupLeader, someAttribute, leaderAttribute, df)
>
> --
> Dr. Bertolt Meyer
> Senior research and teaching associate
> Social Psychology, Institute of Psychology, University of Zurich
> Binzmuehlestrasse 14, Box 15
> CH-8050 Zurich
> Switzerland
>
> bmeyer at sozpsy.uzh.ch
> tel: ? +41446357282
> fax: ? +41446357279
>
> ______________________________________________
> 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.
>

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