R help - Nov 2012 - R help..subsetting data frame that meeting multiple criteria

Hi,
I am new to R.  I am trying to regroup data frame using multiple constrains.
for example

data frame: data
  value	class	percent
15526	36	4.6875
15527	62	85.9375
15527	82	32.4564
15528	36	70.3125
15528	62	9.375
15528	82	74.6875

I need to regroup each class that have greater than or equal to 70 percent
into new group. Similarly, I also need to regroup each class that have less
than 70 percent into new group.

I can do this by using following syntax for each class
class36<- data[data$class==36&data$percent>70,]
class36a<- data[data$class==36&data$percent<=70,]
but I have 100 different classes. In order to do this for all 100 classes, I
have write that syntax 100 times. There would be some way to do dynamically
to regroup for 100 classes (may be using for loop) but I dont know. Can you
please help in this. 
Output should be like
data frame: class36
value	class	percent
15528	36	70.3125

data frame: class36a
value	class	percent
15526	36	4.6875

data frame: class62
15527	62	85.9375

data frame: class62a
15528	62	9.375

data frame: class82
15528	82	74.6875

data frame: class82a
15527	82	32.4564

Thank you very much your help..
P.



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On Nov 23, 2012, at 1:14 PM, prasmas wrote:
> Hi,
> I am new to R.  I am trying to regroup data frame using multiple  
> constrains.
> for example
>
> data frame: data
>  value	class	percent
> 15526	36	4.6875
> 15527	62	85.9375
> 15527	82	32.4564
> 15528	36	70.3125
> 15528	62	9.375
> 15528	82	74.6875
>
> I need to regroup each class that have greater than or equal to 70  
> percent
> into new group. Similarly, I also need to regroup each class that  
> have less
> than 70 percent into new group.
>
> I can do this by using following syntax for each class
> class36<- data[data$class==36&data$percent>70,]
> class36a<- data[data$class==36&data$percent<=70,]
> but I have 100 different classes. In order to do this for all 100  
> classes, I
> have write that syntax 100 times. There would be some way to do  
> dynamically
> to regroup for 100 classes (may be using for loop) but I dont know.  
> Can you
> please help in this.
> Output should be like
> data frame: class36
> value	class	percent
> 15528	36	70.3125
>
> data frame: class36a
> value	class	percent
> 15526	36	4.6875
>
 > dat.a <- dat[ dat[["class"]] %in% dat[
dat[["percent"]] >70,
"class"] , ]
 > dat.a
   value class percent
1 15526    36  4.6875
2 15527    62 85.9375
3 15527    82 32.4564
4 15528    36 70.3125
5 15528    62  9.3750
6 15528    82 74.6875

 > row.names(dat.a) <- unlist(tapply(dat.a$class, dat.a$class,  
function(x) paste0(x, letters[1:length(x)])))
 > dat.a
     value class percent
36a 15526    36  4.6875
36b 15527    62 85.9375
62a 15527    82 32.4564
62b 15528    36 70.3125
82a 15528    62  9.3750
82b 15528    82 74.6875

You can split by the NROW of dat.a if you want.

-- 
David.
 >
> data frame: class62
> 15527	62	85.9375
>
> data frame: class62a
> 15528	62	9.375
>
> data frame: class82
> 15528	82	74.6875
>
> data frame: class82a
> 15527	82	32.4564
>
> Thank you very much your help..
> P.
>
>
>
> --
> View this message in context:
http://r.789695.n4.nabble.com/R-help-subsetting-data-frame-that-meeting-multiple-criteria-tp4650601.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> 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.
David Winsemius, MD
Alameda, CA, USA

Hello,

Like the following?

dat <- read.table(text="
value class percent
15526 36 4.6875
15527 62 85.9375
15527 82 32.4564
15528 36 70.3125
15528 62 9.375
15528 82 74.6875
", header = TRUE)

per70 <- dat$percent > 70
split(dat, list(dat$class, per70))

Hope this helps,

Rui Barradas
Em 23-11-2012 21:14, prasmas escreveu:
> Hi,
> I am new to R.  I am trying to regroup data frame using multiple
constrains.
> for example
>
> data frame: data
>    value	class	percent
> 15526	36	4.6875
> 15527	62	85.9375
> 15527	82	32.4564
> 15528	36	70.3125
> 15528	62	9.375
> 15528	82	74.6875
>
> I need to regroup each class that have greater than or equal to 70 percent
> into new group. Similarly, I also need to regroup each class that have less
> than 70 percent into new group.
>
> I can do this by using following syntax for each class
> class36<- data[data$class==36&data$percent>70,]
> class36a<- data[data$class==36&data$percent<=70,]
> but I have 100 different classes. In order to do this for all 100 classes,
I
> have write that syntax 100 times. There would be some way to do dynamically
> to regroup for 100 classes (may be using for loop) but I dont know. Can you
> please help in this.
> Output should be like
> data frame: class36
> value	class	percent
> 15528	36	70.3125
>
> data frame: class36a
> value	class	percent
> 15526	36	4.6875
>
> data frame: class62
> 15527	62	85.9375
>
> data frame: class62a
> 15528	62	9.375
>
> data frame: class82
> 15528	82	74.6875
>
> data frame: class82a
> 15527	82	32.4564
>
> Thank you very much your help..
> P.
>
>
>
> --
> View this message in context:
http://r.789695.n4.nabble.com/R-help-subsetting-data-frame-that-meeting-multiple-criteria-tp4650601.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> 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.

Hi David,
Tried the solution on a slightly different data:
dat <- read.table(text="
value class percent
15526 36 4.6875
15527 62 85.9375
15527 82 32.4564
15528 36 70.3125
15528 62 9.375
15528 82 74.6875
15529 72 50.0000
15530 72 50.0000
", header = TRUE)
dat.a <- dat[ dat[["class"]] %in% dat[ dat[["percent"]]
>70, "class"] , ]
?row.names(dat.a) <- unlist(tapply(dat.a$class, dat.a$class, function(x)
paste0(x, letters[1:length(x)])))
?dat.a
#??? value class percent
#36a 15526??? 36? 4.6875
#36b 15527??? 62 85.9375
#62a 15527??? 82 32.4564
#62b 15528??? 36 70.3125
#82a 15528??? 62? 9.3750
#82b 15528??? 82 74.6875


A.K.




----- Original Message -----
From: David Winsemius <dwinsemius at comcast.net>
To: prasmas <prasad4rr at gmail.com>
Cc: r-help at r-project.org
Sent: Friday, November 23, 2012 7:40 PM
Subject: Re: [R] R help..subsetting data frame that meeting multiple criteria


On Nov 23, 2012, at 1:14 PM, prasmas wrote:
> Hi,
> I am new to R.? I am trying to regroup data frame using multiple
constrains.
> for example
> 
> data frame: data
>? value??? class??? percent
> 15526??? 36??? 4.6875
> 15527??? 62??? 85.9375
> 15527??? 82??? 32.4564
> 15528??? 36??? 70.3125
> 15528??? 62??? 9.375
> 15528??? 82??? 74.6875
> 
> I need to regroup each class that have greater than or equal to 70 percent
> into new group. Similarly, I also need to regroup each class that have less
> than 70 percent into new group.
> 
> I can do this by using following syntax for each class
> class36<- data[data$class==36&data$percent>70,]
> class36a<- data[data$class==36&data$percent<=70,]
> but I have 100 different classes. In order to do this for all 100 classes,
I
> have write that syntax 100 times. There would be some way to do dynamically
> to regroup for 100 classes (may be using for loop) but I dont know. Can you
> please help in this.
> Output should be like
> data frame: class36
> value??? class??? percent
> 15528??? 36??? 70.3125
> 
> data frame: class36a
> value??? class??? percent
> 15526??? 36??? 4.6875
> 
> dat.a <- dat[ dat[["class"]] %in% dat[
dat[["percent"]] >70, "class"] , ]
> dat.a
? value class percent
1 15526? ? 36? 4.6875
2 15527? ? 62 85.9375
3 15527? ? 82 32.4564
4 15528? ? 36 70.3125
5 15528? ? 62? 9.3750
6 15528? ? 82 74.6875
> row.names(dat.a) <- unlist(tapply(dat.a$class, dat.a$class, function(x)
paste0(x, letters[1:length(x)])))
> dat.a
? ? value class percent
36a 15526? ? 36? 4.6875
36b 15527? ? 62 85.9375
62a 15527? ? 82 32.4564
62b 15528? ? 36 70.3125
82a 15528? ? 62? 9.3750
82b 15528? ? 82 74.6875

You can split by the NROW of dat.a if you want.

--David.
>
> data frame: class62
> 15527??? 62??? 85.9375
> 
> data frame: class62a
> 15528??? 62??? 9.375
> 
> data frame: class82
> 15528??? 82??? 74.6875
> 
> data frame: class82a
> 15527??? 82??? 32.4564
> 
> Thank you very much your help..
> P.
> 
> 
> 
> --
> View this message in context:
http://r.789695.n4.nabble.com/R-help-subsetting-data-frame-that-meeting-multiple-criteria-tp4650601.html
> Sent from the R help mailing list archive at Nabble.com.
> 
> ______________________________________________
> 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.
David Winsemius, MD
Alameda, CA, USA

______________________________________________
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.

HI,
You could also try this:
dat <- read.table(text="
value class percent
15526 36 4.6875
15527 62 85.9375
15527 82 32.4564
15528 36 70.3125
15528 62 9.375
15528 82 74.6875
15529 72 50.0000
15530 72 50.0000
", header = TRUE)
mat1<-as.matrix(dat)
row.names(mat1)<-paste(dat$class,ave(dat$percent,dat$class,FUN=function(x)
x>70),sep="_")
?mat1
#???? value class percent
#36_0 15526??? 36? 4.6875
#62_1 15527??? 62 85.9375
#82_0 15527??? 82 32.4564
#36_1 15528??? 36 70.3125
#62_0 15528??? 62? 9.3750
#82_1 15528??? 82 74.6875
#72_0 15529??? 72 50.0000
#72_0 15530??? 72 50.0000

If you? want to change 0 and 1 to "a" and "b".
row.names(mat1)<-gsub("1","b",gsub("0","a",row.names(mat1)))
?row.names(mat1)
#[1] "36_a" "62_b" "82_a" "36_b"
"62_a" "82_b" "72_a" "72_a"

Hope it helps.
A.K.


----- Original Message -----
From: prasmas <prasad4rr at gmail.com>
To: r-help at r-project.org
Cc: 
Sent: Friday, November 23, 2012 4:14 PM
Subject: [R] R help..subsetting data frame that meeting multiple criteria

Hi,
I am new to R.? I am trying to regroup data frame using multiple constrains.
for example

data frame: data
? value??? class??? percent
15526??? 36??? 4.6875
15527??? 62??? 85.9375
15527??? 82??? 32.4564
15528??? 36??? 70.3125
15528??? 62??? 9.375
15528??? 82??? 74.6875

I need to regroup each class that have greater than or equal to 70 percent
into new group. Similarly, I also need to regroup each class that have less
than 70 percent into new group.

I can do this by using following syntax for each class
class36<- data[data$class==36&data$percent>70,]
class36a<- data[data$class==36&data$percent<=70,]
but I have 100 different classes. In order to do this for all 100 classes, I
have write that syntax 100 times. There would be some way to do dynamically
to regroup for 100 classes (may be using for loop) but I dont know. Can you
please help in this. 
Output should be like
data frame: class36
value??? class??? percent
15528??? 36??? 70.3125

data frame: class36a
value??? class??? percent
15526??? 36??? 4.6875

data frame: class62
15527??? 62??? 85.9375

data frame: class62a
15528??? 62??? 9.375

data frame: class82
15528??? 82??? 74.6875

data frame: class82a
15527??? 82??? 32.4564

Thank you very much your help..
P.



--
View this message in context:
http://r.789695.n4.nabble.com/R-help-subsetting-data-frame-that-meeting-multiple-criteria-tp4650601.html
Sent from the R help mailing list archive at Nabble.com.

______________________________________________
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.