n(x1$a)),]
>> # item a b
>> #3 s 1 41
>> x1[x1$a==which.min(x1$a[x1$a> # item a b
>> #3 s 1 41
>> #11h 1 46
>> #17c 1 48
>> x1[x1$a==which.min(x1$a[x1$a> A.K.
>>
>>
>>
>>
,]
> # item a b
> #3s 1 41
> x1[x1$a==which.min(x1$a[x1$a # item a b
> #3 s 1 41
> #11h 1 46
> #17c 1 48
> x1[x1$a==which.min(x1$a[x1$a A.K.
>
>
> ________________
> From: Dimitri Liakhovitski
> To: arun
> Cc: R help ; Jessica Strei
me(item="f",a=3,b=10,stringsAsFactors=F)
>> x[intersect(which(x$a < y$a),which.min(x$a)),] <- y
>>
>> x
>># item a b
>>#1 a 8 25
>>#2 a 10 26
>>#3 f 3 10 #replaced
>>#4 e 15 26
>>#5 b 13 20
>>
placed
>> #4 e 15 26
>> #5 b 13 20
>> #6 a 5 23
>> #7 d 4 29
>> #8 e 2 24
>> #9 c 7 30
>> #10e 14 24
>> #11d 2 20
>> #12e 10 21
>> #13c 13 27
>> #14d 12 23
>> #15b 11 26
>>
10 #replaced
> #4 e 15 26
> #5 b 13 20
> #6 a 5 23
> #7 d 4 29
> #8 e 2 24
> #9 c 7 30
> #10e 14 24
> #11d 2 20
> #12e 10 21
> #13 c 13 27
> #14d 12 23
> #15 b 11 26
> #16 e 5 22
> #17c 1 2
a==1])
#[1] 3404
x1[x1$a%in%which.min(x1[x1$a
To: r-help
Cc:
Sent: Tuesday, January 29, 2013 4:11 PM
Subject: [R] Fastest way to compare a single value with all values in one
column of a data frame
Hello!
I have a large data frame x:
x<-data.frame(item=letters[1:5],a=1:5,b=11:15) # in actuali
Hi,
I guess you could also use:
x[match(min(x$a),x$a[x$a
To: r-help
Cc:
Sent: Tuesday, January 29, 2013 4:11 PM
Subject: [R] Fastest way to compare a single value with all values in one
column of a data frame
Hello!
I have a large data frame x:
x<-data.frame(item=letters[1:5],a=1:5,b=11
If you wanted this for all values in x that are smaller, i'd use
x[x$a < y$a,] <- y
for just the smallest:
x[intersect(which(x$a < y$a),which.min(x$a)),] <- y
On 29.01.2013, at 22:11, Dimitri Liakhovitski wrote:
> Hello!
>
> I have a large data frame x:
> x<-data.frame(item=letters[1:5],a=1:
y would be to refer "library(sqldf)".
--- On Wed, 30/1/13, Dimitri Liakhovitski
wrote:
From: Dimitri Liakhovitski
Subject: [R] Fastest way to compare a single value with all values in one
column of a data frame
To: "r-help"
Date: Wednesday, 30 January, 2013, 2:41 AM
He
9 matches
Mail list logo
