Thanks a ton!
It was weird because according to me ordering should have by default.
Anyways, your workaround along with Weidong's method are both good
solutions.
On Wed, Apr 4, 2012 at 12:10 PM, Berend Hasselman wrote:
>
> On 04-04-2012, at 07:15, Ashish Agarwal wrote:
>
> > Yes. I was missing th
On 04-04-2012, at 07:15, Ashish Agarwal wrote:
> Yes. I was missing the DROP argument.
> But now the problem is splitting is causing some weird ordering of groups.
Why weird?
> See below:
>
> DF <- read.table(text="
> Houseid,Personid,Tripid,taz
> 1,1,1,4
> 1,1,2,7
> 2,1,1,96
> 2,1,2,4
> 2,1,3
Yes. I was missing the DROP argument.
But now the problem is splitting is causing some weird ordering of groups.
See below:
DF <- read.table(text="
Houseid,Personid,Tripid,taz
1,1,1,4
1,1,2,7
2,1,1,96
2,1,2,4
2,1,3,2
2,2,1,58
3,1,5,7
", header=TRUE, sep=",")
aa <- split(DF, DF[, 1:2], drop=TRUE)
Hello,
Ashish Agarwal wrote
>
> I have a dataframe imported from csv file below:
>
> Houseid,Personid,Tripid,taz
> 1,1,1,4
> 1,1,2,7
> 2,1,1,96
> 2,1,2,4
> 2,1,3,2
> 2,2,1,58
>
> There are three groups identified based on the combination of first and
> second columns. How do I split this data
how about
split(inpfil, paste(inpfil[,1],inpfil[,2],sep=','))
Weidong Gu
On Tue, Apr 3, 2012 at 6:42 PM, Ashish Agarwal
wrote:
> I have a dataframe imported from csv file below:
>
> Houseid,Personid,Tripid,taz
> 1,1,1,4
> 1,1,2,7
> 2,1,1,96
> 2,1,2,4
> 2,1,3,2
> 2,2,1,58
>
> There are three gro
I have a dataframe imported from csv file below:
Houseid,Personid,Tripid,taz
1,1,1,4
1,1,2,7
2,1,1,96
2,1,2,4
2,1,3,2
2,2,1,58
There are three groups identified based on the combination of first and
second columns. How do I split this data frame?
I tried
aa <- split(inpfil, inpfil[,1:2])
but it
6 matches
Mail list logo
