Thanks it works great and gives me group numbers as integers and thus I can with
which group the elements as needed (which (groups== 2))
Question though is how to keep also the labels for each group. For example that
my first group is the [13,206)
RegardsAlex
On Wednesday, November 4, 2015 1:00 PM, Boris Steipe <boris.steipe at
utoronto.ca> wrote:
I would transform the original numbers into integers which you can use as group
labels. The row numbers of the group labels are the indexes of your values.
Example: assume your input vector is dBin
nGroups <- 5? # number of groups
groups <- (dBin - min(dBin)) / (max(dBin) - min(dBin)) # rescale to the range
[0,1]
groups <- floor(groups * nGroups) + 1? # discretize to nGroups integers
Now you can eg. get the indices for group 2
groups[groups == 2]
Depending on the nature of your input data, it may be better to keep these
groups in a column adjacent to your values, rather than in a separate vector, or
even better to just calculate the groups on the fly in your downstream analysis
with the approach given above in a function, rather than storing them at all.
These are simple operations that should not add perceptibly to execution time.
Cheers,
Boris
On Nov 4, 2015, at 6:40 AM, Alaios via R-help <r-help at r-project.org>
wrote:
> Thanks for the answer. Split does not give me the indexes though but only
in which group they fall in. I also need the index of the group. Is the first,
the second .. group?Alex
>
>
>
>? ? On Tuesday, November 3, 2015 5:05 PM, Ista Zahn <istazahn at
gmail.com> wrote:
>
>
> Probably
>
> split(binDistance, test).
>
> Best,
> Ista
>
> On Tue, Nov 3, 2015 at 10:47 AM, Alaios via R-help <r-help at
r-project.org> wrote:
>> Dear all,I am not exactly sure on what is the proper name of what I am
trying to do.
>> I have a vector that looks like
>>? binDistance
>>? ? ? ? ? ? [,1]
>>? [1,] 238.95162
>>? [2,] 143.08590
>>? [3,]? 88.50923
>>? [4,] 177.67884
>>? [5,] 277.54116
>>? [6,] 342.94689
>>? [7,] 241.60905
>>? [8,] 177.81969
>>? [9,] 211.25559
>> [10,] 279.72702
>> [11,] 381.95738
>> [12,] 483.76363
>> [13,] 480.98841
>> [14,] 369.75241
>> [15,] 267.73650
>> [16,] 138.55959
>> [17,] 137.93181
>> [18,] 184.75200
>> [19,] 254.64359
>> [20,] 328.87785
>> [21,] 273.15577
>> [22,] 252.52830
>> [23,] 252.52830
>> [24,] 252.52830
>> [25,] 262.20084
>> [26,] 314.93064
>> [27,] 366.02996
>> [28,] 442.77467
>> [29,] 521.20323
>> [30,] 465.33071
>> [31,] 366.60582
>> [32,]? 13.69540
>> so numbers that start from 13 and go up to maximum 522 (I have also
many other similar sets).I want to put these numbers into 5 categories and thus
I have tried cut
>>
>>
>> Browse[2]>
test<-cut(binDistance,seq(min(binDistance)-0.00001,max(binDistance),length.out=scaleLength+1))
>> Browse[2]> test
>>? [1] (217,318]? (115,217]? (13.7,115] (115,217]? (217,318]? (318,420]
>>? [7] (217,318]? (115,217]? (115,217]? (217,318]? (318,420]? (420,521]
>> [13] (420,521]? (318,420]? (217,318]? (115,217]? (115,217]? (115,217]
>> [19] (217,318]? (318,420]? (217,318]? (217,318]? (217,318]? (217,318]
>> [25] (217,318]? (217,318]? (318,420]? (420,521]? (420,521]? (420,521]
>> [31] (318,420]? (13.7,115]
>> Levels: (13.7,115] (115,217] (217,318] (318,420] (420,521]
>>
>>
>> I want then for the numbers of my initial vector that fall within the
same "category" lets say the (318,420] to be collected on a vector.I
rephrase it the indexes of my initial vector that have a value between 318 to
420 to be put in a same vector that I can process then as I want.
>> How I can do that effectively in R?
>> I would like to thank you for your replyRegardsAlex
>>
>>? ? ? ? [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> 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 at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> 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]]
I don't understand: - where does the "label" come from? (It's not an element of your data that I see.) - what do you want to do with this "label" i.e. how does it need to be associated with the data? B. On Nov 4, 2015, at 7:57 AM, Alaios <alaios at yahoo.com> wrote:> Thanks it works great and gives me group numbers as integers and thus I can with which group the elements as needed (which (groups== 2)) > > Question though is how to keep also the labels for each group. For example that my first group is the [13,206) > > Regards > Alex > > > > On Wednesday, November 4, 2015 1:00 PM, Boris Steipe <boris.steipe at utoronto.ca> wrote: > > > I would transform the original numbers into integers which you can use as group labels. The row numbers of the group labels are the indexes of your values. > > Example: assume your input vector is dBin > > nGroups <- 5 # number of groups > groups <- (dBin - min(dBin)) / (max(dBin) - min(dBin)) # rescale to the range [0,1] > groups <- floor(groups * nGroups) + 1 # discretize to nGroups integers > > Now you can eg. get the indices for group 2 > > groups[groups == 2] > > Depending on the nature of your input data, it may be better to keep these groups in a column adjacent to your values, rather than in a separate vector, or even better to just calculate the groups on the fly in your downstream analysis with the approach given above in a function, rather than storing them at all. These are simple operations that should not add perceptibly to execution time. > > Cheers, > Boris > > > > > > > On Nov 4, 2015, at 6:40 AM, Alaios via R-help <r-help at r-project.org> wrote: > > > Thanks for the answer. Split does not give me the indexes though but only in which group they fall in. I also need the index of the group. Is the first, the second .. group?Alex > > > > > > > > On Tuesday, November 3, 2015 5:05 PM, Ista Zahn <istazahn at gmail.com> wrote: > > > > > > Probably > > > > split(binDistance, test). > > > > Best, > > Ista > > > > On Tue, Nov 3, 2015 at 10:47 AM, Alaios via R-help <r-help at r-project.org> wrote: > >> Dear all,I am not exactly sure on what is the proper name of what I am trying to do. > >> I have a vector that looks like > >> binDistance > >> [,1] > >> [1,] 238.95162 > >> [2,] 143.08590 > >> [3,] 88.50923 > >> [4,] 177.67884 > >> [5,] 277.54116 > >> [6,] 342.94689 > >> [7,] 241.60905 > >> [8,] 177.81969 > >> [9,] 211.25559 > >> [10,] 279.72702 > >> [11,] 381.95738 > >> [12,] 483.76363 > >> [13,] 480.98841 > >> [14,] 369.75241 > >> [15,] 267.73650 > >> [16,] 138.55959 > >> [17,] 137.93181 > >> [18,] 184.75200 > >> [19,] 254.64359 > >> [20,] 328.87785 > >> [21,] 273.15577 > >> [22,] 252.52830 > >> [23,] 252.52830 > >> [24,] 252.52830 > >> [25,] 262.20084 > >> [26,] 314.93064 > >> [27,] 366.02996 > >> [28,] 442.77467 > >> [29,] 521.20323 > >> [30,] 465.33071 > >> [31,] 366.60582 > >> [32,] 13.69540 > >> so numbers that start from 13 and go up to maximum 522 (I have also many other similar sets).I want to put these numbers into 5 categories and thus I have tried cut > >> > >> > >> Browse[2]> test<-cut(binDistance,seq(min(binDistance)-0.00001,max(binDistance),length.out=scaleLength+1)) > >> Browse[2]> test > >> [1] (217,318] (115,217] (13.7,115] (115,217] (217,318] (318,420] > >> [7] (217,318] (115,217] (115,217] (217,318] (318,420] (420,521] > >> [13] (420,521] (318,420] (217,318] (115,217] (115,217] (115,217] > >> [19] (217,318] (318,420] (217,318] (217,318] (217,318] (217,318] > >> [25] (217,318] (217,318] (318,420] (420,521] (420,521] (420,521] > >> [31] (318,420] (13.7,115] > >> Levels: (13.7,115] (115,217] (217,318] (318,420] (420,521] > >> > >> > >> I want then for the numbers of my initial vector that fall within the same "category" lets say the (318,420] to be collected on a vector.I rephrase it the indexes of my initial vector that have a value between 318 to 420 to be put in a same vector that I can process then as I want. > >> How I can do that effectively in R? > >> I would like to thank you for your replyRegardsAlex > >> > >> [[alternative HTML version deleted]] > >> > >> ______________________________________________ > >> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > >> 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 at r-project.org mailing list -- To UNSUBSCRIBE and more, see > > 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. > >
you are right.by labels I mean the "categories", "breaks"
that my data fall in.To be part of group 2 for example you have to be in the
range of [110,223) I need to keep those for my plots.
Did I describe it more precisely now?Alex
On Wednesday, November 4, 2015 2:09 PM, Boris Steipe <boris.steipe at
utoronto.ca> wrote:
I don't understand:
- where does the "label" come from? (It's not an element of your
data that I see.)
- what do you want to do with this "label" i.e. how does it need to
be associated with the data?
B.
On Nov 4, 2015, at 7:57 AM, Alaios <alaios at yahoo.com> wrote:
> Thanks it works great and gives me group numbers as integers and thus I can
with which group the elements as needed (which (groups== 2))
>
> Question though is how to keep also the labels for each group. For example
that my first group is the [13,206)
>
> Regards
> Alex
>
>
>
> On Wednesday, November 4, 2015 1:00 PM, Boris Steipe <boris.steipe at
utoronto.ca> wrote:
>
>
> I would transform the original numbers into integers which you can use as
group labels. The row numbers of the group labels are the indexes of your
values.
>
> Example: assume your input vector is dBin
>
> nGroups <- 5? # number of groups
> groups <- (dBin - min(dBin)) / (max(dBin) - min(dBin)) # rescale to the
range [0,1]
> groups <- floor(groups * nGroups) + 1? # discretize to nGroups integers
>
> Now you can eg. get the indices for group 2
>
> groups[groups == 2]
>
> Depending on the nature of your input data, it may be better to keep these
groups in a column adjacent to your values, rather than in a separate vector, or
even better to just calculate the groups on the fly in your downstream analysis
with the approach given above in a function, rather than storing them at all.
These are simple operations that should not add perceptibly to execution time.
>
> Cheers,
> Boris
>
>
>
>
>
>
> On Nov 4, 2015, at 6:40 AM, Alaios via R-help <r-help at
r-project.org> wrote:
>
> > Thanks for the answer. Split does not give me the indexes though but
only in which group they fall in. I also need the index of the group. Is the
first, the second .. group?Alex
> >
> >
> >
> >? ? On Tuesday, November 3, 2015 5:05 PM, Ista Zahn <istazahn at
gmail.com> wrote:
> >
> >
> > Probably
> >
> > split(binDistance, test).
> >
> > Best,
> > Ista
> >
> > On Tue, Nov 3, 2015 at 10:47 AM, Alaios via R-help <r-help at
r-project.org> wrote:
> >> Dear all,I am not exactly sure on what is the proper name of what
I am trying to do.
> >> I have a vector that looks like
> >>? binDistance
> >>? ? ? ? ? ? [,1]
> >>? [1,] 238.95162
> >>? [2,] 143.08590
> >>? [3,]? 88.50923
> >>? [4,] 177.67884
> >>? [5,] 277.54116
> >>? [6,] 342.94689
> >>? [7,] 241.60905
> >>? [8,] 177.81969
> >>? [9,] 211.25559
> >> [10,] 279.72702
> >> [11,] 381.95738
> >> [12,] 483.76363
> >> [13,] 480.98841
> >> [14,] 369.75241
> >> [15,] 267.73650
> >> [16,] 138.55959
> >> [17,] 137.93181
> >> [18,] 184.75200
> >> [19,] 254.64359
> >> [20,] 328.87785
> >> [21,] 273.15577
> >> [22,] 252.52830
> >> [23,] 252.52830
> >> [24,] 252.52830
> >> [25,] 262.20084
> >> [26,] 314.93064
> >> [27,] 366.02996
> >> [28,] 442.77467
> >> [29,] 521.20323
> >> [30,] 465.33071
> >> [31,] 366.60582
> >> [32,]? 13.69540
> >> so numbers that start from 13 and go up to maximum 522 (I have
also many other similar sets).I want to put these numbers into 5 categories and
thus I have tried cut
> >>
> >>
> >> Browse[2]>
test<-cut(binDistance,seq(min(binDistance)-0.00001,max(binDistance),length.out=scaleLength+1))
> >> Browse[2]> test
> >>? [1] (217,318]? (115,217]? (13.7,115] (115,217]? (217,318]?
(318,420]
> >>? [7] (217,318]? (115,217]? (115,217]? (217,318]? (318,420]?
(420,521]
> >> [13] (420,521]? (318,420]? (217,318]? (115,217]? (115,217]?
(115,217]
> >> [19] (217,318]? (318,420]? (217,318]? (217,318]? (217,318]?
(217,318]
> >> [25] (217,318]? (217,318]? (318,420]? (420,521]? (420,521]?
(420,521]
> >> [31] (318,420]? (13.7,115]
> >> Levels: (13.7,115] (115,217] (217,318] (318,420] (420,521]
> >>
> >>
> >> I want then for the numbers of my initial vector that fall within
the same "category" lets say the (318,420] to be collected on a
vector.I rephrase it the indexes of my initial vector that have a value between
318 to 420 to be put in a same vector that I can process then as I want.
> >> How I can do that effectively in R?
> >> I would like to thank you for your replyRegardsAlex
> >>
> >>? ? ? ? [[alternative HTML version deleted]]
> >>
> >> ______________________________________________
> >> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more,
see
> >> 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 at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > 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]]