[R] two difficult loop

[Bert Gunter]

Greg:

I was not able to understand your task 1. Perhaps others can.

My understanding of your task 2 is that for each row of ref, you wish
to find all rows,of map such that the reg values in those rows fall
between the reg1 and reg2 values in ref (inclusive change <= to < if
you don't want the endpoints), and then you want the minimum map$p
values of all those rows. If that is correct, I believe this will do
it (but caution, untested, as you failed to provide data in a
convenient form, e.g. using dput() )

task2 <- with(map,vapply(seq_len(nrow(ref)),function(i)
min(p[ref[i,1]<=reg & reg <= ref[i,2] ]),0))


If my understanding is incorrect, please ignore both the above and the
following:


The "solution" I have given above seems inefficient, so others may be
able to significantly improve it if you find that it takes too long.
OTOH, my understanding of your specification is that you need to
search for all rows in map data frame that meet the criterion for each
row of ref, and without further information, I don't know how to do
this without just repeating the search 560 times.


Cheers,
Bert


Bert Gunter

"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Sun, Jun 12, 2016 at 1:14 PM, greg holly <mak.hholly at gmail.com> wrote:
> Dear all;
>
>
>
> I have two data sets, data=map and data=ref). A small part of each data set
> are given below. Data map has more than 27 million and data ref has about
> 560 rows. Basically I need run two different task. My R codes for these
> task are given below but they do not work properly.
>
> I sincerely do appreciate your helps.
>
>
> Regards,
>
> Greg
>
>
>
> Task 1)
>
> For example, the first and second columns for row 1 in data ref are 29220
> 63933. So I need write an R code normally first look the first row in ref
> (which they are 29220 and 63933) than summing the column of "map$rate" and
> give the number of rows that >0.85. Then do the same for the second,
> third....in ref. At the end I would like a table gave below (the results I
> need). Please notice the all value specified in ref data file are exist in
> map$reg column.
>
>
>
> Task2)
>
> Again example, the first and second columns for row 1 in data ref are 29220
> 63933. So I need write an R code give the minimum map$p for the 29220
> -63933 intervals in map file. Than
>
> do the same for the second, third....in ref.
>
>
>
>
> #my attempt for the first question
>
> temp<-map[order(map$reg, map$p),]
>
> count<-1
>
> temp<-unique(temp$reg
>
> for(i in 1:length(ref) {
>
>   for(j in 1:length(ref)
>
>   {
>
> temp1<-if (temp[pos[i]==ref[ref$reg1,] & (temp[pos[j]==ref[ref$reg2,]
> & temp[cumsum(temp$rate)
>>0.70,])
>
> count=count+1
>
>     }
>
> }
>
> #my attempt for the second question
>
>
>
> temp<-map[order(map$reg, map$p),]
>
> count<-1
>
> temp<-unique(temp$reg
>
> for(i in 1:length(ref) {
>
>   for(j in 1:length(ref)
>
>   {
>
> temp2<-if (temp[pos[i]==ref[ref$reg1,] & (temp[pos[j]==ref[ref$reg2,])
>
> output<-temp2[temp2$p==min(temp2$p),]
>
>     }
>
> }
>
>
>
> Data sets
>
>
>   Data= map
>
>   reg   p      rate
>
>  10276 0.700  3.867e-18
>
>  71608 0.830  4.542e-16
>
>  29220 0.430  1.948e-15
>
>  99542 0.220  1.084e-15
>
>  26441 0.880  9.675e-14
>
>  95082 0.090  7.349e-13
>
>  36169 0.480  9.715e-13
>
>  55572 0.500  9.071e-12
>
>  65255 0.300  1.688e-11
>
>  51960 0.970  1.163e-10
>
>  55652 0.388  3.750e-10
>
>  63933 0.250  9.128e-10
>
>  35170 0.720  7.355e-09
>
>  06491 0.370  1.634e-08
>
>  85508 0.470  1.057e-07
>
>  86666 0.580  7.862e-07
>
>  04758 0.810  9.501e-07
>
>  06169 0.440  1.104e-06
>
>  63933 0.750  2.624e-06
>
>  41838 0.960  8.119e-06
>
>
>  data=ref
>
>   reg1         reg2
>
>   29220     63933
>
>   26441     41838
>
>   06169     10276
>
>   74806     92643
>
>   73732     82451
>
>   86042     93502
>
>   85508     95082
>
>
>
>        the results I need
>
>      reg1      reg2 n
>
>    29220   63933  12
>
>    26441   41838   78
>
>    06169 10276  125
>
>    74806 92643   11
>
>    73732 82451   47
>
>    86042 93502   98
>
>    85508 95082  219
>
>         [[alternative HTML version deleted]]
>
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