two difficult loop
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
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