Thanks a lot Jim. I am struggling to solve the problem.I do appreciate for
your helps and advice.
Greg
On Tue, Jun 14, 2016 at 3:39 AM, Jim Lemon wrote:
> Hi Greg,
> This is obviously a problem with the data. The first error indicates
> that the sequence of integers regrange[1]:regrange[2] is t
Hi Greg,
This is obviously a problem with the data. The first error indicates
that the sequence of integers regrange[1]:regrange[2] is too long to
be allocated. Most likely this is because one or both of the endpoints
are infinite. Maybe if you can find where the NAs are you can fix it.
Jim
On Tu
Hi Jim;
I do apologize if bothering. I have run on the real data and here is the
error message I got:
Thanks,
Greg
start end
Error in regrange[1]:regrange[2] : result would be too long a vector
In addition: Warning messages:
1: In min(x) : no non-missing arguments to min; returning Inf
2: In m
Hi Greg,
Okay, I have a better idea now of what you want. The problem of
multiple matches is still there, but here is a start:
# this data frame actually contains all the values in ref in the "reg" field
map<-read.table(text="reg p rate
10276 0.700 3.867e-18
71608 0.830 4.542e-16
29220 0.430
Hi Jim;
Thanks so much for this info. I did not know this as I am very much new in
R, So do you think that, rather than using unique !duplicated would be
better to use?
Thanks in advance,
Greg
On Sun, Jun 12, 2016 at 7:06 PM, Jim Lemon wrote:
> Hi Greg,
> You've got a problem that you don't s
Hi Bert;
I do appreciate for this. I need check your codes on task2 tomorrow at my
office on the real data as I have difficulty (because a technical issue) to
remote connection. I am sure it will work well.
I am sorry that I was not able to explain my first question. Basically
Values in ref data
Hi Greg,
You've got a problem that you don't seem to have identified. Your
"reg" field in the "map" data frame can define at most 10 unique
values. This means that each value will be repeated about 270 times.
Unless there are constraints you haven't mentioned, we would expect
that in 135 cases
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 end
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
9 matches
Mail list logo
