similar to: Sum objects in a column between an interval defined by conditions on another column

Hi everyone, I am trying to find a way to filter a table; If I am given for example the following table: > head(intra) chr miRNA start end strand ACC hsa_ID region region_start region_end gene_id transcrip_id 1 chr1 miRNA 1102484 1102578 + ACC="MI0000342"; ID="hsa-mir-200b"; exon 1102484 1102578 NR_029639 NR_029639 2 chr1

Hi all, I am given the a data frame in which one of the columns has more information together- see column 4, peak_loc: chr start end peak_loc cluster_TC strand peak_TC 1 chr1 564620 564649 chr1:564644..564645,+ 94 + 10 2 chr1 565369 565404 chr1:565371..565372,+ 217 + 8 3 chr1 565463 565541 chr1:565480..565481,+ 1214 + 15 4 chr1

Hi, I am given the following table: > head(hsa_refseq) chr genome region start stop nu strand nu.1 nu.2 gene_id 1 chr1 hg19_refGene CDS 67000042 67000051 0 + 0 gene_id NM_032291 2 chr1 hg19_refGene exon 66999825 67000051 0 + . gene_id NM_032291 3 chr1 hg19_refGene CDS 67091530 67091593 0 + 2 gene_id NM_032291 4 chr1 hg19_refGene exon

Hi all, I have a column that has the following format: chr1:564588..564589,+ and I want to extract only the coordinates; I have tried writing a regular expression but I couldn't figure out how I should write it. Does anyone know? Thank you, Best, Nanami [[alternative HTML version deleted]]

HI, Try this: dat1<- read.table(text=" ?V1,V2,V3,V4,V5,V6,V7 ?chr1,564563,564598,564588 564589,1336,+,134 ?chr1,564620,564649,564644 564645,94,+,10 ?chr1,565369,565404,565371 565372,217,+,8 ?chr1,565463,565541,565480 565481,1214,+,15 ?chr1,565653,565697,565662 565663,1031,+,28 ?chr1,565861,565922,565883 565884,316,+,12 ",sep=",",header=TRUE,stringsAsFactors=FALSE)

Dear R gurus, I have the following code, but I still not know how to estimate and extract confidence intervals (95%CI) from resampling. Thanks! ~Adriana #data penta<-c(770,729,640,486,450,410,400,340,306,283,278,260,253,242,240,229,201,198,190,186,180,170,168,151,150,148,147,125,117,110,107,104,85,83,80,74,70,66,54,46,45,43,40,38,10) x<-log(penta+1) plot(ecdf(x),

Hi R-users, Could anybody show me how to write a code to evaluate sum(z[i] + sum(k[j]*(z[i])^(k[j])), i=1 to 4, j=0 to infinity) ? Thank you so much for any help given. [[alternative HTML version deleted]]

Install the gmp package, run your code, and then try this: bu <- gmp::as.bigq(u) bs4 <- bu[1] + bu[2] + bu[3] + bu[4] + bu[5] s4 <- as.double(bs4) s1 - s4 ## [1] 0 s2[[2]] - s4 ## [1] 7.105427e-15 s3 - s4 ## [1] 7.105427e-15 identical(s1, s4) ## [1] TRUE `bs4` is the exact sum of the binary rationals in your `u` vector; `s4` is the closest double precision to this exact sum.

My simple functions were to compare the result with the gfortran compiler sum() function. I thought that the Fortran sum could not be less precise than R. I was wrong. I am impressed. The R sum does in fact match the result if we use the Kahan algorithm. P. I am glad to see that R sum() is more accurate than the gfortran compiler sum. On 16/03/18 11:37 AM, luke-tierney at uiowa.edu wrote:

Hi, Database model of my web app is as follows, users(id,name) Taskcategories(id,user_id,name) Tasks(id,taskcategory_id,name) TasksData(id,tasks_id,durationInHrs,date) I want to collect and show following data from the above tables, in the view, 1. Category wise duration total for a user for a week. 2. Category wise duration total for a user for each of the 7 days of the week. 3. Total

# Get a list of product ids from a form, then # sum the total price product_list = params[:product_ids] total = Product.find(product_list).sum(&:price) I understand the first list line and part of the second line, but what does the & symbol mean? TIA.

Hi all, I was wondering how one does multiple sum/average/max/min in a single query using AR. It would be cool to be able to do: totals = Call.sum([:price,:duration], { :conditions => "destination = ''UK''", :group => "location" }) and end up with a hash with totals[:location][:colname] e.g.:

Hello, does anyone have a working solution for the shaping both incoming and outgoing traffic in such way, that for a given class the sum of incoming and outgoing traffic is specified? My ISP does the same thing, it gives me just a line of a defined rate, no matter the traffic direction (i.e. here is the line, the clock speed is 1024kbps, do what you want). I''m a litte bit familiar

When using PHP, I was able to enter a query against my list of invoices such as : Select SUM(amount) from invoices where project="123" This would give me the total amount of all invoices for project 123. In rails, how would I do this? I tried using "find_by_sql," but couldn''t figure out how to extract the results out of this. Thanks!

Is it possible to retrieve sums of squared loadings after applying varimax rotation? Here's the setup to my problem: I ran PCA using prcomp(). I then applied the Kaiser criterion to retain only the components having eigenvalues >= 1. (I know there's debate about the wisdom of that criterion, but I don't want to get sucked into that.) I then fed the reduced set of components to

Hi, I have 6 career types, represented as a factor in R, coded from 1 to 6. I need to use the effect coding (also known as deviation coding) which is normally done by contr.sum, e.g. contrasts(career) <- contr.sum(6) However, this results in the 6th category being the reference, that is being coded as -1: $contrasts [,1] [,2] [,3] [,4] [,5] 1 1 0 0 0 0 2 0 1 0

Dear R-help, In nlme package, anova () can be used to test the difference between two coefficients as shown on page 225 of "Mixed Effects Models in S and S-Plus": anova(fm2BW.lme, L = c("Time:Diet2" = 1, "Time:Diet3" = -1)) Now my question is instead of test the difference between two coefficients, can I use anova to test the significance of the sum of two

Hi, Maybe I have not been looking in the right spot, but, I have not been able to fine a command to automatically calculate the running cumulative sum of a vector. Is there such a command? Example of current code: > eig$values [1] 678.365651 6.769697 2.853783 > prop<-eig$values/sum(eig$values) > prop [1] 0.986012163 0.009839832 0.004148005 >

Hello, sum(data.frame(),na.rm=TRUE) still throws an Error, is this really the intended behavior? > sum(data.frame()) Error in FUN(X[[1L]], ...) : only defined on a data frame with all numeric or complex variables > sum(data.frame(),na.rm=TRUE) Error in FUN(X[[1L]], ...) : only defined on a data frame with all numeric or complex variables The context is # x is a data frame generated from

It turns out that the Long Island Chinese Restaurant has (a) moved and (b) changed its name (to "Wild Pepper"). So, please visit the SIG''s page (http://cfcl/rdm/beer_and_pizza) for new directions! -r -- email: rdm-go8te9J4rpw@public.gmane.org; phone: +1 650-873-7841 http://www.cfcl.com - Canta Forda Computer Laboratory http://www.cfcl.com/Meta - The FreeBSD Browser,