similar to: find overlap between intervals

Dear all, Sorry for the previous email. I had a wrong example output: Input: Start End 440 443 380 443 290 468 CORRECTED Desired output: Start End 290 380 380 440 443 468 Best regards, João Fadista [[alternative HTML version deleted]]

Dear all, I would like to know how can I retrieve a data.frame without the columns that have a partial match name. Let´s say that I have a data.frame with 200 columns and 100 of them have the name "StartX", with X being the unique part for each column name. I want to delete all columns that have the name starting with "Start". I´ve tried to do this but it doesn´t work: >

Dear all, I would like to take out the values from one vector that are equal to the values in another vector. Example: a <- c(1,2,3,4,5,6,7,8,9) b <- c(3,10,20,5,6) b_noRepeats = c(10,20) So I would like to have the vector b without the same values as vector a. Kind regards, João Fadista [[alternative HTML version deleted]]

Dear all, I would like to know how can I create a binned column in a data.frame. The output that I would like is something like this: Start Binned_Start 1 0-5 2 0-5 6 5-10 8 5-10 13 10-15 ... Best regards João Fadista Ph.d. student UNIVERSITY OF AARHUS Faculty of Agricultural Sciences Dept. of Genetics and Biotechnology Blichers

Dear all, Can I do a permutation test if the number of individuals in one group is much bigger than in the other group? I searched the literature but I didin´t find any assumption that refers to this subject for permutation tests. Best regards João Fadista Ph.d. student UNIVERSITY OF AARHUS Faculty of Agricultural Sciences Dept. of Genetics and Biotechnology Blichers Allé 20, P.O.

Dear all, I would like to know how can I concatenate 2 data.frames into a single one. Both data frames have the same number of columns and the same class type in each correspondent column. So what I want is to have a new data.frame where I have first the values from one data.frame and then the values from a second data.frame would came after in this new data.frame. Thanks in advance. Med

Dear all, I would like to know how can I compute the length of a string in a dataframe. Example: SEQUENCE ID TGCTCCCATCTCCACGG HR04FS000000645 ACTGAACTCCCATCTCCAAT HR00000595847847 I would like to know how to compute the length of each SEQUENCE. Best regards, João Fadista [[alternative HTML version deleted]]

Dear all, I would like to know how can I order a data.frame with increasing the dat$Interval (dat$Interval is a factor). There is an example below. Original data.frame: > dat Interval Number_reads 0-100 685 200-300 744 100-200 1082

Dear all, I would like to be able to subset a data.frame in a special way. I will put here an example: Score Name 88 000019_0070 88 000019_0070 87 000019_0070 79 002127_0658 79 002127_0658 77 002127_0658 So, for the above example I would like to have a new data.frame that has only the best "Score" for each

Dear all, I would like to know how can I read a text file and create a data frame of only certain parts of the file. For instance, from this text file: =================================================== Matches For Query 0 (108 bases): 000019_0070 =================================================== Score Q_Name S_Name Q_Start Q_End S_Start S_End Direction Bases identity 89 000019_0070

Dear all, I would like to know if I can compare by a significance test 2 models with different kind of parameters. Perhaps I am wrong but I think that we can only compare 2 models if one is a sub model of the other. Med venlig hilsen / Regards João Fadista Ph.d. studerende / Ph.d. student AARHUS UNIVERSITET / UNIVERSITY OF AARHUS Det Jordbrugsvidenskabelige Fakultet / Faculty of

Dear all, I would like to generate 25 numbers from 1 to 100 but I would like to have some numbers that could be more probable to come out. I was thinking of the function runif: runif(25, 1, 100) , but I don?t know how to give more weight to some numbers. Example: each number from 2 to 10 has the probability of 40% to come out but the probability of each number from 11 to 100 to come out is

Dear all, I would like to know if there is any R package that uses a sliding window approach to assess statistical significance out of my data. My data is composed of DNA sequences (of variable length) that are mapped to a genome with a determined score of alignment. So, I want to see if I can find more tags in a given region of the genome as opposed to finding them by chance. In this sliding

Dear all, I have the positions of N points spread through some sequence of length L (L>N), and I would like to know how can do the following: 1- Permute the positions of the N points along the whole sequence. Assuming a uniform distribution I did: position1 <- runif(N, 1, L) 2- Apply a kernel convolution method to the resulting permuted points profile. For this I applied the

Dear all, I would like to know how can I test which are the intervals of my data that have significant less or more counts than the other intervals. Example: Interval [1:200] [200:400] [400:600] [600:800] ... more 900 hundred columns Count 12 28 7 5 Thanks in advance, Best regards João Fadista Ph.d.

Dear all, I am using the R package SNPRelate but I found an error when I run the following command. Do you know what might be the problem? Thanks in advance. > vcf.fn <- system.file("extdata", "sequence.vcf", package="SNPRelate") > snpgdsVCF2GDS(vcf.fn, "test.gds") Start snpgdsVCF2GDS ... Open

Dear all, When we perform a Wilcoxon rank sum test (on two samples with different sizes) we get a test statistic. My question is, as the value of test statistic increases the difference between the distributions of the two samples also increase, right? Thanks in advance, João Fadista [[alternative HTML version deleted]]

Hi, I would like to know how can I keep adding data to a file while doing a loop and without deleting the data of the previous iteration. Thanks.

Hi, Try this: #mat1 is the data res<-do.call(cbind,lapply(seq_len(nrow(mat1)),function(i) {new1<-do.call(rbind,lapply(seq_len(nrow(mat1[-i,])),function(j) {x1<-rbind(mat1[i,],mat1[j,]); x2<-(abs(x1[1,1]-x1[2,1])*abs(x1[1,5]-x1[2,5]))+(abs(x1[1,2]-x1[2,2])*abs(x1[1,6]-x1[2,6]))+(abs(x1[1,3]-x1[2,3])*abs(x1[1,7]-x1[2,7]))+(abs(x1[1,4]-x1[2,4])*abs(x1[1,8]-x1[2,8]))}));new1}))

Dear All, ? I have found differences between glmnet versions 1.7 and 1.7.1 which, in my opinion, are not cosmetic and do not appear in the ChangeLog. If I am not mistaken, glmnet appears to return different number of selected input variables, i.e. nonzeroCoef(fit$beta[[1]]) differes between versions. The code below is the same for 1.7.1 and 1.7, but you can see that outputs differ. I would