similar to: Operating on each row of data frame

Hi All I have a vector of about 15 million numbers which I would like to plot. The goal is the see the distribution. I tired the usual steps. 1. Histogram : never gets complete my window freezes w/out log base 10 2. Density : I first calculated the kernel density and then plotted it which worked. It would be nice to superimpose histogram with density but as of now I am not able to get this

Hey Guys I want to divide(numerically) all the columns of a data frame by different numbers. Here is what I am doing but getting a weird error. The values in each column are not getting divided by the corresponding value in the denominator vector instead by the alternative values. I am sure I am messing up something. Appreciate your help -Abhi head(counts) WT_CON WT_RB MU_CON

Hi Guys I am want to join to strings in R. I am using paste but not getting desirable result. For the sake of clarity, a quick example: > a="Bio" > b="iology" > paste(a,b) [1] "Bio iology" *There is a SPACE in the word biology which is what I dont want * Thanks, -Abhi [[alternative HTML version deleted]]

Hi Guys I am trying to read a bunch of files in the loop but pipe function which I use to cut few columns is somehow unable to interpolate the file variable. eg: > file="check.txt" > data <- read.table(pipe("cut -f 2,3 file"), sep="\t", col.names=c('pos','cov') ) cut: file: No such file or directory how can I pass variable file to pipe

Hi Guys I am Abhishek, primarily a bioinformatician. I have recently started using a lot of R thanks to some excellent packages available. Lately I have felt the need to batch process few of the R scripts I have been working with and strangely enough I am not able to find a good resource on how to best do this. I did find few old threads on the archives but none convinced me much. So here I am

Hi Guys I have two data frames which I would like to merge on two conditions. I am doing the following (abstract form) new.data.frame <- merge(df1,df2, by=c("Col1","Col2")) It is giving me a null result. Basically I need to apply two conditions. I also tried sqldf but it is running forever. Will indexing help ? temp <- sqldf("select

Hi Guys I am back with another thing that's puzzling me. I am creating contingency tables but then I want to filter out certain columns and also find if any entry in the table is 0. Example: gts labels A1 B2 G3 1 21 127 120 2 23 112 0 Here I want to remove B2 column from this table and also if any entry is 0 in this case G3 second row. Missing out on how to do

Hi All I am looking for a way to prefix a constant value to all the rows in column in a data frame. Eg. V1 2 3 4 5 I want to make it like this V1 number2 number3 number4 number5 Thanks! -Abhi [[alternative HTML version deleted]]

Hi All I have a data frame in which on the columns is a factor with following levels Levels: M006 M0114 M0379 M0432 M0823 M1012 M1096 M1107 SW393 SW708 I want to change all the M006 to "1", M0114 to "2" and so on. What I am trying is not working. data1$sample[data1$sample =='M006'] <- "1" Warning message: In `[<-.factor`(`*tmp*`, data1$sample ==

Hi All I am wondering if people based on their experience could share what methods one could use to compare two gff/gtf files. The reason why I want to do so is that we have constructed a RNA-Seq based transcriptome and would like to compare it with reference transcriptome we had from in-silico approaches. Ideally we are looking to find out 1. new genes we see 2. transcripts where the

Hi All I am looking for some resource to learn data normalization. I understand I am talking very broad here, I need something like a primer to give me a jump start. If you happen to know any good resource please do let me know. Cheers, -Abhi [[alternative HTML version deleted]]

Hi Gert, Thanks for your reply. But we can't upgrade to 7.2 version also we don't have plan to upgrade in near future. Can I fix these vulnerabilities in the current version? Regards Abhishek On Tue, Mar 8, 2016 at 6:42 PM, Gert Doering <gert at greenie.muc.de> wrote: > Hi, > > On Tue, Mar 08, 2016 at 06:14:01PM +0530, abhi dhiman wrote: > > Actually I am working

Hi, I am trying to generate the DFG of machine functions. Initially, I added a pass to generate the DFG of LLVM IR functions. This was based on the mail thread - http://lists.cs.uiuc.edu/pipermail/llvmdev/2009-September/025582.html. This pass worked fine and I was able to generate DFG of LLVM IR functions. Later, I ported the DFG pass code for machine functions. I ported the InstIterator.h

Hi All, Actually I am working with the OpenSSH version 6.2p which is vulnerable to above mentioned vulnerabilities. So am looking for some help how I can fix these vulnerabilities in my version. I need to fix it in the OpenSSH code. Regards Abhishek

Hello friends, I have configured attachment_f. It''s working fine on Local(development) system but giving problem on production. Basically on production the attachment_fu is not able to generate thumbnail image it saving the original size image. Below is the configuration. has_attachment :content_type => :image, :storage => :file_system, :max_size

I'm pretty new to R and would appreciate some help interpreting the output of a function that was recommended to me. I've used the *envfit *function in the vegan package to plot vectors of four climate variables onto a species matrix ordination. The output indicates that only a single variable (mean_temp) is significant: ***VECTORS NMDS1 NMDS2 r2

Dear List, Some independent variable were missing in calculation using lm and glm (gaussian). (X= Y1+Y2+…..+Y16, Independent number: 16 variable) However, those variables did work well in cor(X, Y) respectively. str(dataframe) was also run to ensure that the variables were all numbers. Moreover, the missing variables were different in lm and glm. In lm, 3 factors were not taken into

I tried debugging it and the issue seems to be in the implementation of MachineInstrIterator.h and the way it interacts with GraphWriter.h functions. I found this by replacing the ( template <> struct GraphTraits<MCDFGraph<MachineFunction*> >) with a similar MCDFGraph based template of CFG similar to the one in MachineFunction.h (similarly replacing the DOTGraphTraits with the

Hi All Slightly lost on how should I pass values to a function I am calling using apply. apply( veh_drg_animal1[ , c("readCount","gene_length")] ,1, stats() ) here stats is a custom function where I want to pass two parameters from data frame as shown and a third argument which is constant per instance of apply. stats <- function ( arg1,agr2,agr3) { ## computation

Hi All, Actually I am working with the OpenSSH version 6.2p which is vulnerable to above mentioned vulnerabilities (CVE-2016-6210). So am looking for some help how I can fix these vulnerabilities in my version. I need to fix it in the OpenSSH code. Regards Abhishek