similar to: download files using ftp: avoid error

I am downloading say 100 files from ucsc website and storing it into dest folder. download.file function create a file in destination folder even if the file is not present which is something I dont want. So I wrote if condition to remove the file if the download function has non zero value. Now it exits when there is an error or file not present. How can I use "try" and "if"

I have a value a=300 observation (x) = sample(1:50) How to find a p-value from this. I need to show that "a" is different fom mean(x). Thanks -- ------------- Mary Kindall Yorktown Heights, NY USA [[alternative HTML version deleted]]

Hi Thanks Gabor for your suggestion. I am posting the code that worked for me. dataframe1 = data.frame(cbind(Src = c(1,1,1,2,3), Target1 = c('aaa','bbb','ccc','aaa','ddd'))); #must be data frame dataframe2 = data.frame(cbind(Src = c(2,3,4,4,4), Target2 = c('aaaa','dddd','bbbb','eeee','ffff'))); dataframe3 =

Hi R users, I am new to R and am trying to merge data frames in the following way. Suppose I have n data frames each with two fields. Field 1 is common among data frames but may have different entries. Field 2 is different. Data frame 1: Src Target1 1 aaa 1 bbb 1 ccc 2 aaa 3 ddd Data frame 2: Src Target2 2 aaaa 3 dddd 4 bbbb 4

Hi I have a data frame with values in following format. param case1 1 a 2 b 2 c 2 d 3 e 4 f how to use aggregate so that it I only one row for each 'param' value. the output for the above input should be param case1 1 a 2 b,c,d 3 e 4 f Thanks M -- ------------- Mary

> > I have two dataframes and want to perform cbind and then write into a > file. The number of entries are more than a million in both frames. R is > taking a lot of time performing this operation. > > Is there any alternate way to perform cbind? > > x = table1[1:1000000,1:4] > y = table2[1:1000000,3:6] > > z = cbind(x,y) //hanging the machine > >

In a frequency distribution table (bell shaped), how can we find the most frequent range? for example: x = c(1,2, 4,4,4,4, 5,5,5,6,6,5,5,5,5,5,6,6,6,13, 17,17,30,100,300) barplot(table(x)) In the code above, which function do we use to find that the most frequent value range from 4 to 6. Thanks. -- ------------- Mary Kindall Yorktown Heights, NY USA [[alternative HTML version deleted]]

I installed some downloaded packages in R. I always do $sudo R CMD INSTALL <anRpackage.tar.gz> By default it is storing these packages into my directory /home/mary/R/x86_64-pc-linux-gnu-library/2.13/. However I want them to be systemwide into /usr/local/lib/R/site-library/ folder. I tried $sudo R R> install.packages("anRpackage", dep=TRUE) I did not succeed into getting

I installed some downloaded packages in R. I always do $sudo R CMD INSTALL <anRpackage.tar.gz> By default it is storing these packages into my directory /home/mary/R/x86_64-pc-linux-gnu-library/2.13/. However I want them to be systemwide into /usr/local/lib/R/site-library/ folder. I tried $sudo R R> install.packages("anRpackage", dep=TRUE) I did not succeed into getting

Hi R users, I try to read a data file (tab delimited format) in which some of the entries in a particular field are missing. Is it possible to fill the unavailable data with 'UnAvailable' string while performing read.table() Something like df = read.table(DataFile, header=FALSE, fill_missing_entry = 'unAvailable') 1 thanks -- ------------- Mary Kindall Yorktown Heights,

I have two one dimensional list of elements and want to perform cbind and then write into a file. The number of entries are more than a million in both lists. R is taking a lot of time performing this operation. Is there any alternate way to perform cbind? x = table1[1:1000000,1] y = table2[1:1000000,5] z = cbind(x,y) //hanging the machine write.table(z,'out.txt) -- -------------

> On Sep 21, 2016, at 9:36 AM, Kostya Serebryany via llvm-dev <llvm-dev at lists.llvm.org> wrote: > > Exciting! > > (btw, I'd prefer libfuzzer at googlegroups.com <mailto:libfuzzer at googlegroups.com> for such discussions, please start new topics there) You mean a LLVM library has a separate mailing-list? Why? — Mehdi > > I can reproduce this too, but

Hi I have a data frame in the following form. There are two groups and for each 'width' relative frequency for group1 and group2 is given. How to plot this in R using ggplot or other package. Width relativeFrequency1 relativeFrequency2 1 100 0.0006388783 0.02265428 2 200 0.0022677303 0.02948625 3 300 0.0061182673 0.01739936 4 400 0.0152237225 0.02569902 5 500

I have a list of txt files that I want to convert into .rdata R data object. filenames 1. "./file1.txt" 2. "./file2.txt" 3. "./file3.txt" 4. "./file4.txt" 5. "./file5.txt" 6. "./file6.txt" 7. "./file7.txt" 8. "./file8.txt" 9. "./file9.txt" 10. "./file10.txt" I saved these files as for ( i in

> On Sep 21, 2016, at 12:56 PM, Kostya Serebryany <kcc at google.com> wrote: > > > > On Wed, Sep 21, 2016 at 12:32 PM, Mehdi Amini <mehdi.amini at apple.com <mailto:mehdi.amini at apple.com>> wrote: > >> On Sep 21, 2016, at 9:36 AM, Kostya Serebryany via llvm-dev <llvm-dev at lists.llvm.org <mailto:llvm-dev at lists.llvm.org>> wrote:

Hello, Any advice or pointers for implementing Sobel's test for mediation in 2-level model setting? For fitting the hierarchical models, I am using "lme4" but could also revert to "nlme" since it is a relatively simple varying intercept model and they yield identical estimates. I apologize for this is an R question with an embedded statistical question. I noticed that a

Dear all, When running function 'testQAReport()', which uses function 'buildVignettes()' to create a pdf-file I get the following error: > source("testQAReport.R") > testQAReport() Error in .get_package_metadata(pkgdir) : Files 'DESCRIPTION' and 'DESCRIPTION.in' are missing. Since I did not get this error in earlier versions of R, could you

I tried to use R version of package I noticed the original MatLab Pckage is much better documented. I had a look at the R demo code "gtm_demo" and found that variable Y is used in advanced of being created: I wrote my own few lines as follows: inDir <- "C:/Documents and Settings/Monville/Alanine Dipeptide/DBP1/DHA" setwd(inDir) T <-

Hi I have an organism directory that contains two folders galGal3 and hg19 and many other files. orgDir = '/home/mary/org' When I try to use list.dir() function, it gives me the same answer, no matter what is the value of full.names argument. > list.dirs(path = indexDir, full.names = FALSE)[1] "/home/mary/org" [2] "/home/mary/org/galGal3" [3]

Hello, Is this reproducible? > Fuzzing is a probabilistic business and one or even two runs don't prove > much. > I've reproduced the behavior on two different machines. Attached is a script to do so. To use the script, - create an empty folder and copy both prune-blocks.sh and ff-http-parser.sh in there - ensure clang and clang++ are in your $PATH - cd /path/to/prune-blocks.sh