similar to: aggregate function

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

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

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 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) -- -------------

> > 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 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"

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 =

I am planning to download a large number of files from some website. I am using the following script. files2down = c('aaa', 'bbb', ................) for (i in 1: len) { print(paste('downloading file', i, ' of total ', len)); url = paste(urlPrefix, files2down[i], sep='') destfile = paste (dest, 'inDir', files2down[i], sep='/' )

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

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]

Hi I am plotting line chart using ggplot and want to use geom_line and geom_point simultaneously. I get the plot but now I have two legends. None of the legend is representing the true values. I need the legend with shape and color both. Thanks > con = textConnection("inputs var1 var2 var3+ 100 10 5 2+ 1000 20 10 4+ 5000 30 15 8+ 10000 40 20 16+ 30000 50 25 32")> data =

Hao Yu Commercial Scale Out IBM T.J. Watson Research Center 1101 Kitchawan Rd/Route 134, Rm 36-019 Yorktown Heights, NY 10598-0218 914-945-1854, Email: yuh@us.ibm.com ----- Forwarded by Hao Yu/Watson/IBM on 10/31/2006 09:52 AM ----- Jimi

Hao Yu Commercial Scale Out IBM T.J. Watson Research Center 1101 Kitchawan Rd/Route 134, Rm 36-019 Yorktown Heights, NY 10598-0218 914-945-1854, Email: yuh@us.ibm.com ----- Forwarded by Hao Yu/Watson/IBM on 10/31/2006 09:52 AM ----- Jimi

Dear R people, I have to deal with the output of a function which comes as a matrix of vectors. You can reproduce the structure as given below: x <- list(c(1,2,4),c(1,3,5),c(0,1,0), c(1,3,6,5),c(3,4,4,4),c(0,1,0,1), c(3,7),c(1,2),c(0,1)) data <- matrix(x,byrow=TRUE,nrow=3) colnames(data) <- c("First", "Length", "Value") rownames(data)

Dear R users: I just got confused some R code used in linear mixed model~ example,two factors,A, B,C,A is fixed ,B,C are random,and B is nested in C,if I wannt to use linear mixed model,are the following code correct for each case? case1:want to know random effect of B, case1<-lme(y~A*B*C,random=~B|C) where "B|C" stand for what?,mean B is nested in C? case2: how to wirte

Hi, R function aggregate can only take summary stats functions, can I aggregate text columns? For example, for the dataframe below, > a <- rbind(data.frame(id=1, name='Tom', hobby='fishing'),data.frame(id=1, name='Tom', hobby='reading'),data.frame(id=2, name='Mary', hobby='reading'),data.frame(id=3, name='John',