similar to: Scan and Lists

I am trying to get started with R, but before I do, I need to find a way to import my existing datasets, which are currently stored as arrays of IDL structures (RSI's IDL, not the other one). The problem I has is this: the IDL structures contain scalar items, as well as n-dimensional arrays. I can export the data in a number of ways, including as separate files for scalars and for each of the

Greetings guRus -- I have successfully queried a large (24,445 rows by 281 cols.) in-house database using the following RODBC query (without the line breaks) testout <- sqlQuery(channel, "select idSchedule,EXCL_Total from dbo.vwC1198_2006_RawData_With_CMPL_EXCL") This returns a dataframe of 24445 rows and two columns (as intended), but the following command testout

Dear -r-helpers, I'm trying to get my students to use odfWeave. Windows users are having trouble. I would appreciate advice. Comment 1: Hello I have spent a while today trying to get odfWeave to be successful I installed the unzip and zip program but it has not changed the error message.I have copied the error message below but I am sure it is the one others have experienced. >

Let's try a simple example. > # Create a script file of commands > # Note we must print the results of quantile explicitly > cat("x <- rnorm(50)\nprint(quantile(x))\nstem(x)\n", file="Test.R") > > # Test it by running it to the console > source("Test.R") 0% 25% 50% 75% 100% -2.4736219 -0.7915433

Hello, I have an input file: http://r.789695.n4.nabble.com/file/n3700031/testOut.txt testOut.txt where col 1 is chromosome, column2 is start of region, column 3 is end of region, column 4 and 5 is base position, column 6 is total reads, column 7 is methylation data, and column 8 is the strand. I would like a summary output file such as:

Hi David,Thank you for the example.When I try to use the cat function, I get an error cat(attr<-getAttractors(net, type="asynchronous"))Error in cat(attr <- getAttractors(net, type = "asynchronous")) : argument 1 (type 'pairlist') cannot be handled by 'cat' Please let me know, if I have used the function in right way?. Thank you Priya ?

Dear UseRs, I have a data frame that looks like this: head(test2) attributes start end StemExplant Callus RegenPlant 1 LTR_Unknown 120 535 3.198 1.931 1.927 3 LTR_Unknown 2955 3218 0.541 0.103 0.613 6 LTR_Unknown 6210 6423 6.080 4.650 9.081 9 LTR_Unknown 9658 10124 0.238 0.117 0.347 14 LTR_Unknown 14699 14894 3.545 3.625

hi, I'm new to llvm and trying to convert some c files to bitcode and convert them back to c code. my command line is pretty simple and verymuch like commands in "Can I use LLVM to convert C++ code to C code?" dragonegg_disable_version_check=1 llvm-gcc -emit-llvm test.c -o test -c llc -march=c test -o testout.c so I meant to compile test.c, which can be compiled and run by normal

R-geographers... I'm trying to solve a problem to implement a line-by-line tiled processing using RGDAL (read 1 line of an image, process the one line, write one line of the image to a binary file). Everything except for the final step I'm able to do using a combination of RGDAL and r-base commands. Below is the basic structure, the input file "elev" can be any image file

Hi Eric,Thanks for the explanation. Is there a way to save the results automatically after the analysis gets over?. As I recently lost the results, because I didn't save the results. I don't want to run the sink or save command after the analysis is over rather run the command for saving the file before starting to run the analysis, so the file gets saved automatically after the script has

Hi, I would like to get all X iterations in optim output in matrix form. I know about the follow approach: sink("reportOptim") optim( ......., control=list( trace=6,..........) ) sink() all_iterOptim <- readLines("reportOptim") unlink("reportOptim") all_iterOptim <- all_iterOptim[ grep( '^X', all_iterOptim ) ] ### TODO: the rest !!! :-) But it is very

I've ported somebody else's rather cumbersome Matlab model to R for colleagues that want a free build of the model with the same type of I/O. The Matlab model reads a text file with the initial parameters specified as: C:\Data\Carluc\Rport>more Params.R # Number of years to simulate nYears = 50; # Initial year for graphing purposes year0 = 1970; # NPP/GPP ratio (cpp0 unitless) fnr =

OK, I give up and come grovelling, "Fork" was suggested at 18:23, it's now 22:20 and I have been through 4 different methods, all block with a 2 second delay before returning to dialplan. Here are just some of the examples I have tried, as as per the suggestions, I am closing all possible outputs in the forked process. https://docs.python.org/3.5/library/multiprocessing.html

Back to my favourite R subject: batch mode. Some months ago, I pointed out how the default of saving .RData automatically in batch can often lead to completely erroneous results when using data.frames. Basically the idea of .RData is to save the environment to start where one left off. This will generally be quite different than where one started the session. The idea of a batch file is to redo a

No. You have not used it correctly. It was an example. Put your commands between the two sink functions. That will save any printed out put that results from those commands. It will not save attr, but you did not ask how to do that. David C On Nov 1, 2017 12:21 PM, Priya Arasu <galaxie2485 at yahoo.co.in> wrote: Hi David, Thank you for the example. When I try to use the cat function, I get

Hello I tried to define replacement functions for the class "mylist". When I test them in an active R session, they work -- however, when I put them into a package, they don't. Why and how to fix? make_my_list <- function( x, y ) { return(structure(list(x, y, class="mylist"))) } mylist <- make_my_list(1:4, letters[3:7]) mylist mylist[['x']] <- 4:6

Hi I have a list : mylist <- list( a = NULL, b = 1, c = 2 ) > mylist[1] $a NULL > is.null(mylist[1]) [1] FALSE > is.null(mylist$a) [1] TRUE why? I need to use mylist[1]

I can define a list containing NULL elements: > myList <- list("aaa",NULL,TRUE) > names(myList) <- c("first","second","third") > myList $first [1] "aaa" $second NULL $third [1] TRUE > length(myList) [1] 3 However, if I assign NULL to any of the list element then such element is deleted from the list: > myList$second <-

Hi r-users, I have a matrix B and a list of 3x3 matrices (mylist). I want to calculate the quantiles in the list using each of the value of B as probabilities. The codes I wrote are: B <- matrix (runif(12, 0, 1), 3, 4) mylist <- lapply(mylist, function(x) {matrix (rnorm(9), 3, 3)}) for (i in 1:length(B)) { quant <- lapply (mylist, quantile, probs=B[i]) } But quant

Dear all, I think that my question is very simple but I failed to solve it. I have a list which elements are matrices like this: >mylist [[1]] [,1] [,2] [,3] [1,] 1 3 5 [2,] 2 4 6 [[2]] [,1] [,2] [,3] [1,] 7 9 11 [2,] 8 10 12 I'd like to create a matrix M<-mylist[[1]]+mylist[[2]] [,1] [,2] [,3] [1,] 8 12 16 [2,] 10 14 18