similar to: NLS sensitivity to start= values or poles in data range

Sorry, I pasted the wrong file in earlier... this is the correct one: pValCalculator(b, n=20, m=20) { ind <- 1:min(c(n,m)) prob <- (1-pnorm(b,sd=std*sqrt(ind))) prob1 <- sum((n-ind+1)*(m-ind+1)*prob) prob1 } inputData <- scan("/users/lvssso/projects/LAMA/output/pValLamaScore.tmp", list(block1 = "",block2 = "",width1 = 0,width2 = 0,alignment = 0,score

Hi, Sorry to bother you guys with this syntax problem, this is my first R program, and I seem to not have grasped something right. I keep getting an error message from 'parse' on the line with the *** : pValCalculator(b, n=20, m=20) { ind <- 1:min(c(n,m)) prob <- (1-pnorm(b,sd=std*sqrt(ind))) prob1 <- sum((n-ind+1)*(m-ind+1)*prob) prob1 } inputData <-

Hello, I have created a .dll file using G77 and MinGW on my PC (Windows 2000). After using dyn.load to bring it into R2.0.1, I then call the .dll through the function ccprox shown below. It returns the correct values. If I run it a second time though it returns different values, so it seems something is being placed oddly in memory. If I unload and reload the .dll it works again the first

Hi all, I have a question regarding the memory usage for the attach function. Say I have a data.frame inputdat that I create with read.csv. I would like to know what happens on the memory side when I use attach(inputdata) Is there a second allocation of memory for inputdata? Then I'm using eval on a expression which depends on the columns of inputdata. Is it better not to use attach

Hi, I have a simple question that I just cannot figure out. I have 2 corresponding columns of data, one column (X-axis) for time (formatted thus: 8:30:01am = 830.1, 12:30:05pm = 1230.5, and one column (Y-axis) for values. When I attempt to plot the data using something like plot(inputdata[,1],inputdata[,2],type="l"); I get breaks in the plot (since the time essentially jumps from

Hi everybody, I a, trying to use R as a pipe like this: cat inputData | R --silent RCommandFile >outputData The RCommandFile would contain something like readLines(stdin()). I have tryed various things and none did work cleanly. One possible solution is to use the pipe() function inside R and to pass in the "cat inputData" however this is not very convenient since I would like to

The VQ codebook generation utilities are more or less ready to go. Minor things are left to do, but those will have to be handled as I to them :-) The next thing to do is complete the interface to get compression modes and codebooks to the library for encoding (minor stuff), and then arrange how exactly the MDCT residue is filtered through the codebooks. VQ codebook util instructions:

Hello, Writing to seek help in regard to some unexpected performance anomaly i am observing in using tsoutlers:tso on the mac vs on an AWS cloud server.. I am running the following code with very small dataset of about 208 records. d.dir <- '/Users/darshanpandya/xxxxxx' FNAME <- 'my_data.csv' d.input <- fread(file.path(paste0(d.dir,"/zzz/"),FNAME,fsep =

Hello everyone, Hopefully a simple question. How can I access function argument alignment information? If my code has something like this: void foo(short * __restrict __attribute__ ((aligned(8))) InputData){} ...as I deal with argument (InputData) can I get the alignment info set for it? Thanks! Sergei --- Qualcomm Innovation Center, Inc. is a member of Code Aurora Forum, hosted by

Hello, I am a (relatively) experienced programmer, but new to R. I have a problem using R 1.9.1. I have fit some data using glm(), from within a function: formula = as.formula(paste(depvarname, "~", rhs), env=globalenv()) return (glm(formula, family=binomial(link=logit))) I have now come back to the formula and want to add some more variables to it. So I do:

Greetings, My goal is to create a Markov transition matrix (probability of moving from one state to another) with the 'highest traffic' portion of the matrix occupying the top-left section. Consider the following sample: inputData <- c( c(5, 3, 1, 6, 7), c(9, 7, 3, 10, 11), c(1, 2, 3, 4, 5), c(2, 4, 6, 8, 10), c(9, 5, 2, 1, 1) ) MAT <- matrix(inputData,

Hello, Writing to seek help in regard to some unexpected performance anomaly i am observing in using tsoutlers:tso on the mac vs on an AWS cloud server.. I am running the following code with very small dataset of about 208 records. d.dir <- '/Users/darshanpandya/xxxxxx' FNAME <- 'my_data.csv' d.input <- fread(file.path(paste0(d.dir,"/zzz/"),FNAME,fsep =

Hi, I am trying to use a CGI service (Pubchem PUG) via RCurl and am running into a problem where the data must be supplied via POST - but I don't know the keyword for the argument. The data to be sent is an XML fragment. I can do this via the command line using curl: I save the XML string to a file called query.xml and then do curl -d @query.xml

hi there, can anyone help me on the topic of frag polynoms? i just heard of a friend of mine, that i could build in a functioon called fragpoly (he was talking of such a function in the 'stata' language) in order to improve my process of finding an optimal linear model. instead of trying a vast amount of transformed inputdata to find the best fit and then step backwards down to e.g.

Dear R users & experts, I'd like to create a model using lm (or glm) under some constraints of how coefficients for each component could look like (sort of a range of coefficients that should be allowed). So let's go for an example : model=lm(age ~ eyecolor + height, data=inputdata) So let's suppose that R pops out a model with positive estimates for the coefficients eyecolor

Hello, I have various datasets of zoo time series (merged into single frames via the "merge" command) such as date var0 var1 var2 var3 08/07/1996 652.54 0.223922 0.515819 0.502638 08/08/1996 662.59 0.997841 0.000383 0.999806 06/09/1996 655.68 0.901685 0.569763 0.866333 08/10/1996 700.64 0.268855 0.244701 0.329285 08/11/1996 730.82 0.438407 0.501427 0.461374

Hi, I have a randomforest object "cost.rf" that was created in splus 8.0, now I need to use this trained RF model in R. So in Splus, I dump the RF file as below data.dump("cost.rf", file="cost.rf.txt", oldStyle=T) then in R, restore the dumped file, library(foreign) data.restore("cost.rf.txt") it works fine and able to restore the

I have a text file that has semi-colon separated values. The table is nearly 10,000 by 585. The files looks as follows: ******************************************* First line: Skip this line Second line: skip this line Third line: skip this line variable1 Variable2 Variable3 Variable4 Unit1 Unit2 Unit3 10 0.1 0.01 0.001 20

Hi, All I have a problem of R memory space. I am getting "Error: cannot allocate vector of size 198.4 Mb" ------------------------------ I've tried with: > memory.limit(size=2047); [1] 2047 > memory.size(max=TRUE); [1] 12.75 > library('RODBC'); > Channel<-odbcConnectAccess('c:/test.MDB'); # inputdata:15 cols, 2000000

Hi guys, In porting our project over to LLVM-2.8 today I ran into a change that should probably go in the 2.8 release notes. After r100485, the MemoryBuffer::getMemBuffer went from: /// getMemBuffer - Open the specified memory range as a MemoryBuffer. Note /// that EndPtr[0] must be a null byte and be accessible!