similar to: My first R-program

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 <-

Colleagues, I am trying to create a PDF document in which I use margin text with two different fonts. The resulting text might be: XXXXXyZZZ where X and Z are one font and Y is the other. My plan was to do this in the following manner: mtext("XXXXX ZZZ", cex=2, adj=0.5, family=SOMEFONT) mtext("Y", cex=2, adj=??, family=DIFFERENTFONT) My question regards how to calculate

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 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

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 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

Hi: Goal: use R to turn a matrix of 1's and 0's into a corresponding image (e.g. png) of black and white pixels. Why R: Yes, I can do this more efficiently and precisely with a perl module like Image::PBM. Been there, done that many times, etc. (Just humor me. I'm trying to do this with R for a number of reasons.) Problem:

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

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, I've been trying to install R on Solaris, I've been following the instruction for configuring & compiling R (I have gcc and f77 installed)- but I get Error messages. I'd appreciate it if you could look at the output, (pasted below) and give me some advice on what to do. I've attached the R install 'readme'. Thanks, a quick reply would be greatly appreciated,

Hi all, I'm trying to invoke R from a perl program, using R BATCH. My original R program wrote an output to a file and plotted a graph. I'm having problems with the following three things: 1) To get the output file name form the perl program I wrote the following, in my R program: commandArguments <- commandArgs(); outputFile <- commandArguments[length(commandArguments)]; This

How does one ideally handle and display multidimenstional contingency tables in R v. 2.6.2? E.g.: > prob1<- data.frame(victim=c(rep('white',4),rep('black',4)), + perp=c(rep('white',2),rep('black',2),rep('white',2),rep('black',2)), + death=rep(c('yes','no'),4), count=c(19,132,11,52,0,9,6,97)) > prob1 victim perp

Hi everyone. I have these data: probClass<-seq(0,0.9,0.1) prob1<-c(0.0070,0.0911,0.1973,0.2949,0.3936,0.5030,0.5985,0.6869,0.7820,0.8822) prob2<-c(0.0066,0.0791,0.2358,0.3478,0.3714,0.3860,0.6667,0.6400,0.7000,1.0000) # which I'm plotting as follows: plot(probClass,prob1,xlim=c(0,1),ylim=c(0,1),xaxs='i',yaxs='i',type="n") lines(probClass,prob1)

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, 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

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 all, I would like to create a code for semiparametric Klein and Spady's estimator. For that I created a function that provides the log-likelihood function for each observation (so it is a function of betas and i, where i denotes the observation). Now, in order to maximize the log-likelihood function, I have to sum these log-likelihood functions for each i and so to get another function