similar to: How to add circular text for a graph with concentric circles

Hello R Users, How to make a variable equidistance with time i.e. how to interpolate a variable if it is not sampled at equal time interval. Many thanks, Regards, Yogesh [[alternative HTML version deleted]]

Hi, I am a biologist (relatively new to R) analyzing data which we predict to fit a power function. I was wondering if anyone knew a way to model piecewise functions in R, where across a range of values (0-x) the data is modeled as a power function, and across another range (x-inf) it is a linear function. This would be predicted by one of our hypotheses, and we would like to find the AICs

I have a data set which I would like to plot as a set of concentric circles. The data represent a count of the number of characteristics shared by various elements - an example would look like this: 1 100 2 75 3 50 4 25 I.e. all four sets share 25 characteristics, three of them share 50 characteristics, and so on. I would like to plot these as concentric circles, with the circle size

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Symptoms: curve with log x axis gets the wrong x limits (in 2.6.1, I believe introduced in this version). Credit goes to Mike McCoy for detecting the problem. Demonstration: x = 1:5 plot(x,5*exp(-x),xlim=c(0.1,1000),log="x") xvec = 10^seq(-1,3,length=100) lines(xvec,5*exp(-xvec)) curve(5*exp(-x),add=TRUE,col=2,lwd=3) I believe

Hi, I've got a matrix, Z, of values representing (as it happens) optical power at each pixel location. Since I know in advance I've got a single, convex peak, I would like to do a 2D parabolic fit of the form Z = poly((x+y),2) where x and y are the x,y coordinates of each pixel (or equivalently, the row, column numbers). Is there an R function that lets me easily implement that?

Hi, Suppose I have a multivariate response Y (n x k) obtained at a set of predictors X (n x p). I would like to perform a linear regression taking into consideration the covariance structure of Y within each unit - this would be represented by a specified matrix V (k x k), assumed to be the same across units. How do I use "lm" to do this? One approach that I was thinking of

Hi all, Running R 0.90.1 on a RH 6.1 system. Installation of the integrate_2.1-2 package went smoothly. My code contains a loop in which integrate() is called several times in each pass. I get a segmentation fault after what seems to be a random number of calls to integrate(). Debug output shows: Program received signal SIGSEGV, Segmentation fault. promiseArgs (el=0x40276414,

Hello, everybody I run the following program, and depending on the size of eps I get different results. With eps=1e-05, the program calculates wrong values for x=65:67 and others. The program runs fine with eps=1e-07. Why is this so? Also, I am using area() instead of integrate() because I cannot make integrate to work, especially with imaginary numbers. Maybe someone can show me how to use

Hai wine users, I am basically new to wine i installed wine-0.9.5 on redhat linux 9.0release and went through the instruction given for installation. When i invoke wine it gives error like this: wine: error while loading shared libraries: libwine.so.1: cannot open shared object file: No such file or directory I do not understand what could be the reason for this problem All the wine user

Hi everyone, newbee query! I've installed R 2.8.0 and tried to run this simple glm - x is no of cars in a given year, y is the number voted in an election that year while n is the population 18+: votes <- data.frame(x = c(0.62,0.77,0.71,0.74,0.77,0.86,1.13,1.44), + y=c(502,542,711,653,771,806,934,1123), n=

Would it be sufficiant if I were to copy the makefile and res_config_ldap.c to the res/ directory of my running Asterisk and do make; make install? or do I have to do LIBS=-lldap export LIBS ./configure before that? My asterisk version is 1.2.6. Thanks in advance, Abhishek * * * * On 8/27/07, Gavin Henry <gavin.henry at gmail.com> wrote: > > I see it is res_config_ldap. You'd be

Hello List! I asked this before (with no solution), but maybe this time... I'm trying to project a surface to the XY under a 3d cloud using lattice. I can project contour lines following the code for fig 13.7 in Deepayan Sarkar's "Lattice, Multivariate Data Visualization with R", but it fails when I try to "color them in" using panel.levelplot. ?utilities.3d says there

Also see the "arctext" function in the plotrix package. Jim On Fri, Mar 31, 2023 at 11:12?AM Jim Lemon <drjimlemon at gmail.com> wrote: > > Hi Jinsong, > Maybe "srt" will do what you want. As you noted non-orthogonal > rotations may not work on some devices. You may be able to download > mirror fonts from places like fontmirror.com, but it more

Hi Jinsong, Maybe "srt" will do what you want. As you noted non-orthogonal rotations may not work on some devices. You may be able to download mirror fonts from places like fontmirror.com, but it more complicated. Jim On Thu, Mar 30, 2023 at 7:25?PM Jinsong Zhao <jszhao at yeah.net> wrote: > > Hi there, > > > I just noticed that "crt" is a graphical

I have an optimization question that I was hoping to get some suggestions on how best to go about sovling it. I would think there is probably a package that addresses this problem. This is an ordering optimzation problem. Best to describe it with a simple example. Say I have 100 "bins" each with a ball in it numbered from 1 to 100. Each bin can only hold one ball. This optimization is

Hello ! I am attempting to switch from being a long time SAS user to R, and would really appreciate a bit of help ! The first thing I do in getting a large dataset (thousands of obervations and hundreds of variables) is to run a SAS command PROC CONTENTS VARNUM command - this provides me a table with the name of each variable, its type and length; then I run a PROC MEANS - for numerical

Hi, I have been using R for close to two years now and have grown quite comfortable with the language. I am presently trying to implement an optimization routine in R (Newton Rhapson). I have some R functions that calculate the gradient and hessian (pre requisite matrices) fairly efficiently. Now, I have to call this function iteratively until some convergance criterion is reached. I think the

Dear wonderful R community, I've been creating color-coded concentric circles using the "points" function, but I just realized that what I would really like to do is draw color-coded concentric half-circles. (Because I want to communicate information about the diameters-- half-circles are sufficient to show diameters AND they leave ample room to one side of the figure to label

Dear R-users, I have a data matrix with 20 rows and 10 columns which is stored in the hard drive as .csv file called c:\DataFile.csv and a 10 elements vector called xVec. I would like to be able to copy and paste the information contained in xVec into (say) the 2nd row of DataFile.csv Obviously, one way of doing this would be to read the matrix using read.csv() command, implement the copy and

Hello, Novice programmer. I'm writing C source code and compiling it in as *.dll in the terminal by R CMD SHLIB foo.c. It works, I'm on a 64 bits windows system. I have the lastest R 2.15.0 and Rtools using the gcc 4.6.3 compiler. However, that was a hello world run, and I installed GSL for the 64 bit system for fast MCMC. The Rcpp package was easy to use, but I opted for a C with GSL