similar to: ? extended rep()

Dear All, I cannot find a solution to the following problem although I imagine that it is a classic, hence my email. I have a vector V of X values comprised between 1 and N. I would like to get random samples of X values also comprised between 1 and N, but the important point is: * I would like to keep the same distribution of distances between the X values * For example let's say N=10 and

I have several samba servers on Debian 10 all using : samba 2:4.9.5+dfsg-5+deb10u1 amd64 I use tls cafile, tls certfile and tls keyfile with certificates from Sectigo (https://cert-manager.com) And when checking my connexion from the samba server, or from outside, I've got "unable to verify the first certificate" even if tls_cafile is provided in smb.conf. What is wrong

Hi Folks, Maybe I've missed it already being available somehow, but if the following isn't available I'd like to suggest it. If you're happy to let plot() choose its own limits, then of course plot(x,y) will do it. If you know what limits you want, then plot(x,y,xlim=c(x0,x1),ylim(y0,y1) will do it. But sometimes one would like to a) make sure that (e.g.) the y-axis has a

Hi again! Following up my previous posting below (to which no response as yet), I have located a report which situates this type of question in a longitudinal modelling context. http://www4.stat.ncsu.edu/~dzhang2/paper/glm.ps Generalized Linear Models with Longitudinal Covariates Daowen Zhang & Xihong Lin (This work seems to originally date from around 1999). They consider an outcome Y,

Greetings All, Out of curiosity, I've just done a very primitive experiment: Obj <- list(Fun=sum, Dat=c(1,2,3,4)) Obj$Fun(Obj$Dat) # [1] 10 That sort of thing (much more sophisticated) must be documented mind-blowingly somewhere. Where? Where I stand right now: The above (and its immediately obvious generalisations, like Obj$Fun<-cos) is all I know about it so far. Ted.

I am interested in studying the binary representation of numerics (doubles) in R, so am looking for possibilities of output of the internal binary representations. sprintf() with format "a" or "A" is halfway there: sprintf("%A",pi) # [1] "0X1.921FB54442D18P+1" but it is in hex. The following illustrate the sort of thing I want: 1.1001 0010 0001 1111

Greetings, Folks. I'd appreciate being shown the way out of this one! I've been round the documentation in ever-drecreasing circles, and along other paths, without stumbling on the answer. The background to the question can be exemplified by the example (no graphics window open to start with): set.seed(54321) X0 <- rnorm(50) ; Y0 <- rnorm(50)

Hi, I would like to draw 10 uniformly distributed sample points from a circle with redius one and centered at (0,0). Is there any R function to do that?   Thanks, [[alternative HTML version deleted]]

Hi Folks, I'm running Debian-4.0 Etch, installed last September from a DVD, and regularly updated as things arise. I have R version 2.4.0 Patched (2006-11-25 r39997) installed (initially at the time of first installation of Debian, as provided by Debian), along with a variety of packages. I'd like to be able to connect to the CRAN repositories for Debian R, for updates etc. When I visit

Hi Folks, I'm comparing some output from R with output from SPSS. The coefficients of the independent variables (which are all factors, each at 2 levels) are identical. However, R's Intercept (using default contr.treatment) differs from SPSS's 'constant'. It seems that the contrasts were set in SPSS using /CONTRAST (varname)=Simple(1) I can get R's Intercept to match

What are some reliable R functions that can compute the value of a convergent series? David -- David R. Bickel, PhD Associate Professor Ottawa Institute of Systems Biology Biochem., Micro. and I. Department Mathematics and Statistics Department University of Ottawa 451 Smyth Road Ottawa, Ontario K1H 8M5 http://www.statomics.com Office Tel: (613) 562-5800 ext. 8670 Office Fax: (613) 562-5185

Greetings! I would like to be able to specify a fixed (say) lower limit for plotting, while leaving the upper limit "floating, when plotting. The context is that the maximum in the data to be plotted is unpredictable, being the consequence of a simulation, whereas I know that it cannot be less than (say) 0; and I want to fix the lower limit at 0 in any plot, leaving the upper limit to be

I have a data matrix X (n x k, say) each row of which constitutes an observation of a k-dimensional random variable which I am willing, if not happy, to assume to be Gaussian, with mean ``mu'' and covariance matrix ``Sigma''. Distinct rows of X may be assumed to correspond to independent realizations of this random variable. Most rows of X (all but 240 out of 6000+ rows)

Hi Folks, I'm advising someone who's a beginner with R, and therefore wants the simplest answer possible. The issue is to produce a plot using plot(x,y,...) where, on the X-axis, the tick-marks should be on the lines of: -- Range of X-axis: 0:1000 -- tick-marks labelled "0","200",...,"800","1000" -- unlabelled tick-marks every 50 from 0 to

Hi Folks, Quick question. I have the following line in an R code file which runs fine on Linux: if(PNG) png(GraphName,width=12,height=15,units="cm",res=200) I learn that, when the same code was run on a Windows machine, there was the following error: Error in png(GraphName,width=12,height=15,units="cm",res=200): unused argument(s) (units = "cm") Sorry to

Hi Folks, Compare print(1234567890,digits=4) # [1] 1.235e+09 print(1234567890,digits=5) # [1] 1234567890 Granted that digits: a non-null value for 'digits' specifies the minimum number of significant digits to be printed in values. how does R decide to switch from the "1.235e+09" (rounded to 4 digits, i.e. the minumum, in "e" notation) to

Hi Folks, Say I have 2 continuous variables X,Y. I can of course plot (X,Y) with plot(X,Y,pch="+",col="blue") say, and add the regression line from lm(Y~X) by extracting the coefficients 'a' of Intercept and 'b' of X from Y.lm <- lm(Y~X). Now, however, I want to have not only a general explanatory title such as main="Plot of Y against X"

sorry but how do i accsess r archives __________________________________________________ [[alternative HTML version deleted]]

Greetings all! I'm wanting to plot contours of a function, and I don't want to evaluate it at a dense grid of points (i.e. I don't want a huge array of values). Say I have a vector of x-values such as x <- 0.1*c(1:10), and the same for y <- 0.1*(0:10). I then evaluate a 10*10 matrix z of values of z = f(x,y). so I can then do CL <- contourLines(x,y,z) and get a list of

Hi Folks, I'm a bit puzzled by the following (example): N<-factor(sample(c(1,2,3),1000,replace=TRUE)) unique(N) # [1] 3 2 1 # Levels: 1 2 3 So far so good. Now: contrasts(N)<-contr.treatment(3, base=1, contrasts=FALSE) contrasts(N) # 1 2 # 1 1 0 # 2 0 1 # 3 0 0 whereas: contr.treatment(3, base=1, contrasts=FALSE) # 1 2 3 # 1 1 0 0 # 2 0 1 0 # 3 0 0 1 contr.treatment(3, base=1,