similar to: Programming Problem (for loop, random # control, 3 dimentional graph)

Is it possible to program the multi-purpose keys on a GXP-2000 remotely via a TFTP configuration file? If so, what are the parameters to put in the configuration file? Thanks, Daniel

Hello experts I have a thing which I can't vectorize. Can any gurus out there help? This is my truncated dataset; it is a dataframe of five possums and which tree they slept in on three days. R> dataset p14 p88 p82 p90 p98 1 6 7 5 1 3 2 8 9 10 1 11 3 8 7 12 13 14 I can manipulate it with simple functions fine: R> f function(n){n+1000} R> f(dataset)

Dear Dr. Liaw Andy: I have a few more questions about your heatmap function. actually heatmap is what I am looking for. heatmap(x, Rowv, Colv, distfun = dist, hclustfun = hclust, add.expr, scale=c("row", "column", "none"), na.rm = TRUE, ...) my data is a XNEW, > dim(XNEW) [1] 554 335 554 genes, 335 samples. now I want to use 1-CORR as a distance

Hi: I have a large dataset mydata, of 1000 rows and 1000 columns. The rows have gene names and columns have condition names (cond1, cond2, cond3, etc). mydata<- read.table(file="c:/file1.mtx", header=TRUE, sep="") I applied PCA as follows: data_after_pca<- prcomp(mydata, retx=TRUE, center=TRUE, scale.=TRUE); Now i get 1000 PCs and i choose first three PCs and make a

Hello all: I've read the document named "A Brief Introduction to R, the multilevel package and the nlme package". At p68, one can transform the dataset to the required format by using "make.univ". I wanna know,how the new variable "MULTDV" is calculated(can you show me the formula if possible please?)?And what's the usage of this new variable in the following

Hi After a few days of very fine work, my dom0 went mad. (using xen-3.0.2) It''s ksoftirqd keeps 70% of cpu all the time. Is there anything I can do? Regards, Steffen begin 666 smime.p7s M,( &"2J&2(;W#0$''`J" ,( "`0$Q"S )!@4K#@,"&@4`,( &"2J&2(;W#0$'' M`0``H(())#""`JPP@@(5H ,"`0("`P]Z''3

Hello R experts, what follows is my reproducible example: mydata<-structure(list(ped.avg = c(335.9, 110.8, 645.7, 638.9, 1468.1, 126.4, 4811.1, 88.5, 868.5, 656.6, 723.6, 654, 2.8, 15, 14.2, 17.5, 15.4, 112.1, 424.7, 18.3, 19.9, 28.6, 25.6, 23.5, 15.4, 27, 62.1, 15.6, 74.6), ped.erst = c(96, 53.2, 615.2, 616.5, 512.9, 56.2, 1851.8, 57.1, 579.5, 613.2, 601.1, 613.6, 1.3, 6.3, 6.5, 6.1,

(re-formulate, re-send, without html) for vector y = c(1,2,3,4,5), H = 0.66 manual calculations using the equations below give a = c(1,1.66,2.55,3.51,4.50). KalmanRun with these parameters gives res$states = (1,1,1,1,1)! for Kalman Filter Durbin/Koopman give at p67 eqs 4.13: v = y - Z a, F = Z P Z' + H, K = T P Z' / F + H, a[t+1] = T a + K v, P[t+1] = T P L'

Is there an R-language interface to the R API C-language functions Rf_logspace_add() and Rf_logspace_sub()? I don't see one but I may not looking under the right name. Various packages have functions which do that same sort of thing (log(exp(x)+exp(y)) and log(exp(x)-exp(y)) without unnecessary floating point errors). They have names like matrixStats::logSumExp(lx, na.rm=FALSE, ...)

Dear all,I am a new user of WinBUGS and need your help. After running the following code, I got parameters of beta0 through beta4 (stats, density), but I don't know how to get the prediction of the last value of h, the variable I set to NA and want to model it using the following code.Does anyone can given me a hint? Any advice would be greatly appreciated.Best

Dear R-group members, I use: platform i386-pc-mingw32 arch x86 os Win32 system x86, Win32 status major 1 minor 4.1 year 2002 month 01 day 30 language R I try to fit a 2 compartment model. The compartments are open, connected to each other and

-----BEGIN PGP SIGNED MESSAGE----- Hi, a security hole has been found in the auxiliary fax scripts "faxq" and "faxrunq" in the mgetty+sendfax package. It has been in there since the first day those scripts were written. Due to improper quoting in these shell scripts, it''s possible to execute code with a foreign user id, and get root access to the machine. The

I''ve been using file_column for a while and it''s the best thing since sliced bread. But there''s one thing that it doesn''t do that seems like it''d be a pretty useful feature. For an app I''m working on I really need to know the dimensions of the store image in my view (and in general it''s always good to have the dimensions in your

Suppose there are 4 variables d is a function of a , b and c I want to know how a, b and c change will make d change It will be straightforward to see it if we can graph the d surface if d is only a function of a and b, I can use 'persp' to see the surface of d. I can easily see at what values of a and b, d will get the maxium or minium or multiple modes, etc But for 4 dimention graph,

This question likely has a 1 line answer, I'm just not seeing it. (2, 3, or 10 lines is fine too.) For a vector I can do group <- match(x, unqiue(x)) to get a vector that labels each element of x. What is an equivalent if x is a data frame? The result does not have to be fast: the data set will have < 100 elements. Since this is inside the survival package, and that package is on

It is frustrating to see the labels I want in the dimensions of a list but not be able to extract those labels into titles for plots generated from component objects. If someone could set me straight, I would appreciate it. For your amusement, I have provided an example of the Byzantine code I am currently using to avoid loops: # Simulate ANOVA type test data sex<-c(rep(1,8),rep(0,8))

Dear all, May I suggest to add an example in the help page of the colors() function ? The following code could be useful to easily choose any color from colors() : ## Millot G. (2011), p.71. ## Figure displaying all the 657 built-in color names of colors(). palette(colors()) tempo<-NULL for(i in 14:1){tempo<-c(tempo, rep(i,50))} windows(width=10) # replace by quartz(width=10) for MacOS and

I estimate some parameters and I want to print them (pretty) on my plot: # somehow estimated parameters z<-c(1.543523e+00, 1.23453e+00, 3.454000e+00) x<-seq(-1,1,length=100) plot(x,z[3]*x^2+z[2]*x+z[3],type="l", main="My nice plot of the estimated function") zs<-format(z,digits=4,scientific=FALSE,trim=TRUE) text(-0.9,7,expression(1.54*x^2)) # is

I propose the following enhancements and changes to plot.lm(), the most important of which is the addition of a Residuals vs Leverage plot. (1) A residual versus leverage plot has been added, available by specifying which = 5, and not included as one of the default plots. Contours of Cook's distance are included, by default at values of 0.5 and 1.0. The labeled points, if any, are those

Hello * this morning I tried to upgrade from pxelinux 3.11 to 3.84 and discovered that the localboot stuff does not work on HP DL360 G3 and G5. The latest syslinux Version I found with a working localboot is 3.36. pxelinux.cfg/default: default harddisk prompt 1 label harddisk localboot 0 implicit 0 timeout 250 This so simple, it should just work, shouldn't it? The