similar to: font formating

I am trying to plot a small graphic inside the graphic area of a bigger graphic. Does anybody know the commend for that? Thanks a lot! -- MSc José Alberto F. Monteiro Botanisches Institut Universität Basel السلام عليكم [[alternative HTML version deleted]]

Does anybody know how to deffine in the test tukeyHSD the pairs of comparison that you want to get? It is throw the lmat commnad, but I don't know the correct usage... Thanks a lot! Jos? -- MSc Jos? Alberto F. Monteiro Botanisches Institut Universit?t Basel ?????? ?????

Hi, I have a vector or random variables and I'm estimating the density using "bkde" function in the KernSmooth package. The out put contains two vectors (x and y), and the R documentation calls y as the density estimates, but my y-values are not exact density etstimates (since these are numbers larger than 1)! what is y here? Is it possible to get the true estimated density at each

Hi, I'm using read.table in a loop, to read in multiple files. The problem is that when a file is missing there is an error message and the loop is broken; what I'd like to do is to test for the error and simply do "next" instead of breaking the loop. Anybody knows how to do that? Example: filelist <- c("file1.txt", "file2.txt",

I am having trouble with FC3. After doing a yum update (of 1264 packages) I still cannont compile 1.2.1 from source: make[1]: `libedit.a' is up to date. make[1]: Leaving directory `/usr/src/asterisk-1.2.1/editline' make[1]: Entering directory `/usr/src/asterisk-1.2.1/db1-ast' make[1]: `libdb1.a' is up to date. make[1]: Leaving directory `/usr/src/asterisk-1.2.1/db1-ast'

HI there, i know this is a basic question, though i need some help because this is somewhat away from my current issue, but nevertheless interesting to me... Lets assume i have some estimated probabilities, say estimated by a logit model. i know i can also state them as an odds ratio. Now i?d like to state these odds ratios as a reference to a specific outcome of my investigated

Hi, my problem is as follows: I have a matrix of two rows like this: 2 2 3 4 4 4 5 5 6 1 1 2 1 3 3 2 1 1 Can I apply something like "group by" in sql? What I want to achieve is the some of second row for each unique entry of first row: 2 -> 2 (=1+1) 3 -> 2 4 -> 7 (=1+3+3) 5 -> 3 (=2+1) 6 -> 1 Thanks!! Henning

I am writing a program in which I would like to take in a formula, change the response (Y) variable into something else, and then pass the formula, with the new Y variable to another function. That is, I am starting with formula <- Y~X1+X2+X3 and I'd like to do something like Y <- formula$Y newY <- f(Y) lm(newY~X1+X2+X3) So far, it seems that my

Dear R-helpers, I try to perform glm's with negative binomial distributed data. So I use the MASS library and the commands: model_1 = glm.nb(response ~ y1 + y2 + ...+ yi, data = data.frame) and predict(model_1, newdata = data.frame) So far, I think everything should be ok. But when I want to perform a glm with a subset of the data, I run into an error message as soon as I want to predict

Hi, I am trying to make a sequence and am using a for loop for this. I want to start off with an initial value ie S[0]=0 then use the loop to create other values. This is what I have so far but I just keep getting error messages. #To calculate the culmulative sums: s<-rep(0,207) #as this is the length of the vector I know I will have s<-as.vector(s)

Hi, Is there any function to skip a loop in a for loop ? Thanks Stanley [[alternative HTML version deleted]]

Hi all, Is that possible to get back to the par() default values easily? I played a bit with par() Regards/Cordialement ------------- Benoit Boulinguiez Ph.D Ecole de Chimie de Rennes (ENSCR) Bureau 1.20 Equipe CIP UMR CNRS 6226 "Sciences Chimiques de Rennes" Campus de Beaulieu, 263 Avenue du Général Leclerc 35700 Rennes, France Tel 33 (0)2 23 23 80 83 Fax 33 (0)2 23 23 81 20

Hi everybody! I'm looking for a function or option to make a full screen plot.. can you help me? and I would like to know if it's possible to automaticaly close a x11 windows.. because i have more than 100 graph to generate and what i want is: 1 - make a full screen graph 2 - save this plot in emf format 3 - close the plot (goto 1) thanks for your advices [[alternative HTML version

Hi, It's just some example code.. The application is uninteresting. I am searching for some functionality. X <- rnorm(100) //my data Y <- seq(-3,3,by=0.1) // bin boundaries. Now I would like to generate a - list of factors, length as X... i.e.: all values in the range [-3,-2.9) have the same factor... [-3,-2.9) etc. I would assume R has such a function but I cant recall which one

Hello, I have a sequence of numbers: seq(1:50) and I would like to have all the possible combinations with this numbers without repeating any combination: 11, 12, 13, ... ,22,23,24,... How can I do it? Best, Dani -- Daniel Valverde Saub? Grup de Biologia Molecular de Llevats Facultat de Veterin?ria de la Universitat Aut?noma de Barcelona Edifici V, Campus UAB 08193 Cerdanyola del Vall?s-

Hello I have a dataset named "b2" with 1521 rows, in that dataset i have 64 rows containing specific information. the rownumbers with specific info are: + i [1] 22 53 104 127 151 196 235 238 249 250 263 335 344 353 362 370 389 422 458 459 473 492 502 530 561 624 647 651 666 671 [31] 715 784 791 807 813 823 830 841 862 865 1036 1051 1062 1068

Hello, What is the best way of solving this problem? answer <- ifelse(tf=TRUE, i * 5, previous answer) where as an initial condition tf[1] <- TRUE For example if, tf <- c(T,F,F,F,T,T,F) over i = 1 to 7 then the output of the function will be answer = 5 5 5 5 25 30 30 Thank you. Phil,

Hi, Given the following, a <- rnorm(5) b <- rnorm(5) c <- rnorm(5) a.1g.scale <- scale(c(a,b,c))[1:5] b.1g.scale <- scale(c(a,b,c))[6:10] c.1g.scale <- scale(c(a,b,c))[11:15] a.2g.scale <- scale(c(a,b))[1:5] b.2g.scale <- scale(c(a,b))[6:10] c.2g.scale <- scale(c) a.3g.scale <- scale(a) b.3g.scale <- scale(b) c.3g.scale <- scale(c) I am puzzled why the

hi, I don't know what I am doing wrong, but with that code; x1 <- c(1.60, 0.27, 0.17, 1.63, 1.37, 2.00, 0.90, 1.07, 0.89, 0.43, 0.37, 0.59, 0.47, 1.83, 1.79, 0.90, 0.72, 1.83, 0.23, 1.97, 2.03, 2.19, 2.03, 0.86) x2 <- c(1.30, 0.24, 0.20, 0.50, 1.33, 1.87, 1.30, 0.75, 1.07, 0.43, 0.37, 0.87, 1.40, 1.37, 1.63, 0.80, 0.57, 1.60, 0.39, 2.03, 1.90, 2.07, 1.93, 0.93) model <-

Hello, This is a very basic question, but I don'y know the answer. I have these data delta <- c(28.6-8.825,28.6-8.828,28.6-8.836,28.6-8.845,28.6-8.897,28.6-8.944,28.6-9.027,28.6-9.091,28.6-9.263,28.6-9.4,28.6-9.7,28.6-9.981, 28.6-10.287,28.6-10.48,28.6-10.684,28.6-10.875) ph <- c(4.4,4.6,4.8,5,5.2,5.4,5.6,5.8,6,6.2,6.4,6.6,6.8,7,7.2,7.4)