similar to: Repeating a function in R

I am trying to generate two dimensional random coordinates. For randomly distributed data I have simply used >xy<-cbind(runif(100),runif(100)) However I also want to generate coordinates that are more uniformly distributed, and coordinates that are more contagiously distributed than the above. Can anyone make any suggestions Thanks. Dr Terry Beutel Rangeland Scientist Animal

Hi, I hope somebody can help me with this issue: I am doing population pyramids using the barplot command, so in the left side I have male age structure and in the right side the female age structure. To plot the male age structure I put the data in negative numbers. Now, I want to change the sign in the bar plot in such way that I have no-sign numbers, both in left and right side of the graph. I

Hi there, Maybe people who know both R and econometrics will be able to answer my questions. I want to run panel regressions in R with fixed-effect. I know two ways to do it. First, I can include factor(grouping_variable) in my regression equation. Second, I plan to subtract group mean from my variables and run OLS panel regression with function lm(). I plan to do it with the second way because

The loop is correct, you just need to make sure that your result is computed and stored as the n-th element that is returned by the loop. Pick up any manual of R, and looping will be explained there. Also, I would recommend that you draw a random number for every iteration of the loop. Defining the random vectors outside the loop make sense to me only if they are the same length as n.

Dear R-help, I am writing some simulation code to create multiple sets of time-to-event clinical trial data (for use in meta-analysis). Within each trial, I want to apply censoring via simulation of uniform variables (with minimum zero and maximum the median outcome time for that particular trial). I have started by pre-allocating a matrix which has 3 columns; one for trial number, one for

Hi, I summary() a variable with 409908 numeric observations. The variable is part of a data.frame. The problem is that the min and max returned by summary() do not equal the ones returned by min() and max(). Does anybody know why that is? > min(data$vc) [1] 15452 > max(data$vc) [1] 316148 > summary(data$vc) Min. 1st Qu. Median Mean 3rd Qu. Max. 15450 21670 40980

How can achieve this in R using seq, or rep function c(-1,0,1,0,-1,0,1,0,-1,0) The range value is between-1 and 1, and I want it such that there could be n number of points between -1 and 1 Anyone? Please help Thanks Rusty [[alternative HTML version deleted]]

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, I have a good grasp of grep() and gsub() for finding and extracting character strings. However, I cannot figure out how to use a search term that is stored in a variable when the search string is more complex. #Say I have a string, and want to know whether the last name "Jannings" is in the string. This is done by names=c("Emil Jannings") grep("Emil",names)

Hi, I perform latent class analysis on a matrix of dichotomous variables to create an indicator of class/category membership for each observation. I would like to know whether there is a function that selects the best fit in terms of number of classes/categories. Currently, I am doing this with the lca() function of the e1071 package. This function requires me to specify the number of classes

I am completely misunderstanding how to handle dates. I want to plot a couple of data series against some dates. Simple example 1 below works fine. Unfortunately I have multiple observations per day (no time breakdowns) and observations across years. (example 2 very simplistic version ) Can anyone suggest a quick fix or point me to something to read? I thought that zoo might do it but I seem

I wish to generate a vector of uniformly distributed data with a defined correlation to another vector The only function I have been able to find doing something similar is corgen from the library ecodist. The following code generates data with the desired correlation to the vector x but the resulting vector y is normal and not uniform distributed library(ecodist) x <- runif(10^5) y

Hello everyone. Like others on this list, I'm new to R, and really not much of a programmer, so please excuse any obtuse questions! I'm trying to repeat a function across all possible combinations of vectors in a data frame. I'd hugely appreciate any advice! Here's what I'm doing: I have some data: 40 samples, ~460 000 different readings between 1 and 0 for each sample. I

Hello! I have a question on uniform distribution. I want to plot n, say 20, points, uniformly distributed, in a circle, with radius=0.1 and center,say, (0.4, 0.8) I do not know how~ Thank you for your time. Yours Wolfgang Amadeus [[alternative HTML version deleted]]

Hi Geoff, Geoff Shang wrote: > Hi, > > That's what fallback-override is meant to do. Are you saying that it's not > working for you? Not working. But what is wrong? I've added the second mount to icecast.xml and tested whether it switch back to the original mount point. The mount part of icecast.xml: <mount>

Dear I try to realize one scatter matrix which draws *one single variable to all variables* with *regression line* . You can see my eviews version in the annex . How can I draw this graph with R studio? Sincerely Engin YILMAZ

Hello, i guess this question appeared before, but I haven't found anything by searhing the whole morning. I know that some web radio stations use icecast2. They also have a web application that makes it possible to request songs, add items to the playlist of the source client and so on. Most of the web radios have developed the web application by itself (i guess so). I'm not able to

Hi, I want to get random number which is uniformly distributed on the unit disc. How can I do that with R? Best wishes, WAN WAN [[alternative HTML version deleted]]

Hi all, Say I have a matrix A with dimension m x 2 and matrix B with dimension n x 2. I would like to find the row in A that is closest to the each row in B. Here's an example (using a loop): set.seed(1) A <- matrix(runif(12), 6, 2) # 6 x 2 B <- matrix(runif(6), 3, 2) # 3 x 2 m <- vector("numeric", nrow(B)) for(j in 1:nrow(B)) { d <- (A[, 1] - B[j, 1])^2 + (A[,

Hello icecast user, That's my first post to this list, because everything works fine :) But now I'm missing a feature and I'm not sure if it is possible to realise. I have two mounts. Only one defined in the configuration: <mount> <mount-name>/gast.ogg</mount-name> <fallback-mount>/offline.ogg</fallback-mount>