similar to: changing plot font for Times new roman

Dear all, I have a data.frame like the sample below, and I would like to expand my data.frame using "population" variable. So, for each line of my data.frame I would like that the new data.frame have many rows as the population collumn. place<-c("place1", "place2", "place3", "place4", "place5") population<-c(100,200,300,50,30)

Dear all, I have strong interest on Ecological Niche Model, which in general use a set of environmental variables (continuous, categorical etc) and Presence (or Presense/Absence) records for species. I think that "grasp" and "adehabitat" packages could help me on these tasks. My input layers are on ASC format, and the record of species is a data-frame with X, Y, name of

I am trying to produce a simple plot where the points in the plot are actually integers from my data. That is, I am making a length/width plot and I would like the points, rather dots or triangles, appear as different numbers corresponding to a column in my data. I have tried using this: ...,pch="column title" but this merely returns the first letter of the column title, B. Is there

Hi, how can I treat data organised in classes and frequencies? Ex. class frequency 20-23 9 23-25 7 26-28 5 29-31 5 32-34 3 Thanks Angelo Scozzarella

I want to create a dataset in R with spatial correlation (i.e. clustering) built in for a linear regression analysis. Any tips on how to do this? Thanks. -- View this message in context: http://www.nabble.com/Need-help-creating-spatial-correlation-for-MC-simulation-tp19542145p19542145.html Sent from the R help mailing list archive at Nabble.com.

Hi everyone. I am trying to add a formula to my data using the groupedData function. My experiment consists of randomized block design using fruits, vegetation and time as factors. The idea is to see if fruits, vegetation and time explain the abundance of mice. I am using tree density as a covariate. So I tried to fit the following structure to my data. >

Hi, while using package "segmented" (version 0.2-4) by Vita Muggeo to investigate a possible change point (around time = 222) in admissions for a specific medical condition I had the following error message: fit2.seg<-segmented(fit2, seg.Z=~time,psi=222) Error in segmented.lm(fit2, seg.Z = ~time, psi = 222) : (Some) estimated psi out of its range "fit2" is a simple

Dear R user, I am working with LOO. Can any one who is working with leave one out cross validation (LOO) could send me the code? Thanks in advance Alex [[alternative HTML version deleted]]

Hi! What is the difference between using data(somedataset) vs. attach(somedataset), please? thanks, Edna Bell

Hi I'm looking for solution or function which I can use to sample data frame, to obtain new (smaller) data frame similar to sample() function Jarek Jasiewicz

Instead of > m <- c(400000000, 50000000000) > paste("A", m, "B", sep="") [1] "A4e+08B" "A5e+10B" I want "A400000000" and "A50000000000"

Hi, I'm sorry if this is a simple question. How do you insert a blank row into a data frame? I basically need to do this: old table: new table: C1 C2 C3 C1 C2 C3 1 32 34 1 32 34 2 52 23 54 2 52 23

Hi, Is there a package that could do response surface analysis equivalent to SAS RSREG procedure? Thanks! Regards, Jinsong

I do have some data of dim 100*3 (i.e 100 rows and 3 columns ) stored in a txt file. I want to read the data into R, Perform the same operation in each row and store the result in a forth column( that I should create). I do not know how I can create a forth column to store the result of the operation for each row? -- View this message in context:

Hi,   how to remove levels that have less than a specific number such as 2. i.e..   > f<-as.factor(c("a","b","a")) > f [1] a b a Levels: a b I want to remove level b because level b has less than 2. > f [1] a a Levels: a   [[alternative HTML version deleted]]

Hi, As I can obtain, of a temporary series, if it has some point where a significant change of tendency takes place. Tank's Ramón Hidalgo [[alternative HTML version deleted]]

Here is an example barplot that needs some tweaking: library(gplots) ratios <- data.frame(c(0.05,0.10,0.9),c(0.06,0.15,0.76)) rownames(ratios) <- c("T1","T2","T3") colnames(ratios) <- c("A1","A2") ratios <- as.matrix(ratios) myplot <- barplot2(ratios, beside = TRUE,col = c("blue",

Hello R users, I have a montly time series over a several year period. It's easy to compute a monthly climatology (12 values), Now, I would like to calculate the corresponding standard deviation, ie the 12 values calculated from the january values, february values, etc. What's the best way for such a calculation ? Regards, Yogesh -- Yogesh K. Tiwari (Dr.rer.nat), Scientist, Indian

To anyone who can help me: I found that the function "smooth.ppp" in the package "spatstat" provides the kernel estimate for the intensity function of a "two-dimensional" point process with marks. Does anyone know that which package can do this for simply a "one- dimensional" point process with marks? I've been searching all over the R site but still

Dear all I have a code like x<-1:10 y1<-x+runif(10)*2 y2<-seq(0,50,length.out=10)+rnorm(10)*10 par(mfrow=c(1,2)) plot(y1~x) plot(y2~x) Now I would like to plot y1 and y2 on the same graph, with its two scales (y1 on left and y2 on rigth side). Any help are welcome. Kind regards Miltinho Brazil [[alternative HTML version deleted]]