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I am writing a report using Sweave with specific R output incorporated into the text using the Sexpr{} command. I have run into two specific issues: 1) If the result inside the Sexpr{} command is an integer less than 10 I would like to print the ?word? for that number ? e.g., ?seven? for 7. 2) If a p-value is ?equal to zero? to some arbitrary number of decimal places -- e.g.,

I am attempting to create a plot with intervals "stretched" in the x-direction using plotCI() in the plotrix package. The same data provides an appropriate set of intervals when "stretched" in the y-direction but I only get a lower interval when "stretched" in the x-direction. The data are as follows mns <-

...about this correctly or has the editor made a valid request? I would be interested in any comments or opinions. Dr. Derek H. Ogle Associate Professor of Mathematical Sciences and Natural Resources Northland College 1411 Ellis Avenue Box 112 Ashland, WI 715.682.1300 www.ncfaculty.net/dogle/ [[alternative HTML version deleted]]

I am trying to compare Vbert growth curves from several years of fish data. I am following the code provided by: http://www.ncfaculty.net/dogle/fishR/gnrlex/VonBertalanffy/VonBertalanffy.pdf. Specifically the section on VBGM Comparisons between groups. ? This code is pretty cut and dry. I am able to run it perfectly with the "fake" data that is provided. But when I run it with my own data I get stuck with this line: fitGen <...

I have a list that looks like this ... > have <- list(a=7,b=3,c=1) > have $a [1] 7 $b [1] 3 $c [1] 1 and I want to have a simple way to change it to the following without re-typing the values ... > desire <- list(a=c(7,7),b=c(3,3),c=c(1,1)) > desire $a [1] 7 7 $b [1] 3 3 $c [1] 1 1 In other words, I need to create the list in desire from the list in have. In my

I am trying to define a general R function that has a function as the output that depends on the user's input arguments (this may make more sense by looking at the toy example below). My real use for this type of code is to allow a user to choose from many parameterizations of the same general model. My "issue" is that when I compile a package with this type of code in it I get a

I am trying to construct a two-way table where, instead of printing the two-way frequencies in the table, I would like to print the values of a third variable that correspond to the frequencies. For example, the following is easily constructed in R > fact1 <- factor(sample(LETTERS[1:3],10,replace=TRUE)) > fact2 <- factor(sample(LETTERS[25:26],10,replace=TRUE)) > fact3

I apologize if this comes across as confusing. I will try to explain my situation as best I can. I have R bootstrapping my growth data for fish. It's resampling my database of age and length data and then produces several new datasets for me. In this case, it's resampling my data to create three new datasets of age and length data. Here is my code with my original data called

Sorry for posting this twice, but I still have not solved this problem and am hoping for some assistance. I am attempting to write a function that is flexible enough to respond to the user providing a formula (with a data= argument) or not (similar to plot(x,y) versus plot(y~x,data=data)). I have found a method to work with this in a simple case but am having trouble determining how to

I have found Sweave() to be great for producing PDF documents. I have been experimenting with RweaveHTML (from the R2HTML) package and have had moderate success. My main issue has been that I simply want the R output to be shown verbatim in the HTML document but RweaveHTML tends to convert most output to a table, for example. So, is there a way to force the RweaveHTML driver to simply provide

I am investigating some approaches to reproducible research. I need in the end to produce .html or .doc or .docx. I have used hwriter in the past but have had some problems with verbatim output from R. Tables are also not particularly convenient. I am interested in R2HTML and R2wd in particular, and possibly odfWeave. Does anyone have sample documents using any of these approaches which

R Community, I've put together a website that I thought this mailing list might be interested in: http://www.r-cookbook.com It's a (free) community-driven content management system for R "recipes", or working examples. Some of the features of the site are code highlighting, recipe ratings, recipe comments, personal "recipe boxes" to save your favorite

I am trying to use optim() to minimize a sum-of-squared deviations function based upon four parameters. The basic function is defined as ... SPsse <- function(par,B,CPE,SSE.only=TRUE) { n <- length(B) # get number of years of data B0 <- par["B0"] # isolate B0 parameter K <- par["K"]

I am interested in testing two similar nls models to determine if the lines are statistically different when fitted with two different data sets; one corn, another soybean. I know I can do this in linear models by testing for interactions. See Introductory Statistics with R by Dallgaard p212-218 for an example. I have two different data sets I am comparing to lai. ci.re should have very

For pedagogical reasons (i.e., moving a way from tables of distributions) I want to plot a probability density or distribution function with a shaded area corresponding to the calculated value or user input. For example, I want a plot to visually demonstrate the result of pnorm(1.3) I have seen the interactive examples in TeachingDemos and rPanel but am interested in using the function from

I am looking into fitting a so-called double von Bertalanffy function to fish length-at-age data. Attempting to simplify the situation, the model looks like this ... Y ~ f(X; a,b,c) if x < Z Y ~ g(X; a,d,e) if x >= Z where * f and g are non-linear functions (the "traditional" "single" von Bertalanffy growth function), * Y (length) and X (age) are observed variables,

Is there a function similar to pkgDepends() that returns the packages that a particular package imports or imports from? I believe I can get this information from the matrix returned from installed.packages() but something like pkgDepends() would be more convenient. I did not find anything useful in my search of the R-help archives (my search string may have been poorly chosen), my use of

Hello, I am attempting to fit a non-linear model (Von Bertalanffy growth model) to fish length-at-age data with the purpose of determining if any of the three parameters differ between male and female fish. I believe that I can successfully accomplish this goal assuming an additive error structure (illustrated in section 1 below). My trouble begins when I attempt this analysis using a model