similar to: Is it feasible with R?

Hi everyone, I'm sorry if this turns out to be more a statistical question than one specifically about R - but would greatly appreciate your advice anyway. I've been using a logistic regression model to look at the relationship between a binary outcome (say, the odds of picking n white balls from a bag containing m balls in total) and a variety of other binary parameters:

Hi, I have newbie question. Suppose I have the following data: temp <- data.frame(type1 = c("male", "female", "male", "female", "female"), type2 = c("low", "med", "high", "low", "med"), a = c(1,2,4, NA, 3), b = .... [TRUNCATED] temp type1 type2 a b c 1 male low 1 5 0 2 female

Dear R help list, I have a training dataset that looks like Table1. I have an unknown dataset that looks like Table2. I want to have a program that should search the training dataset and identify that the unknown sample belongs to which category (type1, type2 or type3) and also if the unknown does not belong to any of the categories, it should let me know. The real dataset has 600 variables and

Dear R help list, I have a training dataset that looks like Table1. I have an unknown dataset that looks like Table2. I want to have a program that should search the training dataset and identify that the unknown sample belongs to which category (type1, type2 or type3) and also if the unknown does not belong to any of the categories, it should let me know. The real dataset has 600 variables and

Hi All, I'm working on a back end for an architecture that makes use of multi- typed register classes. def MR: RegisterClass<"namespace", [type1, type2, ... ], ... > When running some preliminary tests I found that the instruction selector refused to select certain ops (specifically stores) for some instructions when the operand type wasn't the first type for the

The parts of klibc specific to the x86_64 architecture. Signed-off-by: H. Peter Anvin <hpa at zytor.com> --- commit f889dd04bef1aed36ba18161c727af47338e167a tree c25f184d2e3337b52dfe3abd191ec639d4d9543d parent f30fa3db62972125afa68d3b53d03cdb843d3bbd author H. Peter Anvin <hpa at zytor.com> Sun, 25 Jun 2006 16:58:53 -0700 committer H. Peter Anvin <hpa at zytor.com> Sun, 25 Jun

Dear R-Helpers, I want to compare the results of outputs from glmmPQL and lmer analyses. I could do this if I could extract the coefficients and standard errors from the summaries of the lmer models. This is easy to do for the glmmPQL summaries, using > glmm.fit <- try(glmmPQL(score ~ x*type, random = ~ 1 | subject, data = df, family = binomial), TRUE) > summary(glmmPQL.fit)$tTable

I am having difficulty understanding the syntax of the nlme() function for nonlinear mixed models. The data frame is called Marouane.chlorophyll. The model involves a dependent variable (Absorb) and an independent variable (Ch.surf), which are both numeric variables in the data frame. The data are hierarchically grouped as Espece, Plante nested within Espece, and Feuille nested within Plante

Hi, sorry by this off. I'm still try to understand nested design. I have the follow example (fiction): I have 12 plots in 4 sizes in 3 replicates (4*3 = 12) In each plot I put 2 species (A and B) to reproduce. After a period I make samples in each board and count the number of individuals total (tot) and individuals A and B (nsp). Others individuals excepts A and B are in total of

So in fact : I have a data wich colnames are : "id","VEMS5A","VEMS6A","VEMS7A","VEMS8A","VEMS9A","VEMS10A","VEMS11A","VEMS12A","VEMS13A","VEMS14A","VEMS15A","VEMS16A","VEMS17A","VEMS18A","cohort") With "VEMS5A" is the value when

On Feb 12, 2007, at 1:41 AM, Christopher Lamb wrote: > > selector refused to select certain ops (specifically stores) for some > instructions when the operand type wasn't the first type for the > register class. After some digging around I seem to have solved the > problem by creating bitconvert patterns between the types in the > register class like the following: > >

Hello everyone, I'm having a problem performing reshape() on a large data frame. The operation is fairly trivial but it makes R run out of memory. The data frame has the following structure: ID DATE1 DATE2 VALTYPE VALUE 'abcd1233' 2009-11-12 2009-12-23 'TYPE1' 123.45 ... VALTYPE is a string and is a factor with

Hello, I'm trying to analyse data from an incomplete design with four factor : - fr : number of the batch - op : ID of operator - meth : method used - mat : nature of the material used and one variable - mv : mesure - trmv : transformed mesure str(matvol) `data.frame': 120 obs. of 6 variables: $ fr : Factor w/ 30 levels "1","2","3","4",..:

The parts of klibc specific to the ia64 architecture. Signed-off-by: H. Peter Anvin <hpa at zytor.com> --- commit 951dc85bd690c6cc5a971815665da947160cbe51 tree 0843c8aa67a3c46a362d12c392c41c25d85ac9cd parent bd0599e5290ca1a16bb7a68f7c362d395c612eb3 author H. Peter Anvin <hpa at zytor.com> Sun, 25 Jun 2006 16:58:24 -0700 committer H. Peter Anvin <hpa at zytor.com> Sun, 25 Jun

Excuse me. I don't understant how to use the function "stack". I'm not sure to know the good syntax. I've got a data witch column names are the time when the mesures was done and an other who indicates the age of the subjetcs. I would like to do a new matrix with patients older than a value and the new matrix will contain in the first column the time of the mesures and in

Hi LLVM list, Thanks for having me here. I'm writing my own debugger for my (secret) language... I don't know anything about LLVM beyond the general "big picture"... I haven't any real practical experience working with it... beyond just using XCode... So... really the problem is... I'm generating some functions... by "compiling to C"... so my compiler just

Full_Name: Alexander L. Belikoff Version: 2.8.1 OS: Ubuntu 9.04 (x86_64) Submission from: (NULL) (67.244.71.200) I'm trying to reshape the following data frame: ID DATE1 DATE2 VALUE_TYPE VALUE 'abcd1233' 2009-11-12 2009-12-23 'TYPE1' 123.45 ... VALUE_TYPE is a string and is a factor with only 2 values

Hi: We are currently building an internal solution based on LLVM/Clang technologies which involves generating LLVM IR based on Bitcode generated by Clang from C codes. We have a C function which prototype looks like the following: typedef struct { int (*allocFunction)(void* x, void* y); void* YY; } Type4; int bar (Type1 *x, Type2 *y, Type3 *z, Type4 bar) When we compile this code

Hello All, I have a data frame (dput information below) with food item weight for fish species. I need to calculate the Mean proportion by weight of each food item for each specie, as show in solution data frame (dput information below). I use the ddply function (plyr package) in two steps. First calculate the proportion of weight for each individual: step1 = ddply (example, .(ID), transform,

Hi, I wrote yesterday ( http://wrath.rubyonrails.org/pipermail/rails-spinoffs/2005-November/001307.h tml ), but with no replies. This mail is not to spam, just a further clarification of the problem: This little bit of code illustrates the problem: <script language="javascript"> function ac(elm) { var val = $F(''val''); new