similar to: For help

Dear list, Working the example in Stats complements to V&R 3rd ed., I found this : > library(MASS) > library(mva) > data(farms) > plot(mca(farms,abbrev=TRUE),cex=rep(0.7,2)) # ... Works OK # Sheer curiosity ... > plot(mca(farms,abbrev=TRUE,nf=4),cex=rep(0.7,2)) Error in rep(p * X.svd$d[sec], c(n, n)) : invalid number of copies in "rep" A bit of exploration in the

Hi All, Thanks for you help, I have loaded the library MASS to call the mca. But when I want to do the mca, there is another problem, for example -------- -------- > leaf <- read.table("C:/Documents and Settings/wxh-c/×ÀÃæ/1.txt", + col.names=c("size","texture"),header=TRUE) > leaf size texture 1 3 3 2 2 2 3 3 2 4 3

Dear all, I tried out the example in the help document for mca (the multiple correspondence analysis of the MASS package): farms.mca <- mca(farms, abbrev=TRUE) farms.mca plot(farms.mca) But the graphic that I get seems unfeasible to me: I cannot recognize the numbers (printed in black) because they are all overlapping and concealing each other. I don ?t dare using my own data, which

Enio Jelihovschi" eniojelihovs@gmail.com Date: Fri, 20 Oct 2006 11:28:12 -0200 Subject: CORRESPONCE ANALYSIS Dear All I am new R user, trying to do correspondence analysis using the function mca of the package MASS. My question is: In the following example farms.mca <- mca(farms, abbrev = T) # Use levels as names plot(farms.mca, cex = rep(0.7, 2), axes = F) How can I change the

Hi I'd like to know if the R can do the DCCA? Because I can't find the package about the DCCA in R. If it can not, please introduce a free software to me, which you think can easily do the work , thanks! jeff

Greetings. I'm about to embark on my first big (to me at least!) R project, which will be to write a function to plot three-dimensional multiple correspondence analysis (mca) plots in a manner similar to scatterplot3d(). (plot.mca() plots only two dimensions, even though mca() will calculate more.) Before I do so, however, I would love to know that I'm not reinventing the wheel or any

Dear All, I want to 'impose' supplementary points to an mca plot -- using V&R MASS library -- and I wonder if anyone had any luck. The book (4th edition) says it can be done using predict.mca but there are no examples provided in the help pages. Would appreciate any help/pointers. Thanks Marwan btw, to Professor Ripley -- the abbrev=TRUE option for labels does not seem to work.

Hi all, I'm trying to do model reduction for logistic regression. I have 13 predictor (4 continuous variables and 9 binary variables). Using subject matter knowledge, I selected 4 important variables. Regarding the rest 9 variables, I tried to perform data reduction by principal component analysis (PCA). However, 8 of 9 variables were binary and only one continuous. I transformed the data by

Hi, I would like to extract x,y from mjca function in ca package to be able to draw other graph types. For example for simple mca function from MASS I can do the following: ------------- anydata.mca <- mca(anydata, nf = 2, abbrev = TRUE) x <- anydata.mca$rs[,1] #that is what I can 'extract' y <- anydata.mca$rs[,2] plot(anydata.mca) #standard plot library(lattice)

Hi, I would like to extract x,y from mjca function in ca package to be able to draw other graph types. For example for simple mca function from MASS I can do the following: ------------- mydata.mca <- mca(anydata, nf = 2, abbrev = TRUE) x <- anydata.mca$rs[,1] #that is what I can 'extract' y <- anydata.mca$rs[,2] plot(anydata.mca) #standard plot library(lattice)

Estimados No me resultó, describo paso a paso y adjunto base de datos str((df[,1:2]))# evaluo el tipo de variable salida data.frame': 101 obs. of 2 variables: $ alergia1 : chr "no" "no" "si" "si" ... $ parasitismo1: chr "si" "si" "si" "si" ... #esto es lo que quiero hacer library(MASS) farms.mca <-

Greetings, again. This is not strictly an R question, so please feel free to ignore it if you like. My question is about the substance of correspondence analysis. Specifically, is it appropriate to use ca on a matrix of values such that the columns and/or rows are not mutually exclusive? To be more detailed: - The standard use of ca is illustrated in the example of corresp() (from MASS):

Hi everyone, I'm trying to get debug information for a C/pthreads application, but it seems like clang/LLVM are producing limited & erroneous debugging information. I've attached a simple test example to reproduce the problem -- I'm using clang/LLVM 3.7.1 built from source on Ubuntu 14.04. I compile the attached file with: $ clang -O1 -g test.c -lpthread If I run: $ readelf

On Sat, Aug 15, 2020 at 8:39 PM Martin Storsjö <martin at martin.st> wrote: > Hi, > > > On Sat, 15 Aug 2020, Ivan Serdyuk wrote: > > > Just as Shoaib said, libunwind only is useful in environments > > that use > > the Itanium C++ ABI - there's really no use for it in an MSVC > > context > > (either using MSVC or

bonjour, Je voudrais faire une analyse des correspondances multiples avec R. avec les repr?sentation graphiques correspondantes avec R. je ne sais pas comment proc?der .. en vour remerciant par avance Faouzi

Sorry, this is the attachment. 2014-02-19 15:08 GMT+08:00 杨勇勇 <triple.yang at gmail.com>: > Thank you. > > Here is an example and the attchment contains extra files including object > file and executable file. > I want to print for example the value of "a", but lldb command "frame > variable a" displays "0" and so does "b", and

This patch adds EmitTypeAuxAttribute() function to CGDebugInfo, which allows other parts of clang issue auxiliary information through an enumeration type in Dwarf information. For example, by calling DI->EmitTypeAuxAttribute(type, "ID", 1234); We can get following information in dwarf: <1><3f>: Abbrev Number: 3 (DW_TAG_structure_type) <40> DW_AT_name

Hello, I'm an absolute beginner with R and neophite in data analysis, so please bear with me if I ask stupid question. I'm trying to do a correspondence analysis using R and MASS corresp function, but I get an error message which I'm unable to interpret: > data(weblog) > library(MASS) > corresp(~ url + fromurl, data=weblog) Error in svd(t(t(x1 * Dr) * Dc)) : error 306 in

Sounds like a very useful tool.  Thank you for contributing. Taking a step back and looking at the big picture, combining this with the recently contributed llvm-mca dramatically improves our scheduling and performance analysis story.  Being able to take a snippet of code on a particular machine, measure latency/throughput/ports for each instruction (this tool), and then analyze the entire

Hi Karthik, > Expected result when we run - > > print Simple::fun in GDB is > void fun(Simple* const this) > > as this should be a const pointer but in case of arm compiled binary we get > void fun(Simple* this). I believe the actual type is coming from CXXMethodDecl::getThisType, which quotes the standard as saying: // C++ 9.3.2p1: The type of this in a member function