similar to: mca-graphics: all elements overlapping in the help-example for multiple correspondence analysis

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

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

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 list: I have tried MASS's mca function and SAS's PROC corresp on the farms data (included in MASS, also used as mca's example), the results are different: R: mca(farms)$rs: 1 2 1 0.059296637 0.0455871427 2 0.043077902 -0.0354728795 3 0.059834286 0.0730485572 4 0.059834286 0.0730485572 5 0.012900181 -0.0503121890 6

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 <-

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.

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

Hi During using the R(vision 2.0.1), I meet a problem. I would like to do the Multiple Correspondence Analysis, but when I use the "< mca(lf, nf = 2, abbrev = FALSE)", the sentence "Error: couldn't find function 'mca'" will appear. So, please tell me how can I use the "mca()", thanks! Any help appreciated....

You should send this to r-help@stat.math.ethz.ch. On 03/09/2012 09:21 AM, Andrea Sica wrote: > Hello everybody, I'm looking for someone who is able with MCA and > would like to gives some help. > > If what I'm doing is not wrong, according to the purpose I have, I > need to understand how to create a dependence matrix, where I can > analyze the > dependence between

(on the correct mailing list) Hi all, tl;dr: We'd like to propose moving tools/llvm-mca/lib into lib/MCA and create a new MCA library in LLVM. llvm-mca has recently been split <https://bugs.llvm.org/show_bug.cgi?id=37696> into its core part and the tool part. - The core part simulates the execution of a basic block of machine instructions as modeled by the llvm SchedModel.

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 All, I would like to use llvm-mca to estimate the IPC of a given code region. I am interested in the library version (https://reviews.llvm.org/D50929?id=162210 <https://reviews.llvm.org/D50929?id=162210>) but I have troubles understanding how to use it. Could you please point me to some documentations or (better) some code examples if any? Reading the documentation

Introduction ----------------- Currently llvm-mca only accepts assembly code as input. We would like to extend llvm-mca to support object files, allowing users to analyze the performance of binaries. The proposed changes (which involve both clang and llvm) optionally introduce an object file section, but this can be stripped-out if desired. For the llvm-mca binary support feature to be useful, a

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

Hi Lorenzo, I’ll answer the first question you have: > I would like to use llvm-mca to estimate the IPC of a given code region. I am interested in the library version

Hi Andrea, Thanks for your input. On Wed, Nov 21, 2018 at 12:43:52PM +0000, Andrea Di Biagio wrote: [... snip ...] > About the suggested design: > I like the idea of being able to identify code regions using a numeric > identifier. > However, what happens if a code region spans through multiple basic blocks? The current patch does not take into consideration cases where the region

Hi,all: I want to perform multiple correspondance analysis via MCA{FactoMineR}. The data is in the attachment. My code: dat<-read.delim("e:\\mydata.txt",header=T) MCA(dat,quanti.sup=7,quali.sup=1:6) Error in `[.data.frame`(tab, , i) : undefined columns selected My question: Why does the error happen? Many thanks. Best. -------------- next part -------------- An embedded and

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):

Andrea, thanks for the advice. On Jan 2, 2020, at 8:09 AM, Andrea Di Biagio <andrea.dibiagio at gmail.com<mailto:andrea.dibiagio at gmail.com>> wrote: Hi Lewis, Basically - if I understand correctly - you want to design a pass that uses llvm-mca as a library to compute throughput indicators for your outlined functions. You would then use those indicators to classify outlined

Thanks for clarifying it Matt. In general, I quite like your suggested design. My only concern is about the semantic of the two new intrinsics. You design doesn't allow mca ranges to span through multiple basic blocks. That constraint is acceptable for now, since llvm-mca doesn't know how to deal with control flow. However, I am a bit concerned about what might happen in future if we