similar to: Big data and column correspondence problem

I'm new to R and i'm having some trouble with a bubble chart. Basically I have 3 series (a,b,c), but the third one is a binnary variable (assumes only 0 or 1 to the entire data). How can I use these binnary information to make 2 different colours in a bubble chart?. I.e., I'm using this code: symbols(inv$a, inv$b, circles=radius, inches=0.35, fg="white", bg="red",

http://www.cuddyvalley.org/psychoR/code now contains version 1.4 of ca.R There are already many versions of CA and CCA in various R packages, but this one has some unique features, so maybe it is useful. The function ca() can do simple CA, but it also allows for linear restrictions on the row and column scores (they can be restricted to be in the span of a number of covariates). Thus the

Hi, I hope someone knows the answer to this or has a real good reference about it (I am using Legendre & Legendre, Numerical Ecology, 1998).... My data is a data.frame with locations as rows and vegetation assemblages / species as columns. I've done a PCA, a correspondance analysis (CA) using ca in ca package and a detrended correspondance analysis (DCA) using decorana from vegan package.

Hi everybody, I am starting my friendship with R. Now I want to do a Correspondence Analysis using the vegan library or multiv library. Both give me the same results which differ from the ones I get running other programs like Statistica... I wounder if there is a problem with my matrix. I have cualitataive variable in the columns and sampling units in the rows... I import my matrix into R

Hello, I'm trying to do some correspondence analyis, with R, of course (by correspondence analysis, I'm refering to JP Benz?cri's methods, in case there might be some other thing with a similar name) I've found a couple of tools refering to C.A in the existing packages : ca() in package multiv and corresp()/mca() in MASS. MASS tools look more easy to use (it is supposed to put

Is there a way to get the coordinates from a plot of an MCA object? [[alternative HTML version deleted]]

Hi to all, how can I perform a multiple correspondence analysys with a block contingence matrix? What's the proper package that must I load into R? Andrea Rossetti. PS Excuse me if my question is stupid and for my bad english!!! -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send

Hi, I have modified fenice(streaming server) and mplayer(media client) code to support for ogg container(vorbis+theora). Now I have to implement forward and rewind of an ogg(vorbis+theora)file by time. So I would like to do file seek to start reading the file from that position. Eg:- mplayer will send +10 secs to forward request to fenice through RTSP and fenice should read and send packets from

Hi, I have modified fenice(streaming server) and mplayer(media client) code to support for ogg container(vorbis+theora). Now I have to implement forward and rewind of an ogg(vorbis+theora)file by time. So I would like to do file seek to start reading the file from that position. Eg:- mplayer will send +10 secs to forward request to fenice through RTSP and fenice should read and send packets from

I think i mentioned this in private communication a while back, but in case anyone else cares: I have a version of canonical correspondence analysis (CCA) coded up in R. I based it on Ter Braak and Prentice (1988) Adv. Ecol. Res. 18:271-317, Ter Braak (1986) Ecol. 67(5):1167-1179, and Ter Braak (1995) Section 5.9 in Jongman, Ter Braak, and van Tongeren "Data Analysis in

Hello everybody, i'm having some trouble performing correspondence analysis with R for Mac OS X. Does anyone know about some useful package? And also, if i had found coordinates of points representing row and column profiles, how do i put them in a single figure with labels identifying each one of them? This thing is getting me almost crazy... Thank you in advance for answering, bye

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

Hello, I am looking for a workaround of "species empty" plots in a correspondence analysis. I tried to do a community structure analysis with a ca via decorana(), ca() and CAIV(), but none of them allow 0 only-rows. I have species (abs./pres) in columns and sites in rows sp1 sp1 sp3 ... plot1 0 1 1 plot2 0 0 0 plot3 1 0 1 ..... but on some plots no

Hello, I am new to R and I have a question about the difference between correspondence analysis in R and SPSS. This is the input table I am working with (4 products and 18 attributes): > mytable 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 1 15 11 20 4 14 7 1 2 1 4 12 12 17 19 11 20 9 10 2 19 18 14 14 16 4 14 11 11 15 22 19 22 16 21 19 15 16 3 16 13 10 9 15 4 10 7 11 13 18

Andy, Take a look at Greenacre, Theory and Applications of Correspondence Analysis. He has many example of dealing with all sorts of data. Basically, the technique is relevant for 2-way tables -- MCA is an extenstion. It is not clear in your example whether CA is really appropriate -- you want to make an observation (if at all possible) fall in one cell, treating the others layers as

Hi R-users, I am new to R environment.I want to carry out a correspondence analysis on a contigency table with 64 columns and 298 observation of Environmental data.In many cells of the contigency table the frequency is just the value '1'. I got the following error. > CAIV(Eplankton) Error in if (L[i, j] < 0) return("Table L must contain non-negative numbers") :

Hello, Using the Correspondence Analysis package (ca), I wonder if there is a way to further customize the plot beyond the options given in plot.ca provided by the mentioned package. The correspondence analysis I am doing consists of two datasets sharing only the rows, so the plot draw the total of columns (from both datasets) in the graph and the rows as expected. However, as in my case the

Hi R, I was experimenting with the CA package for correspondence analysis. data(author) ca(author) plot(ca(author)) How can I get the values used by the plot for the two axis for biplot? In other words, how will I be able to obtain the scores in the dimensions (which are obtained by PCA) of the graphs? Thanks. Thanks and Regards, Shubha This e-mail may contain

R-ecologists: Anyone wanting to create a Krebs package for R can do so using the C-source code avalaible at: ftp://gause.biology.ualberta.ca/pub/jbrzusto/krebs/source.zip Barry J. Cooke Current mailing address: Ph.D. Candidate 3971 NW 23 Circle Environmental Biology and Ecology Gainesville, Florida, USA Department of Biological Sciences 32605

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