similar to: Can I compare two clusters without using their distance-matrix (dist()) ?

Hi, Suppose I want to compare the results of two clustering methods, what is the best way to do it? Thanks Regards, -k

I run the following code: library(rpart) data(kyphosis) fit <- rpart(Kyphosis ~ ., data=kyphosis) plot(fit) text(fit, use.n=TRUE) The text labels represent the count of each class at the leaf node. Unfortunately, the numbers are rounded and in scientific notation rather than the exact number of examples sorted by that node in each class. The plot is supposed to look like

Hello dear R help list, I wish to compile a check-list for diagnostic measures for OLS regression. My question: Can you offer more (or newer) tests/measures for the validity of a linear model then what is given here: http://www.statmethods.net/stats/rdiagnostics.html This resource gives a list of measures to test for: OUTLIERS, INFLUENTIAL OBSERVATIONS, NON-NORMALITY, NON-CONSTANT ERROR

Dear All, In a package, I want to use PCA function. The structure I used follow this page: http://www.statmethods.net/advstats/factor.html. fit<-principle(mydata, nfactors=9, rotation=TRUE) or: result<-PCA(mydata) But I don't known why R language in my computer noticed: "not found principle", "not found PCA". I download and installed

Hi, I am trying to do a Principal component analysis on histogram data. Basically, I have a group of subjects and for each of them, I have a column of bin-counts (vis-a-vis intervals) and a corresponding column of frequencies (or normalized frequencies). The bin counts are the same for all the subjects. I also have a group-averaged histogram (with the same bin counts and a column of frequencies)

Hi R, I was using 'as.dendrogram' with the DIST coefficient, where the smaller values of the DIST coefficient, say that the objects are closer to each other, while the larger values of the coefficient say that the objects are far from each other. But now, I have my coefficient as the DICE coefficient(in some sense similar to correlation coefficient), where the larger coefficient

Hi, I have seen that R has a implementation of decision trees; however, after I have the tree with the classification: R Quinlan's trivial example of the "golf" decision tree. Outlook Temperature Humidity Windy PlayDontPlay 1 sunny 85 85 false DontPlay 2 sunny 80 90 true DontPlay 3 overcast 83 78 false Play 4 rain 70 96 false Play ... What's next? I mean, what is this

I ran this code (several times) from the Quick-R web page ( http://www.statmethods.net/advstats/cart.html) but my cross-validation errors increase instead of decrease (same thing happens with an unrelated data set). Why does this happen? Am I doing something wrong? # Classification Tree with rpart library(rpart) # grow tree fit <- rpart(Kyphosis ~ Age + Number + Start,

I am interested in applying a "classification tree" analysis where the response variable is a censored variable (survival data). I've discovered the package 'party' through this page: http://www.statmethods.net/advstats/cart.html. However, as my sample is not very big I would like to apply 'bootstrap' and use 'random forests', but with my censored response

I am trying to create a classification tree using either tree or rpart functions but when it comes to plotting the results the formatting I get is different than what I see in all the tutorials (like http://www.youtube.com/watch?v=9XNhqO1bu0A or http://www.youtube.com/watch?v=m3mLNpeke0I&feature=related or http://www.statmethods.net/advstats/cart.html "tree for kyphosis"). I am

Hello dear R help group, I would like to download the tRNA data on: http://gtrnadb.ucsc.edu/download.html And then import it into R. Can anyone direct me as to how to do so? Thanks, Tal ---------------------------------------------- My contact information: Tal Galili E-mail: Tal.Galili@gmail.com Phone number: 972-52-7275845 FaceBook: Tal Galili My Blogs: http://www.talgalili.com (Web and

Hello all, I believe this can be done using bootstrap, but I am wondering if there is some other way that might be used to tackle this. #Let's say I have two pairs of samples: set.seed(100) s1 <- rnorm(100) s2 <- s1 + rnorm(100) x1 <- s1[1:99] y1 <- s2[1:99] x2 <- x1 y2 <- s2[2:100] #And both yield the following two correlations: cor(x1,y1) # 0.7568969 (cor1) cor(x2,y2)

Hello all, # I am trying to read the text in this URL: u <- http://google.com/complete/search?output=toolbar&q=%d7%a9%d7%9c%d7%95%d7%9d # By using this command: readLines(u) And no matter what variation I tried, I keep getting this output: [1] "<?xml version=\"1.0\"?><toplevel><CompleteSuggestion><suggestion

After reading more, I understand I didn't formulate my last question correctly, so please allow me to rephrase: What I am looking for is a way to save the R console session output. That is, a command that would combine the results of using: ?sink # And ?savehistory My motivation for this is that doing it will allow someone who is a blind user of R to be able to easily export his results to

My question if in the Subject, but if to extend: I am specifically curious about WordPress blogs. But any solution will give me a lead. Thanks, Tal ---------------------------------------------- Contact me: Tal.Galili@gmail.com | 972-52-7275845 Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) | www.r-statistics.com/ (English) [[alternative HTML version deleted]]

Hello dear R-help mailing list. I wish to be able to have htmlParse work well with Hebrew, but it keeps to scramble the Hebrew text in pages I feed into it. For example: # why can't I parse the Hebrew correctly? library(RCurl) library(XML) u = "http://humus101.com/?p=2737" a = getURL(u) a # Here - the hebrew is fine. a2 <- htmlParse(a) a2 # Here it is a mess... None of

Hello dear R help group, I am trying to read a .txt file, with Hebrew column names, while keeping the column names looking well in R - but without success. I uploaded an example file to: http://www.talgalili.com/files/aa.txt And am trying the command: read.table("http://www.talgalili.com/files/aa.txt", header = T, sep = "\t") This returns me with: X.....ª X...ª......

Hello all, I would like some R function that can translate a string to a "URL encoding" (see here: http://www.w3schools.com/tags/ref_urlencode.asp) Is it implemented? (I wasn't able to find any reference to it) Thanks, Tal ----------------Contact Details:------------------------------------------------------- Contact me: Tal.Galili@gmail.com | 972-52-7275845 Read me:

Hello all, I am using R 2.13.0 with windows 7, after giving my user full privileges to the R folder (as described here<http://www.r-statistics.com/2011/04/how-to-upgrade-r-on-windows-7/> ). This allows me to install new packages just fine. However, when using update.packages(), to update existing packages, I keep getting the following error (for example, when updating the MASS package):

Hello dear R-help group. I wish to plot a scatter plot using icons (or images) instead of points. Is it possible? and how so? Thanks, Tal ---------------------------------------------- My contact information: Tal Galili E-mail: Tal.Galili@gmail.com Phone number: 972-52-7275845 FaceBook: Tal Galili My Blogs: http://www.talgalili.com (Web and general, Hebrew) http://www.biostatistics.co.il