similar to: plotrix and prettyR

Hi all, I'm noting the appearance of new versions of plotrix and prettyR as I found a bug in the "brkdn" function that messed up the order of "value.labels" if they had been imported from an SPSS data file. For anyone using "brkdn", please upgrade to the new version of prettyR (1.3-5) if you are importing SPSS data files. If anyone discovers other problems,

Can anyone please tell whether there is any R function to act as "VEC" and "VECH" operator on Matrix? Yes of course, I can write a user-defined-function for that or else, I can put dim(mat) <- NULL. However I am looking for some R function. Your help will be highly appreciated. Regards, -- View this message in context:

I am new to using R and would appreciate some advice on which books to start with to get up to speed on using R. My Background: 1-C# programmer. 2-Programmed directly using IMSL (Now Visual Numerics). 3- Used in past SPSS and Statistica. I put together a list but would like to pick the "best of" and avoid redundancy. Any suggestions on these books would be helpful (i.e. too much

Hi all, I have finally gotten the prettyR package going (many thanks to Kurt Hornik for his patience). prettyR is a set of functions that allows the user to produce HTML output from R scripts. Given an R script that runs properly, an HTML listing complete with embedded graphics can be produced simply by passing the script to the core function htmlize (Phillipe Grosjean has not only offered

Hi Everybody I need to create a lot of frequency tables with frequencies and percentages (and cumilative freq and % as well) for a report. freq() in prettyR give more or less what I need. I am trying to export the result of freq() to html but the html doesn't look look the console output. See the following example library(prettyR) library(Hmisc) x <- matrix(sample(1:3, 12,

I know, this is a forum about R. But I am so desperate of this problem (BTW, anyone knows any good Statistics/Math forum to post question like this?): A and B are both n x n positive definite matrix. Denote A > B, if A - B is positive definite. I know this is true: if A > B, then A^{-1} < B^{-1}. But how to prove this? I tried to diagonalize A and B, but since they can have different

Can anyone advise me on some pratical papers or books On Gaussian Copulas? Anything in the genre of Copulas Dummies Would be a help. As simpe, and approachable with minimal pedantic style. Thanks, Neil -------------------------------------------------------- This information is being sent at the recipient's reques...{{dropped:16}}

Hello everyone. I am new to R, so please bear with me. I am trying to find an easy way to export descriptive statistics and other information about my data frame to a LaTeX format. I have found the describe function in PrettyR to be very helpful in producing results in the exact format I'm looking for. However, the value of the describe function is a LIST (rather than a data frame) which I

Hi all, does anyone have any practical examples of how this command can be used in prettyR? add.value.labels(x,value.labels) I mean, can we have the SPSS style of using numbers and/or labels if we want to? Thank you for your time Jason Dr. Iasonas Lamprianou Assistant Professor (Educational Research and Evaluation) Department of Education Sciences European University-Cyprus P.O. Box 22006

Dear list, I have a problem with freq from prettyR. Please have a look at my syntax with a litte example: library(prettyR) #Version 1 test.df<-data.frame(q1=sample(1:4,8,TRUE), gender=sample(c("f","m"),8,TRUE)) test.df freq(test.df) #No error message #Version 2 test.df<-data.frame(gender=sample(c("f","m"),8,TRUE), q1=sample(1:4,8,TRUE)) test.df

Hello, I've been trying to use odfWeave and prettyR packages to create documents with both text and graphs, but so far I haven't been very lucky... With the function R2html () in prettyR package, when I try to use a source file, which works perfectly if I run it directly form R using "source("file")", it works for the first part and then it makes a mess, i guess

I am using the describe function in prettyR. I would like to add the 25% 75% quartiles to the summary table how do I do this I have tried describe(x.f, num.desc=c("mean", "median", "sd", "min", "max", "skewness", "quantile(x.f, na.rm=T, probs=seq(0.25, 0.75))", "valid.n")) help -- Let's not spend our time

Sender: r-help-bounces at r-project.org On-Behalf-Of: comtech.usa at gmail.com Subject: Re: [R] [R-SIG-Finance] forecasting earnings, sales and gross margin of a company... Message-Id: <b1f16d9d0810231239k506d582i7ecb908b84bc1642 at mail.gmail.com> Recipient: ngottlieb at marinercapital.com -------------------------------------------------------- This information is being sent at the

Hello, I want to add text annotation about correlation on "pairs" plots. I found that I could pass a function to the "panel" argument of pairs : panel.annot <- function(x, y, ...) { points(x, y, ...) c <- cor.test(x, y) legend("topleft", legend=substitute(rho == r, list(r=sprintf("%.2f", c$estimate))), bty="n") } And then :

I have done a cluster analysis doing: 1-clusNorth <-hclust(dist(Artorious)^2, method="ward") 2-clusNorth$labels <-Artorious$Name ## to show the case names and not numbers 3-dend1 <- as.dendrogram(clusNorth) 4-plot(dend1) My Dendrogram is now showing the names of my cases in the dataframe on the x axis 1 OMNICELL INC COM 2 GETTY IMAGES INC

This might not be the correct forum for this question for there might be some flaws in my logic so the R function I'm looking for might not be the correct, but I know there?s a lot of smart people in this forum so please correct me if I'm wrong. I have been googling and searching in this forum for something useful but so far I'm out of luck. This is the background to my problem. I

I need to write a C# program to create and display Cusum chart from any of the packages, spc, qcc or strucchange. Issues: 1-The data resides in a MS SQL Database. The C# program will handle obtaining the data for the requisite types of samples. Assistance needed on: 1-How can I call the cusum capabilities of any of the above packages and pass the data to the cusum function and plot? 2-How

Dear fellow R Users: I am doing a Cholesky decomposition on a correlation matrix and get error message the matrix is not semi-definite. Does anyone know: 1- a work around to this issue? 2- Is there any approach to try and figure out what vector might be co-linear with another in thr Matrix? 3- any way to perturb the data to work around this? Thanks for any suggestions.

I am trying to learn how to format Ascii data files for scan or read into R. Precisely for a quickie project, I found some code (at end of this email) to do exactly what I need: To cluster and graph a dendrogram from package (stats). I am stuck on how to format a text file to run the script. I looked at the dataset USArrests (which would be replaced by my data and labels) using UltraEdit. That

#is there a way to get NA in the table of descriptive statistics instead of the function stopping Thank you in advance #data x.f <- structure(list(Site = structure(c(9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L), .Label = c("BC", "HC", "RM119", "RM148", "RM179", "RM185",