similar to: Reshaping and plotting tabular data

Hi! All.. I released version 0.2 of the wine's faces. These are the most important changes: - Automatic search version of wine if not have a default - Several improvements in window creation of menu items for environment, for. exe does not have. lnk, i.e. winemenubuilder not generate menu item for this .exe. - Inclusion of dependence on stable wine distribution (Kubuntu and *ubuntu) for

Dear all, I am unable to understand how Hline() works in tabular(). I've read the vignette and the help page, and here this example compiles perfectly fine: latex( tabular( Species + Hline() + 1 ~ Heading()*mean*All(iris), data=iris) ) However, if I try it on my own data it fails. Consider this: set.seed(1) Xa <- data.frame(p=rep(c("First group","Second

I have added a preliminary version of a tabular environment to Rdconv and committed it to the current development sources. Syntax: \tabular{format}{ aaa \tab bbb \tab ccc \cr xxx \tab yyy \tab zzz } i.e., the column seperator is \tab and the line seperator is \cr format is a usual LaTeX tabular format string, e.g in the above example it could be `lll' giving three left justified

I have found that I like having my captions and labels in my latex document rather than having them contained in my xtable output file (I haven't fully gone to sweave yet). I know I can do something like this by using the 'only.contents' argument in xtable. Unfortunately, the only.contents argument also removes the \begin{tabular}{rrrrrr} & \end{tabular} (in the example below) of

Dear R-gurus: I have a question about lmer. Basically, I have a dataset, in which each observation records number of trials (N) and number of events (Y) given a covariate combination(X) and group id (grp_id). So, my dataset is in tabular form. (in case my explanation of tabular form is unclear, please see the link:

Hi, I agree that replacing data.frames for modeling functions would be too painful. Also I agree with Thomas that new class(es) for tabular data should not inherit from data.frame, and that data.frames should conceptually inherit from some other base tabular data class. At this point I'm not suggesting anything in concrete --- I haven't sorted it out in my own mind --- but I want

I've got a package I would like to send out for testing and have noticed a "problem" with the \tabular portion of the help "compiler" the code for inserting vertical lines, in the tabular environment, causes the build to choke, but not the check command. C:\>rcmd build --binary -docs=all nlsystemfit \tabular{|l|c|c|c|}{ \hline Method \tab Instruments \tab

Hi All, Can someone help me reshape following data: Var1 Var2 Val A X 1 A Y 2 A Z 3 B X 4 B Y 5 B Z 6 to some kind of matrix/tabular format (preferably as a matrix), may be like Var1 X Y Z A 1 2 3 B 4 5 6 Any help would be greatly appreciated, Kim [[alternative HTML version deleted]]

Dear all, I would like to save few variable-names with their values in a tabular form, with that I mean that files can be printed easily in R in a tabular form and also saved in a ascii file that when one opens it see also the variables in a nice tabular format. IS that possible? Below a small example of how should look results in R and in a txt file.              Postal Code | Superb

What is the equivalent for formatted tabular output of the various very sophisticated plotting tools in R (plot, lattice, ggplot2)? In particular, I'd like to be able to produce formatted Excel spreadsheets (using color, fonts, borders, etc. -- probably via Excel XML) and formatted HTML tables (ideally through a format-independent interface), and preview them using commands within R, just as

Hi all, I would like to ask if it is possible to use bubbleplot for a 20x20 matrix, instead of a dataframe with factors in columns. The idea would be to get a tabular representation with bubbles like in Rnews_2006_2 article, which look very nice. Thanks in advance, Albert.

Buenos días, estoy tratando de encontrar la manera de generar tablas en ficheros pdf (sweave) a través del paquete tables. He mirado que este tema esta activo en las listas pero no logro localizar las respuestas antes dadas, por eso lanzo esta consulta. Mi fichero .rnw tiene el siguiente aspecto: ******* \documentclass{article} \usepackage{array,booktabs,caption} \begin{document}

> Buenas, tengo la siguiente inquietud. > Tengo un data frame con los microdatos de la ECH de mi pais. He realizado > un cuadro sin problemas en excel pero me gustaria una rutina de R para > poder generar la tabla. El data.frame se llama ECH2009. Cuenta con las > siguientes variables para este caso: > > idhogar region estrato integranteshogar expansor ingpercapsvl Computador

Hi all, I have a presentation problem that I cannot find a solution to in the documetnation. I have a nice barplot. Below this I would also like a table with some information relating to the plot. My idea was to have the plot and table on the same graphics window so I can output them as an image file for a report. Does anybody know how to include tabular information from a dataset or table into

Hello folks, The codebook infrastructure for Vorbis is now well underway. This is it! The last piece needed for *real* bitstreams. To that end, I have a decent VQ codebook generator running. I was originally using some farily typical merge/split algorithms and then decided that the right way to do this was to model a VQ codebook as an m-dimensional set of bubbles (like a foam). I know there

Hi A.K Regarding my question on comparing normal/ obese/overweight with blood pressure change, I did finally as per the first suggestion of stacking the data and creating a normal category . This only gives me a obese not obese 14, but when I did with the wide format hoping to get a obese14,normal14,overweight 14 Vs hibp 21, i could not complete any of the models. This time I classified obese=1

The recent discussion about different graphing solutions made me think. What is everyone using for general reports? Currently I have a web based application at work that has roughly 20 different reports ranging from simple tabular data with totaling at the bottom to pretty, colorized, graphic logo''s,etc... going to clients, and finally complex ones I hate to think about such as

This is a question about removing the intercept in a binomial glm() model with categorical predictors. V&R (3rd Ed. Ch7) and Chambers & Hastie (1993) were very helpful but I wasn't sure I got all the answers. In a simplistic example suppose I want to explore how disability (3 levels, profound, severe, and mild) affects the dichotomized outcome. The glm1 model (see below) is

Hi all, This is probably going to come off as unnecessary (and show my ignorance) but I am trying to understand the parameter estimates I am getting from R when doing an ANCOVA. Basically, I am accustomed to the estimate for the categorical variable being equivalent to the respective cell means minus the grand mean. I know is the case in JMP - all other estimates from these data match the

Hi, thanks everyone for any help in advance. I found myself dealing with a tabular time-series data formatted each row like [ time stamp, ID, values]. I made a small examples: X = data.frame(t=c(1,1,1,2,2,2,2,3,3,3,4,4,4,5,5),id =