similar to: (simple) xml into data.frame and reverse

Hi, I have an existing XML document on disk, which I'd like to use as a template, and exchange a subnode with my own newly created subtree: <?xml version="1.0"?> <Duncan> <name a="1" b="xyz"> <first>Duncan</first> <last>Temple Lang</last> </name> </Duncan> created by e.g. ? library(XML)

Hi, Has anyone out there written a function to take a data.frame as input and generate XML that conforms to the DTD for ggobi ("ggobi.dtd")? In other words, like a simple version of the writeSDML function in the StatDataML package, but using ggobi.dtd instead of StatDataML.dtd. It looks easy to write such a function to handle data.frames with only numeric data, but a bit of work with

Dear Listers: I have a couple of data frames to report and each corresponds to different condtions, e.g. conditions=c(10, 15, 20, 25). In this examples, four data frames need to be exported in a "pretty" report. I knew Perl has some module for exporting data to Excel and after googling, I found R does not. So I am wondering if there is a package in R for generating good reports. I

Dieter Menne pointed out that the (small) xml attachment didn't make it. Here is an in-line version (see end of message). Let's hope it works this time. I'm struggling with interpreting XML files created by ADODB as data.frames and I'm looking for advice. Note: This xlm contains a result set which comes from a rectangular data array. I've been trying to play with

I'm struggling with interpreting XML files created by ADODB as data.frames and I'm looking for advice (see attached example file). Note: This file contains a result set which comes from a rectangular data array. I've been trying to play with parameters to the xmlToDataFrame function in the XML package but I dont get it to extract the data frame. This is what the result should look

Is it possible to modify an emails subject line in a sieve script? I've seen references to 'addtag' whilst googling, but it appears dovecots implementation doens't support it - are there any other methods? As a side note, can anyone suggest a web based script editor that works? Simply a text area to write the script in would do Thanks, -- Ian P. Christian ~ pookey.co.uk

I'm probably being dense but I can't work out how to add the second line: <?xml version="1.0" encoding="ISO-8859-1"?> <?xml-stylesheet type="text/xsl" href="style.xsl"?> <catalogue> ... ... I can get the first line using: saveXML(xml$value(), prefix='<?xml version="1.0"?>',

I tried to build (and install) XML_3.95-0.1.tar.gz on FreeBSD 10.0-CURRENT amd64, but it stopped during the check of R_HAS_REMOVE_FINALIZERS (full log appended): ---------------------------------- R CMD INSTALL XML_3.95-0.1.tar.gz [..snip..] Checking for 1.8: -DR_HAS_REMOVE_FINALIZERS=1 -I/usr/local/include/libxml2 -I/usr/local/include Using libxml2.* checking for gzopen in -lz... gcc46

Dear Prof. Lang - I am trying to install the XML library on a 64-bit SUSE linux system (version info below) running 2.4.1. I have gcc version 3.3.3, and libxml2 version 2.6.7. I know this is not current, but I'm on a machine used and administered by others, and updating libxml2 would require updating libc, and things get pretty complicated from there. Trying to install through R (1.9-0),

Hello everyone, I am probably not the only one having trouble with this package but here goes. I want to install XML on Ubuntu. I installed libxml2-dev and everything works out fine until I get the following: Error in reconcilePropertiesAndPrototype(name, slots, prototype, superClasses, : No definition was found for superclass "namedList" in the specification of class

Dear all I am trying to use the ODB package to connect to an libreoffice-odb database. The libreoffice package is german, thus, decimal separator is a comma. However, I can open the database and upload a it without error, library(ODB) db <- odb.open("Test.odb") but a soon as the "odb.open" command is executed, the decimal separator in R is changed to comma. Before

I am a relatively new user to R, and I am trying to learn more about converting data in an XML document into "2-dimensional format" such as a table or array. I might eventually wish to export this data into a relational database such as SQL, and/or to work with this data within the R package. My sample XML document is located at "

Dear colleagues, each time I use htmlParse, R crashes or hangs. The url I'd like to parse is included below as is the results of a series of basic commands that describe what I'm experiencing. The results of sessionInfo() are attached at the bottom of the message. The thing is, htmlTreeParse appears to work just fine, although it doesn't appear to contain the information I need (the

Hello, from a software I have the following output in xml (see below): It is a series of matrices, for each age one. I have 3 categories (might vary in the application), hence, 3x3 matrices where each element gives the probability of transition from i to j. I would like read this data into R (preferably in a list, where each list element is one of the age specific matrices) and - after altering

Dear R users, I am using lmer combined with AIC model selection and averaging (in the MuMIn package) to try and assess how isotope values (which indicate diet) vary within a population of animals. I have multiple measures from individuals (variable 'Tattoo') and multiple individuals within social groups within 4 locations (A, B, C ,D) crucially I am interested if there are

Dear R-ers, my task is to simple: to assign cases to desired groupings based on the combined values on 2 variables. I can think of 3 methods of doing it. Method 1 seems to me pretty r-like, but it requires a lot of lines of code - onerous. Method 2 is a loop, so not very good - as it loops through all rows of mydata. Method 3 is a loop but loops through fewer lines, so it seems to me more

Dear all, I noticed the following while playing around with fitting log-linear models to contingency tables using R 1.8.1, but the problem also exists under R 1.9.0. A reproducible example uses the following contingency table: > library(MASS) > data(quine) > tmp <- with(quine, expand.grid(Eth=levels(Eth), Sex=levels(Sex), + Lrn=levels(Lrn), Age=levels(Age)))

I am executing a Repeated Measures Analysis of Variance with 1 DV (LOCOMOTOR RESPONSE), 2 Within-Subjects Factors (AGE, ACOUSTIC CONDITION), and 1 Between-Subjects Factor (SEX). Does anyone know whether the between-subjects factor (SEX) belongs in the Error Term of the aov or not? And if it does belong, where in the Error Term does it go? The 3 possible scenarios are listed below: e.g., 1.

dear£º in the example£¨nomogram£©£¬I don't understand the meanings of the program which have been marked by red line.And how to compile the program(L <- .4*(sex=='male') + .045*(age-50) + (log(cholesterol - 10)-5.2)*(-2*(sex=='female') + 2*(sex=='male'))). n <- 1000 # define sample size set.seed(17) # so can reproduce the results age <- rnorm(n, 50, 10)

Hi all: My data is in the attachment. I want to analysis the mean difference of y between 2 sex. My code: result_lm<-lm(y~factor(sex) + x1 + x2) summary(result_lm) The result of "factor(sex)m" 136.83, is the mean difference of y between 2 sex,and the corresponding p value is 0.07618. My question is: how to get the mean y of sex(m) and sex(f) respectively via lm function? Many