similar to: Scraping a web page

I am looking for advice on an editor to use with R (windows) that has an autosave feature. I typically write scripts using the RGui (and tried TinnR yesterday) but I am having continuing problems with BSODs (non R related) and have in the past have had issues with R crashes and would really like a system that does not require me to remember to hit the save button on my script every 10 minutes so

I have been trying to get Rgraphviz to work (I know it is from Bioconductor) unsuccessfully. Since I have no experience with Bioconductor I thought I would ask here if anyone has advice. I have installed Graphviz 2.20.3 as is recommended on the Bioconductor site but basically R cannot seem to find the needed dll files. So, even though I have added the appropriate directories to the system path R

We occasionally utilize the coxph function in the survival library to fit multinomial logit models. (The breslow method produces the same likelihood function as the multinomial logit). We then utilize the predict function to create summary results for various combinations of covariates. For example:

I am trying to run a partialPlot with Random Forest (as I have done many times before). First I run my forest... Cell is a 6 level factor that is the dependent variable - all other variables are predictors, most of these are factors as well. predCell<-randomForest(x=tempdata[-match("Cell",names(tempdata))],y=tempdata$Cell,importance=T) Then I try my partial plot to look at the

Dear r-help I am trying to run LDA on a training data set, and test it on another data set with the same variables. I found examples using crossvalidation, and using training and testing data sets set up with sample, but not when they are preassigned. Here is what I tried # FIRST SET UP A DATAFRAME WITH ALL THE DATA AND CREATE NEW VARIABLES traintest1 <-

Hi, I’ve written some code to obtain a confusion matrix when the true classification and the predicted classification are known. Suppose true classification is called “tr” and predicted classification is “pr”. I have 4 classes in tr, but only 3 classes out of 4 are predicted in “pr”. Following is my code, but looks quite “clunky” to me. I wonder if you have any suggestions to improve it.

I can think of several ways to blunt force hard code what I want but I imagine there is a command or two that can be easily combined to do this: I have a data frame with about 23000 observations. There first variable is the group to which the observation belongs (about 500 different groups). The second variable is a response for each observation that is a 1,2,3,4 or 5. I want to be able to

Dear R users I have a very basic question. I tried but could not find the required result. using dat <- pima f <- table(dat[,9]) > f 0 1 500 268 i want to find that class say "0" having maximum frequency i.e 500. I used >which.max(f) which provide 0 1 How can i get only the "0". Thanks and best regards Muhammad Azam Ph.D. Student Department of

Hello all: I have searched through the help files and I have been unsuccessful in solving this problem. I am trying to create a small wrapper function that will go around a call to a plot function and create a windows metafile in the directory and also write the name of the file to a text file. The purpose is to efficiently bring a large number of plots into powerpoint. I am using

I am trying to write a modified function to plot an rpart object. By using getS3method I can see the plot and text code that I want to modify. Since I don't want to modify the package, I create a new function to plot the rpart object. The problem is that the original function calls many rpart specific functions that are only visible inside the rpart namespace. Therefore, when I call my

I am trying to create a dendrogram object to be able to display a multiway table. I understand how the dendrogram object is structured, a nested list of lists, but I am having trouble trying to create that structure from a table. Basically, what I would like to do is pass a multiway table, say table(a,b,c) to a function and have it display the table as a dendrogram. If a,b,c, and d are all

I am just starting to experiment with the party package and I am getting strange results. In the examples, the "statistic" and "criterion" seem related, i.e. criterion is a 1-p.value and statistic is the test statistic. Higher statistics are associated with higher criteria values. When I run these models on my own dataset, the highest statistic ends up getting a 0.00

I am trying to run a very large Bradley-Terry model using the BradleyTerry2 package. (There are 288 "players" in the BT model). My problem is that I ran the model below successfully. WLMat is a win-loss matrix that is 288 by 288 WLdf<-countsToBinomial(WLMat) mod1<-BTm(cbind(win1,win2),player1,player2,~player,id="player",data=WLdf) Then I needed to run the same model

Hi, I'm trying to get data from web page and modify it in R. I have a problem with encoding. I'm not able to get encoding right in htmlTreeParse command. See below > library(RCurl) > library(XML) > > site <- getURL("http://www.aarresaari.net/jobboard/jobs.html") > txt <- readLines(tc <- textConnection(site)); close(tc) > txt <- htmlTreeParse(txt,

We got all rows by: library(XML) doc = htmlParse('http://www.statcan.gc.ca/daily-quotidien/090520/t090520b1-eng.htm') rows = xpathSApply(doc, '//table/tbody/tr') The last row is: row_last = rows[15] row_last [[1]] <tr><td id="t1stub17" class="stub1 RGBShade"><b>Unsmoothed composite leading indicator</b></td>&#13; <td

I have an XML file that has within it the coordinates of some polygons that I would like to extract and use in R. The polygons are nested rather deeply. For example, I found by trial and error that I can extract the coordinates of one of them using functions from the XML package: doc <- xmlInternalTreeParse('doc.kml') docroot <- xmlRoot(doc) pgon <-

Is there some way to remove superscripts from objects returned by html/xmlParse (XML package)? h <- "<html><p>Cat^a</p><p>Dog</p></html>" doc <- htmlParse(h) xpathSApply(doc, "//p", xmlValue) [1] "Cata" "Dog" I could probably remove the <sup> tags from the "h" object above,

Hello, I am trying to use XML package to download Facebook reviews in the following way: require(XML) mydata.vectors <- character(0) Qword <- URLencode('#IBM') QUERY <- paste('SELECT review_id, message, rating from review where message LIKE %',Qword,'%',sep='') Facebook_url = paste('https://api.facebook.com/method/fql.query?query=

Hi All, First method:- >library(XML) >theurl <- "http://home.sina.com" >download.file(theurl, "tmp.html") >txt <- readLines("tmp.html") >txt <- htmlTreeParse(txt, error=function(...){}, useInternalNodes = TRUE) >g <- xpathSApply(txt, "//p", function(x) xmlValue(x)) >head(grep(" ", g, value=T)) [1] " |

Hello! I am using function "curve" to create a line graph. I was wondering, if it's possible to "turn off" the default tick marks and introduce those tick marks in specific locations. For example, currently in my X axis tick marks are (automatically) at 10, 11, 12, 13 but I want them to be in 5 specific locations, like 9.89, 10.34, etc. Any hint would be greatly