similar to: read data into R with some constraints

Hello, I'm an absolute beginner with R and neophite in data analysis, so please bear with me if I ask stupid question. I'm trying to do a correspondence analysis using R and MASS corresp function, but I get an error message which I'm unable to interpret: > data(weblog) > library(MASS) > corresp(~ url + fromurl, data=weblog) Error in svd(t(t(x1 * Dr) * Dc)) : error 306 in

Hi, I have the following (probably trivial) problem: I am running a Windows 95 System and have setted the environment variables R_HOME and especillay R_USER in the autoexec.bat. The idea was, to invoke R at the startup to read in the files .Renviron and .Rprofile from my home directory, even when the current working directory is somewhere else. Subject to the manual it should work, but it does

I have re-built all the compiled packages for R 1.2.0 for Windows, and the set available in CRAN/bin/windows/contrib are now for rw1020. If you are upgrading to rw1020, please replace all the compiled packages you have downloaded by ones from this set. There a few packages available for the first time: RMySQL mlbench netCDF and a few that are not yet running on 1.2.0 on any platform hdf5

I have re-built all the compiled packages for R 1.2.0 for Windows, and the set available in CRAN/bin/windows/contrib are now for rw1020. If you are upgrading to rw1020, please replace all the compiled packages you have downloaded by ones from this set. There a few packages available for the first time: RMySQL mlbench netCDF and a few that are not yet running on 1.2.0 on any platform hdf5

Dear sirs, My name is Marcelo Grimaldi and i work for General Electric in the Six Sigma Program. Recently I became very interested in spectral analysis, because I think it can be applied to my job. I use Minitab 12 and i have heard that writing macros for spectral analysis in this software is very difficult. Could I perform this analysis in a easier way throught "R" ? Have you ever

Hi, I want to pick 3 "integer" random numbers from 1 to 10. How to do this? Thanks, Yu-Ling Wu __________________________________________________ Do You Yahoo!? Get email at your own domain with Yahoo! Mail. http://personal.mail.yahoo.com/ -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Package: xen-utils-3.0.3-1 Version: 3.0.3-0-4 Severity: important # /etc/init.d/xend start Restarting XEN control daemon: xendTraceback (most recent call last): File "/usr/lib/xen-3.0.3-1/bin/xend", line 40, in <module> from xen.xend.server import SrvDaemon File "/usr/lib/xen-3.0.3-1/lib/python/xen/xend/server/SrvDaemon.py", line 17, in <module> import

Hi, I have a data set look like this: ================================= Fruit Quty apple 20 banana 10 orange 17 apple 30 apple 15 orange 26 banana 15 .........and so on .......... ================================= The level of fruit is 30, that is, there are 30 different fruits. I'd like to compute some simple statistics for each different fruit and get output like this:

Hi, I have a set of script like this: ---------------------- summary(data) plot(time, users, type="o", xlab ="Time", ylab="Number of Users") ---------------------- I type "rterm --slave < script.r > output.doc" and the graphic doesn't actually in the output.doc file. How to make the graphic embedded in Word or Excel file? Thanks, Yu-Ling Wu

Hi, Suppose I use the following codes to read in a data set. ############################################### > rating <- scan("../Data/Rating.csv", + what = list( + usage = "", + mileage = 0, + sex = "", + excess = "", + ncd = "", +

Hi, I am trying to use piecewise linear regression to approximate a nonlinear function. Actually, I don't know how many linear functions I need, therefore, I want build an array of regression models to automate the approximation job. Could you please give me any clue? Attached is ongoing code: rawData = scan("c:/zyang/mass/data/A01/1.PRN", what=list(numeric(),numeric())); len =

Dear All, I would like to use the simprof function (clustsig package) but the available distances do not include Jaccard distance, which is the most appropriate for pres/abs community data. Here is the core of the function: > simprof function (data, num.expected = 1000, num.simulated = 999, method.cluster = "average", method.distance = "euclidean", method.transform =

Dear all, Let say I have following data: RawData <- matrix(1:101, nr = 1); colnames(RawData) <- c("ASD", as.character(as.yearmon(seq(as.Date("2012-03-01"), length.out = 100, by = "1 month")))); rownames(RawData) <- "XYZ" CutOffDate <- as.Date("2012-09-01") NewDateSeries <- as.character(as.yearmon(seq(CutOffDate, to =

Hi All, I have txt file like : $ cat data.txt US 10 UK 12 Ind 4 Germany 14 France 8 > rawdata <- read.table(file='data.txt',sep='\t' , header=FALSE) > rawdata V1 V2 1 US 10 2 UK 12 3 Ind 4 4 Germany 14 5 France 8 I want to draw pie chart for the above data. How to split rawdata into : con <-

I understand that in R, for loops are not used as often as other languages, and am trying to learn how to avoid them. I am wondering if there is a more efficient way to write a certain piece of code, which right now I can only envision as a for loop. I have a data file that basically looks like: 1,55 1,23 2,12 ... that defines a matrix. Each row of the data file corresponds to a row of the

Hi R -users, i've a table as describe below. I'm reading the numeric value presented in this table to populate a list. #table #============ #X    A    B    C #x1    2    3    4 #x2    5    7    10 #x4    2    3    5 #============ rawData <- read.table("raw_data.txt",header=T, sep="\t") myList=list() counter=0 for (i in c(1:length(rawData$X))) {     print (i)    

In an earlier post, a person wanted to divide each of the rows of rawdata by the row vector sens so he did below but didn't like it and asked if there was a better solution. rawdata <- data.frame(rbind(c(1,2,2), c(4,5,6))) sens <- c(2,4,6) temp <- t(rawdata)/sens temp <- t(temp) print(temp) Gabor sent three other solutions and I understood 2 of them but not the

Dear R, I import data from spss into a R data.frame. On this rawdata I do some data processing (selection of observations, normalization, recoding of variables etc..). The result is stored in a new data.frame, however, in this new data.frame the value labels are lost. Example of what I do in code: # read raw data from spss rawdata <- read.spss("./data/T50937.SAV",

Hello there, Much thanks in advance for any help. I have a few questions: 1) Why do I keep getting the following error: File1 <- read.csv("../RawData/File1.csv",as.is=TRUE,row.names=1) Error in file(file, "rt") : cannot open the connection In addition: Warning message: In file(file, "rt") : cannot open file '../RawData/File1.csv': No such file or

Hi, I'd like to pass a string to a function as the value of the argument. Here is my code. However, it doesn't work. Please help me with this. Thanks, Yu-Ling Wu ----------------------------------------------------- library(RODBC) odbcConnect("console") -> myConnect fun1 <- function(dd1) { h3 <- sqlQuery(myConnect, "select * from console where byday =