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Dear Mailing-List, I think this is a newbie question. However, i would like to integrate a loop in the function below. So that the script calculates for each variable within the dataframe df1 the connecting data in df2. Actually it takes only the first row. I hope that's clear. My goal is to apply the function for each data in df1. Many thanks in advance. An example is as follows: df1

Dear list, We have a number of files containing similarly structured data: file1: A B C 1 2 3 4 5 6 file2: A B C 7 8 9 10 11 12 ... etc My part of R receives all these data as an array: 1,2,3... 12 together with info about dimensions (row,col,fileN) . ( Converting the data into 3D cannot simply done by: array(x, c(2,3,2)) because breaks the structure (e.g. 1,3,5 is type mismatch)

I have two lists (and possibly more): col.prop <- structure(list(B = structure(c(0.5, 0.5, 0.6, 0.4, 0.555555555555556, 0.444444444444444), class = c("cast_matrix", "matrix"), .Dim = 2:3, .Dimnames = list( NULL, NULL)), D = structure(c(1, 0, 0.666666666666667, 0.333333333333333, 0.8, 0.2), class = c("cast_matrix", "matrix"), .Dim = 2:3, .Dimnames =

Hello out there, im running Dovecot on "ubuntu Dapper" serving pop3 only in maildir-style, but the dove-auth-process refuses "answers" to the deliver or login-process from time to time, (several times a day), and I have no glue whats going on and why ... Debbugging password-Auth surprised me, as the transmitted password IS correct and allows an successfull authenification lots

Problem: Based on a n x 2 data matrix i want a kernel estimate of the bivariate density. However, i also wish to specify wich points the density should be calculated at. I can offcourse just write the full kernel density estimate as a R-code, but surely there must already exist some package for this operation? The package density(), seems to create a new matrix (depending on n), where the

I have a set of time-series climate data with missing entries. I need to add rows for these missing entries to this data set. The only way I know to do this is unsing a foreloop, but this won't work on a list. I've tried to convert the list to a data frame, but that won't happen, either. I want to fill rows in this table: > newtest[10:15,] yrmos yearmo snow.sum snow.mean

Verified Credible Driving traffic to your website using testimonials Driving traffic to your website using Verifiedcredible.com testimonials will get you a good amount of traffic. First off many companies are looking for consumers to say good things about their products because it builds their creditability. Next when you find a good product why not say good things about it. It is a win-win for

Dear list, I have found a thread dealing with similar problems with a Mac, but somehow I cannot get it to work and the problem is slightly different: I am using the shell() command to execute a program from within R. The problem is that I need to execute SDKShell.bat file first that sets the environment variables for the program ogr2ogr.exe: shell(cmd =

I am trying to install samba 3.0.0 and getting below error when try to run ./configure… Please advise. Thanks. #pwd /usr/local/src/samba/3.0.0/source <<<<<<<<<<<<Is this correct place to run .configure ? # ./configure checking for gcc…..no checking for cc……no checking for cc……no checking for c1…….no configuration errror : no acceptable c compiler found in

Hello, I try to plot a number of functions that are given by a textfile. This file looks like this: ---- (1+s) / (1+k) ; (1+(2*s)^2) / (1+k)^2 ; etc etc. ---- I import these functions into R with the 'readLines' command. This creates a table whose elements contain the conditions as character strings. I want to generically plot the functions (there are many) while varying k, but the type

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Hi All, I would like to use Kennard-Stone algorithm for splitting a dataset. > mydata <- read.csv(url("http://www.ats.ucla.edu/stat/r/dae/binary.csv ")) > library("soil.spec") > ken.sto(mydata,per.n=0.3) Error in ken.sto(mydata, per.n = 0.3) : subscript out of bounds I found that other people run into this problem as well:

http://r.789695.n4.nabble.com/file/n3031344/RSV.Rdata RSV.Rdata I want to split my dataset to training set and test set using kennard-stone(KS) algorithm, it is lucky there is R packages soil.spec to implement it. but when I used it to my dataset, it does not work, who can help me, how reasons is it, below, it is my code, and my data in the attachment.

Hello, i' m looking for a function to compute geary statistic for spatial correlation. Thanks. -- St?phane DRAY --------------------------------------------------------------- Biom?trie et Biologie ?volutive - Equipe "?cologie Statistique" Universite Lyon 1 - Bat 711 - 69622 Villeurbanne CEDEX - France Tel : 04 72 43 27 56 Fax : 04 78 89 27 19 04 72 43 27 57 E-mail

Hi -I am using R v 2.13.0. I am trying to use the aggregate function to calculate the percent at length for each Trip_id and CommonName. Here is a small subset of the data. Trip_id Vessel CommonName Length Count 1 230 Sunlight Shad,American 19 1 2 230 Sunlight Shad,American 20 1 3 230 Sunlight Shad,American 21

eigen() seems to work for symmetric matrices only. This is out of sync with the help file. > trpr.37 0 1 2 3 4 0 1.00000000 0.0000000 0.0000000 0.0000000 0.0000000 1 0.44444444 0.5555556 0.0000000 0.0000000 0.0000000 2 0.02439024 0.2439024 0.7317073 0.0000000 0.0000000 3 0.00000000 0.0000000 0.2307692 0.7692308 0.0000000 4 0.00000000 0.0000000

Dear all, 1. How can I compute the intersecting area between 2 polygons ? 2. I have polygons with coordinates in decimal degrees (i.e. 13 deg 30 min = 13.5 decimal degrees). I want to compute their area and get the results in square meters or square kiometers. Can anyone give me a conversion coefficient or a pointer where I can find this information (sorry for this off topic question) ? Thanks

I'm interested in restricting the pairwise comparisons of interaction effects in a multi-way factorial ANOVA, because I find comparisons of interactions between all different variables different to interpret. For example (supposing a p<0.10 cutoff just to be able to use this example): > summary(fm1 <- aov(breaks ~ wool*tension, data = warpbreaks)) Df Sum Sq Mean Sq F

Theora and Vorbis both uses same extension .ogg. I know ogg is a container, just like avi. But in my opinion video and audio files should have different extensions (using .ogv can be a nice idea). To a media player it doesn't matter what extension a file uses, but to a human who does a ls in a directory full of media files having different extensions will help a lot. I know one can use file

Fellow R Users: I'm not extremely familiar with lda or R programming, but a recent editorial review of a manuscript submission has prompted a crash cousre. I am on this forum hoping I could solicit some much needed advice for deriving a classification equation. I have used three basic measurements in lda to predict two groups: male and female. I have a working model, low Wilk's lambda,