similar to: lower triangle of the correlation matrix with xtable

Dear all, I am using gnome-terminal to run R, and I noticed that standard PageUp/Down do not work but they do work for other programs within the same terminal window (e.g. irssi). Scroll bar does not work either. I run R using GNU-screen, but it doesn't seem to make any difference. Many thanks Olga ------------------ R version 2.11.1 (2010-05-31) 2010 x86_64 GNU/Linux Ubuntu 10.04.1 LTS

Dear all, I am making a barplot as following: barplot(c(1,2,3,5,2,3,1),names.arg=c("100","200","300","400","500","600","700"),xlab="diameter",ylab="flow",main="some title",space=0.1) I am also trying to add a probability density curve, however using lines(density(c(1,2,3,5,2,3,1))) does not give

Dear all, Using: library(vegan) data(BCI) mod <- radfit(BCI[1,]) mod RAD models, family poisson No. of species 93, total abundance 448 par1 par2 par3 Deviance AIC BIC Null 39.5261 315.4362 315.4362 Preemption 0.042797 21.8939 299.8041 302.3367 Lognormal 1.0687 1.0186 25.1528 305.0629 310.1281

Dear all, I am trying to import data with read.csv and my file is on remote machine. I believe that I need to open a connection, not sure about syntax though. I would appreciate any suggestions, Thanks! Olga

Dear all, I am using GNU screen to run multiple R sessions from one working directory in order to split task, however I noticed that dataset is not synchronized e.g. if I have two sessions R1 and R2, and I remove an object from R1, R2 doesn't change as expected or change at random. I have tried to save.image(), q() and then restart both sessions, but it does not help. Any suggestions?

Dear all, I have a dataframe: df<-dataframe(a=c(1,2,3),b=c(4,5,6),c=c(7,8,9),d=c(10,11,12)) I want to obtain a new dataframe with columns a and b being standardized ((x-mean(x))/sd(x)); the other two columns (c,d) I want to leave unchanged. What is the best way to achieve this? I have been trying to use subscripts but did not succeed so far. Any tips? Many thanks, Olga

Dear all, I was wondering if there is a way to explore a syntax of particular function without package installation? I am trying to write my own functions, and I would like to see how other people approached similar problems. If every time I have to install/load package to be able to explore function syntax I end up installing loads of packages I am never going to use. I have also tried

Hi UseRs, I don't want to die beeing idiot... I dont understand the different results between: cor() and cov2cov(cov()). See this little example: > x=matrix(c(0.5,0.2,0.3,0.1,0.4,NA,0.7,0.2,0.6,0.1,0.4,0.9),ncol=3) > cov2cor(cov(x,use="pairwise.complete.obs")) [,1] [,2] [,3] [1,] 1.0000000 0.4653400 -0.1159542 [2,] 0.4653400 1.0000000

Question 2a) I am also working with arules package and I have the following problem let suppose the matrix b like: b<-matrix(c(1,1,1,1,1,1,0,0,1,1,1,1,0,0,1,1,0,1,1,1,1,1,1,1),nrow=6) rownames(b)=c("T1", "T2", "T3", "T4", "T5", "T6") colnames(b)=c("It1", "It2", "It3", "It4") bt<-as(b,

Dear all, I have two data frames- x1 and y1 with same row names and column names(actually the names of the patients). x1 a b c d e a 1.0000000 0.4730679 0.6226994 0.6036036 0.6433333 b 0.4730679 1.0000000 0.6227273 0.6303855 0.5730858 c 0.6226994 0.6227273 1.0000000 0.7290503 0.6900585 d 0.6036036 0.6303855 0.7290503 1.0000000

Hello, I am trying to get a linear model of y ~ log(x). *> lm (y~log(x))* However, I always get an error report: /Error in model.frame.default(formula = y ~ log(x), drop.unused.levels = TRUE) : variable lengths differ (found for 'log(x)')/ *Here was my y:* > y [1] 0.4500000 0.0500000 0.5000000 0.4000000 0.0000000 0.5000000 0.4000000 [8] 0.0500000

Hallo R Users, Please help I have some distance matrix data like > M[1:10,] [,1] [,2] [,3] [,4] [,5] [,6] [1,] 0.8750000 0.5000000 0.5000000 0.3750000 0.6250000 0.00000000 [2,] 0.8928571 1.0000000 0.0000000 0.8928571 0.1071429 0.00000000 [3,] 0.8928571 1.0000000 0.0000000 0.8928571 0.1071429 0.00000000 [4,] 0.8928571 1.0000000 0.0000000 0.8928571

Hi, I am Olga Viedma. I am running a Zero-inflated negative binomial (ZINB) multi-level model using MCMCglmm package. I have a doubt. Can I use the "Liab" outputs as fitted data, instead of the predicted values from "predict"? The liab outputs fit very well with the observed data, whereas the predicted values are so bad. Thanks in advance, Olga Viedma D . Olga

Hello, All! I have function which is written in C, the function uses other functions also builded bu me. Now I need to use the function to build R function. My questions are: 1. How can I include libraries (for example, iomanip, sstream, tcl.h)? 2. Should I put other function to the separate file and then include the file? Thanks All :) Olga [[alternative HTML version deleted]]

brtfs could be supported on Opensolaris, too. IMO it could even complement ZFS and spawn some concurrent development between both. ZFS is too high end and works very poorly with less than 2GB while brtfs reportedly works well with 128MB on ARM. Olga On Wed, Apr 14, 2010 at 5:31 PM, <Casper.Dik at sun.com> wrote: > > >>Just a completely different question...is there any plans

My decision tree grows only with one split and based on what I see in E-Miner it should split on more variables. How can I adjust splitting criteria in R? Also is there way to indicate that some variables are binary, like variable Info_G is binary so in the results would be nice to see "2) Info_G=0" instead of "2) Info_G<0.5". Thank you in advance! And thanks for Eric who

Hi, The basic toolchain is up and running. I encourage community to test this workflow once. It is an addition to the existing contributing mediums. Site: http://clown-olga-13325.bitballoon.com/ Contributing Docs repo : https://github.com/kunaaljain/test-centos-docs ==AIM== Initial Idea : http://wiki.centos.org/GSoC/2015/Ideas#docs-toolchain The CentOS Project needs more short-form

Dear sir, I have a matrix like a<-matrix(c(0,2,0,4,0,6,5,8,0),nrow=3) colnames(a)<-c("F1","F2","F3") rownames(a)<-c("A1","A2","A3") a F1 F2 F3 A1 0 4 5 A2 2 0 8 A3 0 6 0 I want to extract all pairs (rownames, columnames) from which the value in the matrix is 0 The result should be something like this A1, F1 A2,

Hi, xtabs() creates a table of counts. I want a table of proportions -- that is, I want to divide every vector (along a particular dimension) by its sum. The tiny example below does that. The call to xtabs() creates a matrix "A" with dimensions ("x1","x2","y"). I transform "A" using aperm() and aaply() to get the matrix "B". The

Short question: Is it possible to use statistical tests, like the Augmented Dickey-Fuller test, in functions with for-loops? If not, are there any alternative ways to scale measures? Detailed explanation: I am working with time-series, and I want to flag curves that are not stationary and which display pulses, trends, or level shifts. >df DATE ID VALUE2012-03-06 1