similar to: NA and logical indexes

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Hello, Hope that someone could help me plotting longitudinal data below: 7213 3333330001 0.8300 13.05.09 1 1 3333330001 0.8700 09.02.05 NULL 4797 3333330001 0.7700 21.03.07 NULL 2399 3333330001 0.7800 12.04.06 NULL 2400 3333330002 NULL 27.03.06 NULL 7230 3333330002 0.8200 14.05.09 0 2 3333330002 0.8400 09.02.05 NULL 4798 3333330002 0.8700 20.03.07 0 4799 3333330003 0.9000 20.03.07 13 2401

Dear All, I am new to ordinal logistic regression. Using ordinal regression within the R Commander GUI, I have generated an independent variable that is significant, but whose 95% confidence intervals slightly crosses "1". Is this possible? Here is the syntax and output: polr(formula = CDIcat ~ Employment, data = CDIallvariables, Hess = TRUE, method = "logistic")

Hey, I have a few doubts with regard to the usage of the auto.arima function from the forecast package in R. *Background:* I have a set of about 50 time-series for which I would like to estimate the best autroregressive model. (I want to estimate the coefficients and order of p). Each of the series is non-stationary and are also have a non-normal distribution. The data is non-seasonal. My

Hi, I have a matrix with few hundred by a few hundred and want to extract rows, e.g. (0,1,0), or (1.3, 2.4, 4). I made an example: > A = rep(rep(c(0,1),4),2) > B = rep(rep(c(0,1),each=4),2) > C = rep(rep(rep(c(0,1),2),each=2),2) > X = data.frame(A,B,C,rnorm(16)) A B C [1,] 0 0 0 0.72767870 [2,] 1 0 0 -0.09673298 [3,] 0 0 1 0.51192790 [4,] 1 0 1 -1.54350441 [5,] 0 1 0

Dear sir, I want to submit R batch jobs (e.g. 5) under the linux cluster by the script file "do_mul". The script file "do_mul" " #!/bin/bash export var for var in $(seq 1 5) do qsub -v var do_test done exit 0 " Through "do_mul", 5 "do_test" script files are submitted to the cluster. The script file "do_test": " #!/bin/bash -l

Full_Name: Hallgeir Grinde Version: 2.1.1 OS: Windows XP Submission from: (NULL) (144.127.1.1) While using lm(y~(x*z*c*...*v)^2) R crashes/closes if the numbers of variables are at least 8.