similar to: Summary Regard with Lme does not work without a random effect (UN CLASSIFIED)

Classification: UNCLASSIFIED Caveats: NONE Dear R users, I'm interested in finding a random effect of the Block in the data shown below, but 'lme' does not work without the random effect. I'm not sure how to group the data without continuous value which is shown in the error message at the bottom line. If I use 'aov' with Error(Block), is there a test method comparing

Classification: UNCLASSIFIED Caveats: NONE Thanks for your quick response. The program you mentioned below available from R is based on number of runs (up or down) not based on a longest length of runs of same events. To be more specific, for example, from a series, HHTHTTTTHHH, the number of runs are 5, and the longest length of runs of the same events is 4. I'll check for the website you

Dear all, I'm trying to remove some text after the period (a decimal point) in the data frame 'hi', below. This is one step in formatting a table. So I would like e.g. "2.0" to become "2" and "5.3" to be "5.3", where the variable digordered contains the number of digits after the decimal that I would like to display, in the same order in which

Dear list, I want to perform a logistic regression analysis with multiple categorical predictors (i.e., a logit) on some data where there is a very definite relationship between one predicator and the response/independent variable. The problem I have is that in such a case the p value goes very high (while I as a naive newbie would expect it to crash towards 0). I'll illustrate my problem

Classification: UNCLASSIFIED Caveats: NONE Dear R users, How can I retrieve an evaluated gradient value from "deriv" function provided below? I want to retrieve b0 value. Appreciate your help. Kyong junk1<-deriv(~(1/b1)*k-b0/b1,"b0",c("k","b0","b1"),formal=T) junk1(k=0,b0=-14.0236,b1=2.44031) [1] 5.746647 attr(, "gradient"):

Hi R users, I’d like to get an expected value for a minimum value from order statistics of sample size, say, 5 for standard normal distribution, and the formula would be 5* Integral (from -inf to Inf) x*f(x)* (1-F(x))^4,where f(x) and F(x) are a standard normal density and a cumulative distribution function respectively. After searching R posts, I applied the following double integral

Classification: UNCLASSIFIED Caveats: NONE Hello, R users, Has anybody written a function for random test based on the length of longest run of same events. I really appreciate your help. Kyong Park Classification: UNCLASSIFIED Caveats: NONE [[alternative HTML version deleted]]

Hello, R users, I am a very beginner of R and tried read.csv to import an excel file after saving an excel file as csv. But it added alternating rows of fictitious NA values after row number 16. When I applied read.delim, there were trailing several commas at the end of each row after row number 16 instead of NA values. Appreciate your help. Kyong [[alternative HTML version deleted]]

Dear R users, I'm using R 2.1.0 with Windows 2000. In the middle of a R session, an error message pops up saying Rgui.exe generated errors and shuts down the R session. How can I correct this problem? Appreciate your help. Kyong [[alternative HTML version deleted]]

n`'o -----Original Message----- From: devon lock [mailto:syslinux at zytor.com] To: deon delacuesta; gaston crossman; emil berlo; isaac miramon Sent: Tuesday, August, 2004 5:50 PM Subject: Fly in the sky and feel the fresh air up Though I love m,y wi-fe but smoking also my meat and dri.n,k.That time I just don't kn^^ow how to choose while facing failure after trying lots of Smoking

I really appreciate all the helpful answers from Richard Müller, Marc Schwartz, Adaikalavan Ramasamy, Vito Ricci. I tried Marc's simple suggestion which was to copy only the data area and paste to a new excel sheet, and that solved my problem. I'll try other suggestions while I'm learning more about R. Unedited answers are provided below followed by my question. Thanks again. Kyong

I appreciate to Roger Koenker, Achim Zeileis and Vito Muggeo for their informative answers. Listed below is unedited replies I got followed by the question I posted. Kyong 1. Roger Koenker: You might try rqss() in the quantreg package. It gives piecewise linear fits for a nonparametric form of median regression using total variation of the derivative of the fitted function as a penalty

Hello, R users, I applied segmented regression method contributed by Muggeo and got different slope estimates depending on the initial break points. The results are listed below and I'd like to know what is a reasonable approach handling this kinds of problem. I think applying various initial break points is certainly not a efficient approach. Is there any other methods to deal with segmented

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With pleasure we announce the release of version 1.0.17. Here is a summary of the changes: * The DeviceType option can now be used to select dummy, raw socket, UML and VDE devices without needing to recompile tinc. * Allow multiple BindToAddress statements. * Decrement TTL value of IPv4 and IPv6 packets. * Add LocalDiscovery option allowing tinc to detect peers that are behind the

With pleasure we announce the release of version 1.0.17. Here is a summary of the changes: * The DeviceType option can now be used to select dummy, raw socket, UML and VDE devices without needing to recompile tinc. * Allow multiple BindToAddress statements. * Decrement TTL value of IPv4 and IPv6 packets. * Add LocalDiscovery option allowing tinc to detect peers that are behind the

Hi R bayesians, I need an advise how to resolve the two different estimates applying a traditional glm (TG) and a bayes glm (BG), and different results depending on the data formats of response data and the prior specs using bayesglm in R. I'm not familiar with bayes estimate and my colleague asked me to look into this because the EPA from France reported a quite different estimates for

Hi there, After scratching my head for days on why there is horrible white noise in musiconhold, I finally found out that the latest emerge version of mpg123: 0.59s-r2 is not working well with asterisk. However, if you get the latest source from mpg123.de mpg123-pre0.59s.tar.gz. Then it works wonderfully. Just a heads up for the Gentoo admin David

hi  all i am a kvm , qemu  user newbie , i am  using libvirt and virsh to mange my KVM VMs , i want to  limit the network bandwidth of each VM , i come across libvirt  xml format option : <forward mode='nat' dev='eth0'/> <bandwidth> <inbound average='1000' peak='5000' burst='5120'/> <outbound average='128'

Are there any well developed Classified Ads Script for Rails?