similar to: Cross Validation output

Good Day All, I have a negative binomial model which I have developed using the MASS library. I now would like to develop some predictions from it. Running the predict.glm (stats library) using type="response" gives me a non-integer value which was rather puzzling. I would like to confirm that this is actually the mean predicted value of the probability mass function as opposed

Good Day, I have several ASCII data files that I would like to import into R. They all have a SAS import file which is used to bring the data into SAS and I am hoping to use this to bring the data into R. There are lots of variables involved and the ASCII data file is 2308 columns long so I would certainly prefer to figure out a smart way of converting the data to R. The ASCII data is a

Good Day All, I am working on some xyplots using the Lattice Library. My X-axis is the date and I am reproducing charts similar to those found in the R Gallery (see here: http://www.sr.bham.ac.uk/~ajrs/R/gallery/plot_midday_weather_profiles.txt) However, the key difference is that some of my data is missing (not collected at that time). For instance, I might have a whole month that I do

Hi All, Could someone help me decode what this error means ? > BIC(nb.80) Error in log(attr(object, "nobs")) : Non-numeric argument to mathematical function > BTW, nb.80 is a negative binomial glm model created using the MASS library with the call at the bottom of the message In the hopes of trying to figure this out I tried the following workaround but it did not work

Hi All, I am working on some ordinal logistic regresssions using LRM in the Design package. My response variable has three categories (1,2,3) and after using the creating my model and using a call to predict some values and I wanted to use a simple .5 cut-off to classify my probabilities into the categories. I had two questions: a) first, I am having trouble directly accessing the

Hi there: I'm having a weird problem with my startup procedure. R.app is reading an unknown .Rprofile file. First, I'm on a Mac Os 10.6.8 running R.app 2.15.0 On startup > getwd() [1] "/Users/simon" But: the contents of my .Rprofile file in my home directory when viewed with a text editor are: .First<-function() {

Dear Helpers, I just started working with R and I'm a bit overloaded with information. My data is from marsupials reindroduced in a area. I have weight(wt), hind foot lenghts(pes) as continues variables and origin and gender as categorial. condition is just the residuals i took from the model. > names(dat1) [1] "wt" "pes" "origin" "gender"

Hello Helpers, I have some problems with fitting the model for my data... -->my Literatur says (crawley testbook)= Non-normality of errors-->I get a banana shape Q-Q plot with opening of banana downwards Structure of data: origin wt pes gender 1 wild 5.35 147.0 male 2 wild 5.90 148.0 male 3 wild 6.00 156.0 male 4 wild 7.50 157.0 male 5 wild 5.90

Version: platform = sparc-sun-solaris2.6 arch = sparc os = solaris2.6 system = sparc, solaris2.6 status = status.rev = 0 major = 0 minor = 64.2 year = 1999 month = July day = 3 language = R -- It is unclear to me that the handling of NAs is desirable, and it has problems with names: > z <- c(T,T,NA,F,T) > names(z) <- letters[1:5] > which(z) Error: names attribute

I installed capistrano and have tried several things. Can''t seem to get it working. This is what i am getting. C:\ruby\radrails\modernfossil>cap deploy * executing `deploy'' * executing `deploy:update'' ** transaction: start * executing `deploy:update_code'' svn: Can''t create tunnel: The system cannot find the file specified. ***

Hi there! I have a serious issue! I tried installing a game (PES 2010) and then, because it was not running, I decided to remove the application and upgrading to wine 1.1.33. So I did and then I restarted setup.exe, but now it brings me to the unistall prompt of the game, as if I had pes installed yet! To remove it, I oreviously used the "remove wine apps" tool, but after that the game

I'm completely new to linux so please explain some terms that i might now know I have PES 2011 cracked version and I installed it on linux only to get something like "PES not installed" everytime i try to run it. I don't have a disk. Can somebody help?

I have a vector Pes with 600 elements some of which are NA's. How can I form a vector of the indices of the NA's. for(i in 1:600) if(is.na(Pes[i])) print(i) prints the indices of the NA's but I can't figure out how to put the results in a vector. Thank you very much. Peter B. -- Peter B. Mandeville mandevip at deimos.tc.uaslp.mx Jefe del Depto. de

# export USB_DEBUG=5 # /usr/local/ups/bin/usbhid-ups -a CP550SLG -DDDDD Network UPS Tools - Generic HID driver 0.34 (2.4.3) USB communication driver 0.31 0.000000 debug level is '5' 0.000426 upsdrv_initups... usb_set_debug: Setting debugging level to 5 (on) usb_os_init: Found USB VFS at /dev/bus/usb usb_os_find_busses: Found 001 usb_os_find_busses: Found 002

Hi all, I was conducting a meta-analysis of single proportions(i.e. without a control group) using the metafor package. When I performed a classic fail-safe N, I noticed that the result (the number of missing studies that would bring p-value to the alpha, to be exact)was different than that I got in Comprehensive Meta-Analysis Version 2.0. I wonder why R and CMA got different results. *Below is

I would suggest to post this to the (recently created) R-sig-meta-analysis mailing list. See: https://stat.ethz.ch/mailman/listinfo/r-sig-meta-analysis Best, Wolfgang >-----Original Message----- >From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Naike Wang >Sent: Monday, June 26, 2017 08:32 >To: R-help at r-project.org >Subject: [R] Classic fail-safe N >

Hi all, I was conducting a meta-analysis of single proportions(i.e. without a control group) using the metafor package. When I performed a classic fail-safe N, I noticed that the result (the number of missing studies that would bring p-value to the alpha, to be exact)was different than that I got in Comprehensive Meta-Analysis Version 2.0. I wonder why R and CMA got different results. *Below is

Dear all, I request your help to solve a problem I've encountered in using 'mice' for multiple imputation. I want to apply a logistic regression model. I need to extract information on the fit of the model. Is there any way to calculate a likelihood ratio or the McFadden-pseudoR2 from the results of the logistic model? I mean, as it is possible to extract pooled averaging and odds

Hi I've noticed that my gamepad doesn't work on all games requiring a native xinput_3.dll to run (bioshock, racedriver, pes...) but it works with certain games like "trackmania" maybe there's an enhencement needed to get it working Is there's something to do ? What is the difference between xinput and direct input ? There's some optional regedit dinput option :

Hi, I am Susheel Suresh from Bangalore India. I am currently an undergrad student at PES Institute Of Technology and studying Computer Science. I am really interested in contributing to XIPH.org. I have experience in SQL, JSON , C,JAVA , PHP and have worked on a project which used node.js. So I am excited to work on the Stream Directory API. I have a fair experience in API design also. So please