similar to: data transformation using gamma

Hi R-users,   I would like to transform my data using gamma, my data are ahll, bhall and dp1 as shown below:   > ahall      ah1  ah2  ah3  ah4  ah5  ah6  ah7  ah8  ah9 ah10 ah11 ah12 [1,] 0.9 1.01 1.24 1.85 1.85 2.45 3.67 3.02 3.06 2.33 1.86 0.96   > bhall        bh1   bh2   bh3   bh4  bh5   bh6   bh7   bh8   bh9  bh10  bh11  bh12 [1,] 48.39 44.26 37.34 29.93 33.5 26.54 20.26 25.73 20.14

R-helpers, I am using the package "drc" to fit a 4 parameter logistic model. When I use the predict function to get prediction on a new dataset, I am not getting the requested confidence or prediction intervals. Any idea what is going on? Here is code to reproduce the problem: --- library(drc) # Fit model to existing dataset in package spinach.model <- drm(SLOPE~DOSE, data =

R-helpers, I recently submitted a help request for the predict.drm function found in the drc package. I am still having issues with the function and I am submitting reproducible code hoping that somebody can help me figure out what is going on. -------- library(drc) # Fit a 4 parameter logistic model to ryegrass dataset fit <- drm(rootl ~ conc, data = ryegrass, fct = LL.4()) summary(fit) #

df is a very large data frame with arrival estimates for many flights (DF$flightfact) at random times (df$PredTime). The error of the estimate is df$dt. My problem is that I want to know the prediction error at each minute before landing. This code works, but is very slow, and dominates everything. I tried using split(), but that rapidly ate up my 12 GB of memory. So, is there a better R way of

username: paulcombs subject: http://wiki.centos.org/AdrianHall/CentralizedLDAPAuth I find that the CentOS Wiki's to be useful, however, sometimes incomplete. I would like to contribute where I can to complete Wiki articles so that the end result is the expected result. I have been in contact with Adrian Hall author of this article ttp://wiki.centos.org/AdrianHall/CentralizedLDAPAuth and

Hi. Has anyone tried http://svn.xiph.org/branches/theora-mmx this code on Win32 ? I can compile it with very small modification, 304c304 < ogg_int16_t *const temp= (ogg_int16_t*)align_tmp; --- > ogg_int16_t *const temp= (int16_t*)align_tmp; but outputs seem terribly broken. -> ex. http://mycomputer.cc/temp/mmx-out.ogg GCC version is 3.4.2. $ gcc --version gcc.exe (GCC) 3.4.2

I think this is an issue of serious interest to many of the subscribers of these lists; it would effectively ban a lot of security-related tools that many of use now find indispensable, e.g. ssh, pgp. ------- Start of forwarded message ------- Date: 21 Mar 1997 10:11:57 GMT From: rja14@cl.cam.ac.uk (Ross Anderson) Approved: R.E.Wolff@BitWizard.nl Subject: DTI proposals on key escrow The British

> > Simple answer: > Administrator, No > Domain Admins, Yes Ok. It was already that way. root at fileserver:/etc/samba# getent group ... domain admins:x:10004: domain users:x:10000: dap:x:10003: dti:x:10001: For some reason with the administrator user is not working, I put my user as domain admin and include him as a member of unix and now I can access the security tab.

Dear All, I am trying to use ode solver "rk4" to solve an ODE system, however, it keeps saying: Error in eval(expr, envir, enclos) : object "dIN" not found. The sample codes are enclosed as follows, please help me. Thank you very much! rm(list=ls()) library(odesolve) # The ODE system ode <- function(t,x,p){ with(as.list(c(x,p)),{

I think I have the same problems as: http://gluster.org/pipermail/gluster-users/2011-June/007980.html and http://gluster.org/pipermail/gluster-users/2011-May/007697.html Recently I installed Glusterfs 3.2.0 on four workstations which share a total of 28TB of disk-space between them for batch processing of FMRI and DTI data. Had the same setup between three workstations and 9TB with Glusterfs

Dear All, I am trying to use ode solver "rk4" to solve an ODE system, however, it keeps saying: Error in eval(expr, envir, enclos) : object "dIN" not found. The sample codes are enclosed as follows, please help me. Thank you very much! rm(list=ls()) library(odesolve) # The ODE system ode <- function(t,x,p){ with(as.list(c(x,p)),{

Hi, #working directory data1 #changed name data to data1.? Added some files in each of sub directories a1, a2, etc. ?indx1<- indx[indx!=""] lapply(indx1,function(x) list.files(x)) #[[1]] #[1] "a1.txt"??????? "mmmmm11kk.txt" #[[2]] #[1] "a2.txt"??????? "mmmmm11kk.txt" #[[3]] #[1] "a3.txt"??????? "mmmmm11kk.txt" #[[4]] #[1]

https://bugs.freedesktop.org/show_bug.cgi?id=77529 Priority: medium Bug ID: 77529 Assignee: nouveau at lists.freedesktop.org Summary: NVS 510 DP-3 output doesn't work QA Contact: xorg-team at lists.x.org Severity: normal Classification: Unclassified OS: All Reporter: tex at sergio.spb.ru

Hi, all: Two examples are shown below. I want to use the multiple comparison of Dunnett. It succeeded in upper case "example 1". However, the lower case "example 2" went wrong. In "example 2", the function pmvt return NaN, so I cannot show this simtest result. Is there any solution? (I changed the variable "maxpts" to a large number in front of the

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 dti is a new contributed package for R, that implements functions for smoothing Diffusion-weighted MR data with structural adaptive smoothing methods. Version 0.5-2 contains functions for smoothing DW data in the context of the Diffusion Tensor Model and for visualization of Diffusion Tensor Data and anisotropy maps derived thereof. The tensor

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 dti is a new contributed package for R, that implements functions for smoothing Diffusion-weighted MR data with structural adaptive smoothing methods. Version 0.5-2 contains functions for smoothing DW data in the context of the Diffusion Tensor Model and for visualization of Diffusion Tensor Data and anisotropy maps derived thereof. The tensor

https://bugzilla.samba.org/show_bug.cgi?id=7953 Summary: -x flag prevents symlink on source filesystem from overwriting dest dir Product: rsync Version: 3.0.7 Platform: x86 OS/Version: Linux Status: NEW Severity: normal Priority: P3 Component: core AssignedTo: wayned at

Hi all, I've noticed that many computational neuroscience research groups use MATLAB. While it's possible that MATLAB may have some features unavailable in R, I suspect that this may instead simply be a case of costly tradition, where researchers were taught MATLAB as students and pay for it as researchers because it's all they know. I'd like to attempt to break the cycle by

Out of the blue i started receiving the following error on my PRI line which connects my asterisk server to a Norstar 0x32 key system. The asterisk zaptel.conf file was configure as follows and this config worked for 6 months until friday. Nothing was changed on either system prior to friday. here is teh zaptel.conf span=1,0,0,esf,b8zs bchan=1-23 dchan=24 span=2,0,0,esf,b8zs bchan=25-47 dchan=48

I did manage to dv-tape this from the front row, and thus got pretty fair audio, but a slightly awkward camera angle. NYU Media Lab had a tripod set up at the back, and were apparently intending to webcast the results via real. They were a little taken aback when I mentioned Richard's aversion to propietary formats, and thanked me profusely for pointing it out, and saving them grief.