search for: grately

I want to make a picture of a cos wave grating (pattern of fuzzy stripes). First I try to make a plot of a cos wave: x<-seq(1:100) y<- 10*cos(2*pi*x*3/length(x)+0)+300 plot(x,y) That works fine. 3 cycles of cos wave. Now try for grating. time<-seq(1:100) f<-function(x,time) 10*cos(2*pi*x*3/length(x)+0)+300 z<-outer(x,time,f) image(x,time,z) I get a vertical grating as expected, BUT

Hi, I have a dataset with the binary outcome Y(0,1) and 4 covariates (X1,X@,X#,X$). I am trying to use MCMClogit to model logistic regression using MCMC. I am getting an error where it doesnt identify the covariates ,although its reading in correctly. The dataset is a sample of actual dataset. Below is my code: > ####################### > > > #retreive data > # considering four

Hello How do I use function 'MERGE" to combine the FILE A and FILE B below to make FILE C? Thank you FILE A 140 151 167 30.1 11.4 40 FILE B 140 167 5.7 30.3 FILE C 140 151 167 30.1 11.4 40 5.7 NA 30.3

I need to implement a solution and not having ever used anything but MS Project I would be grateful for a reco on something good. The only hope would be that its web based but I am open to anything! Thanks! jlc

Hi, The data (attached) I am looking at consists of measurements of growth rate at different ages, for individuals in two treatments (control and infected). What I want to know is whether and when (what age) the growth rate of infected individuals is higher than the growth rate for control individuals. The simplest way to approach this question is to just do a t-test at each age, but because

Dear Friends, I do require centos 4.2 x86_64 cds here in delhi,India. If anyone of you can arrange that for me i will be vary grateful. The requirement is urgent. Thanks for your time and effort. -- Regards Abhishek Jain -------------------------------------------------------------------- mail2web - Check your email from the web at http://mail2web.com/ .

Hi, I attempted to ugprade glibc & glibc-devel and ended up removing them entirely by accident. *idiot* What are the steps needed to get glibc back onto my system. Absolutely nothing is working at the moment, rpm, yum, etc. I presume I'm going to have to boot from a rescue CD of some kind. If someone could outline how to do this, or point me to some docs I would be most grateful.

On 18/04/16 20:09, Alexsandro Oliveira wrote: > Thanks Rowland > > Just one more 3 questions: > > 1 - I do not need to stop the samba before running the make command? No, you only need to stop Samba before you run 'make install', it is at this point your Samba binaries etc will be replaced. > 2 - The command sequence are below are the same right? > > ./configure

Hi Folks, I'd be grateful for good suggestions about the following. I'm plotting a family of (X,Y) curves (for different levels of another variable, Z): say 6 curves in all but could be more or less -- it's a rather variables situation. I'd like to label each curve with the value of Z that it corresponds to. The problem is that the layout (shapes, spacings, ranges of X over

Hi all, I'm working on a seemingly trivial problem that I can't figure out how to implement in R. I'd be most grateful for any help here. I want to do the following: first, randomly assign each of n units to one of g groups of size n/g. Then, randomly re-assign each of the n units to a different group (i.e., same as the first step, but the unit can't be assigned to a group to

On Tue, 01 Oct 2013 06:10:46 -0600 Eric Blake <eblake@redhat.com> wrote: > On 10/01/2013 06:04 AM, James Gibbon wrote: > > > > > > Hello all, > > > > I have a KVM guest VM which is a clone of a production machine > > running on a different physical server, incarnated from an > > image backup. > > Careful. You need to scrub more than

Hello all, I know this question is (strictly speaking) off topic, but if someone could at least point me in the right direction, I would be most grateful. I have an older system (RH 6.2, overdue for upgrade) with an ext2 partition that was pushing 99% filled. I did some space recovery and I have it down to around 90% utilization now. I have rebooted the unit, and brought it up single-user

R-listers, I am using xts with a yearmon index, but am getting some inconsistent results with the date index when i drop observations (for example by using na.omit). The issue is illustrated in the example below. If I start with a monthly zooreg series starting in 2009, yearmon converts this to "Dec-2008". Not such a worry for my example, but strange. Having converted to xts, i drop

tagtools and acts_as_taggable are both folksonomy tools for rails,any one who has used them both and can give a compare between them? Grateful! -- Posted via http://www.ruby-forum.com/.

Hi, I''m building an application which is going to require quite fine grained access control. Deciding if a user is allowed to access an action will probably require checking quite number of different rules, so a simple role-based system won''t be flexible enough. The approach I think I will try first is, if it''s possible, to ignore permission issues inside the

I would be grateful if members of the list could point me in the direction of any code (preferably in R) that will allow me to estimate 95th percentiles from a set of repeated measurements. For example, we are interested in a clinical measurement where we have 3 measures for 14 subjects and 2 measurements on 24 subjects and single measurement on 36 subjects. We want to combine these to form a

Hi All, simple question: do you know how to graph the following object/matrix in a 'surface manner': [,1] [,2] [,3] [,4] [,5] [,6] [1,] -0.154 -0.065 0.129 0.637 0.780 0.221 [2,] 0.236 0.580 0.448 0.729 0.859 0.475 [3,] 0.401 0.506 0.310 0.650 0.822 0.448 [4,] 0.548 0.625 0.883 0.825 0.945 0.637 [5,] 0.544 0.746 0.823 0.877 0.861 0.642 [6,] 0.262 0.399

Hello fellow Rers, I have a no-doubt simple question which is turning into a headache so would be grateful for any help. I want to do a principal components analysis directly on a correlation matrix object rather than inputting the raw data (and specifying cor = TRUE or the like). The reason behind this is I need to use polychoric correlation coefficients calculated with John Fox's

Hi I am really struggling with changing my factors into continuous variables. There is plenty of information on changing continuous to a factor which is the opposite of what i need to do. I would be soooooo grateful for any help Thanks Joe -- View this message in context: http://www.nabble.com/Factor-to-continuous-tp23020769p23020769.html Sent from the R help mailing list archive at

Hi, this is probably a very basic question but I'm just learning R and i cannot find a function to standardize a data matrix.. I'll be grateful for any tips or help you can provide me. Thank you very much!