similar to: how to adjust link function in logistic regression to predict the proportion of correct responses in 2AFC task?

Dear R Gurus, I have a problem related to plot. For example, I have two variables, pre and post. pre <- c(1,2,3,4,5) post <- c(2,5,7,2,3) How can I plot a line graph similar to this one? http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=1847566&rendertype=figure&id=F1 Would you please provide me a keyword so that I can search. I don't know what is the name of this

In porting some Common LISP code to R, I am trying to found out whether special care must be taken for the let* function. In Common LISP, "the let* block is like let except it is guaranteed to evaluate the initialization of its local variables in sequentially nested scopes, i.e. it provides an order to the binding and visibility of preceding variables.". I have included the recursive

I would like to use R.oo and tcltk to implement a Turtle World. I have encountered many problems because: 1) I am not sure how to implement static fields with R.oo 2) I am not sure how to implement a constructor that would call a function only for the first instance of a class (i.e., to initialize value of static fields only once) 3) I am not sure how to remove/delete cleanly existing

Dear all, I have an implementation of streams in R. The current implementation of delay() and force() is inspired from the LISP implementation found in Part VI "Languages for AI problem solving" of "Artificial Intelligence" by G. Luger. I have tested it with the Fibonacci example in the same book (see examples below). It works but I do run into a problem when I try to

Hi Martin, Thanks for your reply. I am responding on r-devel to provide some examples of outputs of the function that I had list in the post-scriptum of my previous email (BTW, did my post went through the list? I subscribed only after mailing it). You wrote: >Just to ask the obvious: > > Why is using str() not sufficient for you and instead, > you use 'print.object'

These patches better implement ArtProvider and add the demo for it. I also expanded the bigdemo window a little bit. I really think we should go larger but I suppose there might be some people at 800x600 still. Note that creating your own art provider still doesn''t quite work correctly. I didn''t have time to get into that. The RubyConstants.i.patch file looks weird. Not

I would greatly appreciate some idea about the best approach to make a graphical interface of for a turtle world in R. In the turtle environment, the user controls movements of a turtle through the command line (e.g. forward(10), turn(5), etc.). The turtle should be displayed in the new position and heading after each command. Also, the turtle's path and, possibly, objects (squares,

Hi, I wish to analyze with R the results of a perception experiment in which subjects had to recognize each stimulus among three choices (this was a forced-choice design). The experiment runs under two different conditions and the data is like the following: N1 : count of trials in condition 1 p11, p12, p13: proportions of choices 1, 2, and 3 in condition 1 N2 : count of trials in

Hello group, my question is deciding what test would be appropriate for following question. An experiment 'A' yielded 3200 observations of which 431 are significant. Similarly, using same method, another experiment 'B' on a different population yielded 2541 observations of which 260 are significant. There are 180 observations that are common between significant observations of A

Dear list-members, I have made a logistic regression analysis of the spatial distribution of an ecological phenomenon (wildlife-caused crop damage). I divided the region into 5x5 km grids, and in each grid I have performed a number of questionnaires to asses the presence of crop damage in particular houses. As a result, my dependent variable is not a simple presence/ absence data but a

Dear all, I have 3 models (from simple to complex) and I want to compare them in order to see if they fit equally well or not. From the R prompt I am not able to see where I can get this information. Let´s do an example: fit1<- lm(response ~ stimulus + condition + stimulus:condition, data=scrd) #EQUIVALE A lm(response ~ stimulus*condition, data=scrd) fit2<- lm(response ~ stimulus +

Hi everyone, I've been bashing my head against this for days now, and can't figure out what to do. I have the following dataframe header appetitive stimulus aversive stimulus chaining contingency discriminative stimulus extinction intermittent reinforcement negative reinforcer operant response place learning positive reinforcer punishment reinforcement

Hello everybody, I need an help because I don´t know if the command for the ANOVA analysis I am performing in R is correct. Indeed using the function aov I get the following error:"In aov (......) Error() model is singular" The structure of my table is the following: subject, stimulus, condition, sex, response Example: subject stimulus condition sex response

Dear all, I have tried to use R for the repeated measures experiment design in a phonetic study, and in the resulting forms I met some problems which perturb the final interpretation of the results. I will explain the experiment design first: the same 7 subjects were answering a question about 25 linguistic stimuli; the stimuli were the same utterances which were processed in 3 different ways (3

Dear all, I have got two vectors coding for a stimulus presented in the current trial (mydat$Stimulus) and a prediction in the same trial (mydat$Prediciton), respectively. By applying an if-conditional I want to create a new vector that indicates if there is a match between both vectors in the same trial. That is, if the prediction equals the stimulus. When I pick out some trials randomly, I get

Dear All, I have a problem in understanding how the interactions of 2 ways ANOVA work, because I get conflicting results from a t-test and an anova. For most of you my problem is very simple I am sure. I need an help with an example, looking at one table I am analyzing. The table is in attachment and can be imported in R by means of this command: scrd<-

Dear all, I need an help because I don´t know how to perform the analysis in the right way, as I get different beheaviors using t-test and two ways ANOVA. In what follow I post the table, my goal and the strange results I got. I kindly ask you an help because I really don´t know how to solve this problem. So the table is this: number stimulus condition response 1

Dear all, I need to understand a thing in the beheaviour of the two functions aov and anova in the following case involving an analysis of ANOVA with repeated measures: If I use the folowing command I don´t get any problem: >aov1 = aov(response ~ stimulus*condition + Error(subject/(stimulus*condition)), >data=scrd) > summary(aov1) Instead if I try to fit the same model for the

Dear all, how can I perform a post hoc analysis for ANOVA with repeated measures (in presence of a balanced design)? I am not able to find a good example over internet in R...is there among you someone so kind to give me an hint with a R example please? For example, the aov result of my analysis says that there is a statistical difference between stimuli (there are 7 different stimuli). ...I

Dear Colleagues, I hope to know how ordinal logistic regression with a mixed model is made in R. We (My colleague and I) are studying the behavior of a beetle. The attraction of beetles to a stimulus are recorded: the response is Slow, Mid, or Fast. They are based on the time after the presentation of the stimulus to the beetles. Because we do not observe the behavior continuously but do