Re: [R] rearrange set of items randomly

2011-11-08 Thread flokke
Thanks for the replies! Indeed, I could use order() instead of sample() but that it wouldnt be random anymore, as it sorts data points in increasing(!) order. Second, I have to use 1000 different samples. I got the hint that I have to do somethin with indeces, but still cant figure out what thi

Re: [R] rearrange set of items randomly

2011-11-08 Thread flokke
Sorry, but I dont think that I get what you mean (I am a quite new user though) I hae a data file of a sample, so I cannot use random numbers, the only thing I want to do is to randomly reassign the order of the items. -- View this message in context: http://r.789695.n4.nabble.com/rearrange-se

[R] rearrange set of items randomly

2011-11-07 Thread flokke
Dear all, I hope that this question is not too weird, I will try to explain it as good as I can. I have to write a function for a school project and one limitation is that I may not use the in built function sample() At one point in the function I would like to resample/rearrange the items of my

Re: [R] problem with merging two matrices

2011-11-03 Thread flokke
Thanks, that helps a lot! -- View this message in context: http://r.789695.n4.nabble.com/problem-with-merging-two-matrices-tp3983136p3988319.html Sent from the R help mailing list archive at Nabble.com. __ R-help@r-project.org mailing list https://stat

Re: [R] problem with merging two matrices

2011-11-03 Thread flokke
Dear Sarah, THanks for your answer! Sorry that my thread is somehow not clear, that's because I am not really experienced with R and dont know yet how to put thinings in words.. I am not trying to work with them differently, I am just trying to print them as the result of a function. But as the

[R] problem with merging two matrices

2011-11-03 Thread flokke
Dear all, I hope you can forgive me my stupid questions, but I am a very new R user (; So, this is my question: I have two matrices, those are: matrix1 <- matrix(cbind(vector1, vector2), 1,2, dimnames = list(c("values"), c("T valu

Re: [R] Function input for regression analysis

2011-10-31 Thread flokke
I know the lm() function, but I'd like to make my 'own' regression analysis by using matrix algebra. Thats why I wrote the function, but I dont know what values to pick to make it suitable for every dataset. If I pick a statistical model like lm(y~x) as input, the function would not know what o

[R] Function input for regression analysis

2011-10-31 Thread flokke
Dear all, I have a small question. I would like to write a function for a regression analysis that an be applied to every dataset. Now my problem is that I do not know what I have to implement then as input for the function mytest <- function (x,y) { beta <- sol

[R] Using predicted() in R

2011-10-24 Thread flokke
Dear all, I am a R user since about 3 weeks now and still struggeling with things that must be very easy for you... This week I am struggling with the function predict() I want to use this function to get a 95% interval. I understand that you have to use it in such a way as: lm_examplemodel<-

[R] matrix multiplication

2011-10-11 Thread flokke
Dear all, Sorry to bother you with such a stupid question, but I just cannot find the solution to my problem. I'd like to use matrix multiplication for meanA and factorial 3. I use the command meanA%*%factorial 3. But everything I get is: Error in factorial3 %*% A : non-conformable arguments I

[R] Creating the mean using algebra matrix

2011-10-11 Thread flokke
Dear all, I wanted to create the mean using a algebra matrix. so I tried this one: > meanAnimals <- new3%*%factorial (Calculates the matrix multiplication of the new3 * factorial). But I get the following error message: Error in new3 %*% factorial : non-conformable arguments These are my m

[R] Assigning factor names to interaction plot

2011-10-03 Thread flokke
Hi everyone, I have the following problem: I have three variables, 'group', 'city' and 'pressure' There is an interaction effect between group and city and I'd like to show this in an interaction plot: interaction.plot(group, city, pressure, type="b", col= c(1:2),