similar to: the IPSUR package

IPSUR-1.0 is making its way through CRAN. It is a snapshot of the development version of the following textbook: Title: Introduction to Probability and Statistics using R, First Edition ISBN: 978-0-557-24979-4 Publisher: me The book is targeted for an undergraduate course in probability and statistics. The prerequisites are a couple semesters of calculus and a little bit of linear algebra. I

IPSUR-1.0 is making its way through CRAN. It is a snapshot of the development version of the following textbook: Title: Introduction to Probability and Statistics using R, First Edition ISBN: 978-0-557-24979-4 Publisher: me The book is targeted for an undergraduate course in probability and statistics. The prerequisites are a couple semesters of calculus and a little bit of linear algebra. I

Thanks to Jay Kerns and Jim Lemon for their help. It's exactly what I wanted and "aggregate" is very efficient even with a huge data. Thanks "G. Jay Kerns" <gkerns@ysu.edu> a écrit : Hi Louis, If I am understanding your question correctly, here is one way: suppose your matrix is M of dimension n x k. D <- data.frame(M) # convert to data frame ones <- rep(1,

Hello, I have been interested in setdiff() for data frames that operates row-wise. I looked in the documentation, mailing lists, etc., and didn't find exactly the right thing. Given data frames A, B with the same columns, the goal is to extract the rows that are in A, but not in B. Of course, one can usually do setdiff(rownames(A), rownames(B)) but that is cheating. :-) I played around a

Dear R-help, Suppose I write a script that looks something like this: #### script.R set.seed(something) x <- rnorm(100) y <- runif(500) # bunch of other stuff save.image() ### end of script.R Now, I give you a copy of my script.R (with the set.seed statement removed, of course) together with the .RData file that was generated by the save.image() command. Question: 1) can you tell

Dear R Community, I am pleased to announce the beta-release of the prob package. The source code is now on CRAN, and binaries should be generated there before long. In the meantime, you can get it with install.packages("prob", repos = "http://r-forge.r-project.org") The prob package gives a framework for doing elementary probability on finite sample spaces in R. The

Dear R Community, I am pleased to announce the beta-release of the prob package. The source code is now on CRAN, and binaries should be generated there before long. In the meantime, you can get it with install.packages("prob", repos = "http://r-forge.r-project.org") The prob package gives a framework for doing elementary probability on finite sample spaces in R. The

Hello, This is in response to a post from a couple of years back regarding Kaiser-Meyer-Olkin Measures of Sampling Adequacy. (http://tolstoy.newcastle.edu.au/R/help/05/12/17233.html) As it turns out, last year Trujillo-Ortiz et al. at the Universidad Autonoma de Baja California wrote and posted a script for MATLAB that does the job. You can see it (with a discussion of KMO statistics) at

Dear R-Devel, I have had it in my mind for some time now that a Task View related to R and education might be a good thing. There are currently 19 Task Views, covering a broad spectrum of general topics for which R may be used. The homepage lists 64 books related to R, and several of them have accompanying packages on CRAN. There is a wiki and a host of contributed documentation. We also have a

Dear R-SIG-Debian, > > a) You still haven't explained why you need to rebuild it when > ? ? ? sudo apt-get install r-cran-rgl > ? gets you a binary I do not want to answer for the OP, but for myself, two things: 1) I maintain a personal library in my HOME folder - for a few reasons - and one of the benefits is that I can install/update R packages without needing to run R as

Dear R-devel, Please see the recent thread on R-help, "Odd Behavior Out of setdiff(...) - addition of duplicate entries is not identified" posted by Jason Rupert. I gave an answer, then read David Winsemius' answer, and then did some follow-up investigation. I would like to change my answer. My current version of setdiff() is acting in a way that I do not understand, and a way

Dear R-devel, Please see the recent thread on R-help, "Odd Behavior Out of setdiff(...) - addition of duplicate entries is not identified" posted by Jason Rupert. I gave an answer, then read David Winsemius' answer, and then did some follow-up investigation. I would like to change my answer. My current version of setdiff() is acting in a way that I do not understand, and a way

Dear R-help, I first thought that the empty set (for a vector) would be NULL. x <- c() x However, the documentation seems to make clear that there _many_ empty sets depending on the vector's mode, namely, numeric(0), character(0), logical(0), etc. This is borne out by y <- letters[1:3] z <- letters[4:6] intersect(y,z) which, of course, is non-NULL: is.null(character(0)) #

Dear All, The latest version of IPSUR (last one for awhile) is now available on CRAN. What's New in 0.1-1: 1. Important bug fixes 2. Test of equality for several proportions... 3. Enter table for single proportion test... 4. Enter table for multiple proportions test... 5. Bar graph plot by groups (stacked and side-by side) 6. Enter table for bar graphs... Visit the IPSUR website for the

From R-help ... >I notice that you have the IPSUR package loaded; you know, just a >shot in the dark here, but did you try not loading it? > >I ask because the vignette is built by making a special choice for >set.seed, and the workspace that ships with the package might be >interacting in an unexpected way. Is it possible that a package can save a set seed and have the effect

Hi, I have this problem: X is hazardous variable N(mean 2, sd=3) >>question 1) Find the c value, so that P(X>c)=0.10. using R >>question 2) Graph the function N(2,3) and with this graph, explain what you do in question number 1. I just found question number one but not the second one. So, I'd like to make a plot form this distribution N (2,3) using the functions plot and

WinXP, R 2.10.1 I just updated R, and now have trouble. Perhaps it was the method I used to keep all the packages. I copied all the new packages from 2.10.1 back into the 2.10.0 folder, then copied them and all the others I've previously added from the 2.10.0 folder and pasted them back into 2.10.1's appropriate folder. Is this the source of my troubles? I am trying unsuccessfully to

Hello guys, I am stuck here: How do I make 1000 samples of n = 10 observations from an Exponential distribution and then compute the mean for all those 1000 samples? Basically I need to prove the Central Limit theorem, which states: http://www.nabble.com/file/p22664113/d175f06cbf200bd52a2c27a2e56dc594.png Where the Sn is sum of random variables, n we have from the question, mu is mean and

I think I am using the improved version of setdiff(...) that handles data.frames, so I think some odd behavior was expected but this one is escaping me. It appears that the the addition of duplicate entries is not caught by the setdiff(...). Is this expected behavior? If so, is there another method or approach that should be used to identify duplicate row entries between two different data

Hello everybody :-) I have some data that I want to model with a logistic regression, most of the independent variables are numeric and the only dependent is categorical, I was thinking that I could apply a logistic regression using glm but I wanted to deepen my knowledge of this so I tried to do some reading and found the "iris" dataset, now I would like to ask two things, first