similar to: new version IPSUR_0.1-1 now available on CRAN

Displaying 20 results from an estimated 8000 matches similar to: "new version IPSUR_0.1-1 now available on CRAN"

2006 Sep 25
0
the IPSUR package
Dear useRs, We are pleased to announce the preliminary release of the IPSUR package. The primary audience was originally envisioned to be upper division undergraduate mathematics/statistics/engineering majors, but other useRs may find this material useful. In a nutshell, this package slightly modifies and adds selected functionality to the R Commander by John Fox. The changes were meant to
2006 Sep 25
0
the IPSUR package
Dear useRs, We are pleased to announce the preliminary release of the IPSUR package. The primary audience was originally envisioned to be upper division undergraduate mathematics/statistics/engineering majors, but other useRs may find this material useful. In a nutshell, this package slightly modifies and adds selected functionality to the R Commander by John Fox. The changes were meant to
2010 Jul 28
0
IPSUR-1.0 is on CRAN, plus update to RcmdrPlugin.IPSUR
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
2010 Jul 28
0
IPSUR-1.0 is on CRAN, plus update to RcmdrPlugin.IPSUR
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
2008 Jan 10
0
prob package: elementary probability on finite sample spaces
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
2008 Jan 10
0
prob package: elementary probability on finite sample spaces
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
2008 Jul 04
1
education task view
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
2007 Dec 10
1
setdiff for data frames
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
2007 Dec 23
0
RE : Re: number of count of each unique row
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,
2009 May 14
2
can you tell what .Random.seed *was*?
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
2010 Oct 12
1
FW: [R] same random numbers in different sessions
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
2007 Aug 06
0
KMO sampling adequacy and SPSS -- partial solution
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
2009 May 30
3
setdiff bizarre (was: odd behavior out of setdiff)
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
2009 May 30
3
setdiff bizarre (was: odd behavior out of setdiff)
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
2008 Nov 24
14
how to test for the empty set
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)) #
2009 May 07
1
build dependencies was Re: [R] problem with rgl package
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
2010 Feb 02
3
Update problem? Rcmdr disappears, won't re-open
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
2008 Sep 11
2
Plot qnorm
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
2009 Mar 23
3
How to set up a function for "Central Limit Theorem"
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
2008 Aug 20
3
Writing Rcmdr Plugins
Dear all, I am trying to write a plugin for the RCommander and having troubles understanding how to actually do that. I have read Mr. Fox's tutorial about writing Rcmdr plugins and though.... it seems to me that some steps are missing. I would like to know, whether there are some Commands which generate a plugin package out of a given library. Or do we just have to attach the .First.lib