similar to: package check fail on Windows-release only?

>>>>> Paul Johnson <pauljohn32 at gmail.com> >>>>> on Mon, 20 Nov 2017 14:59:26 -0600 writes: > I mistakenly left a write in "/tmp" in the rockchalk package (version > 1.8.109) that I uploaded last Friday. Kurt H wrote and asked me to fix > today. > While uploading a new one, I became aware of a problem I had not seen.

Hello, I am working with a sparse matrix that is approx. 13,900 by 14,100. My goal is to select a row out of the matrix and create a new matrix with that row repeated 13,900 times without having to do any looping. Example: Starting Matrix: exampleMatrix 3 x 4 sparse Matrix of class "dgCMatrix" [1,] 1 . . . [2,] . 1 . 0.5 [3,] . . 1 .. New Matrix:.. newExampleMatrix 3 x 4 sparse

Yesterday I uploaded new rockchalk_1.8.97. Then I received email saying that I needed to confirm the submission. Here's the message. Dear Paul E. Johnson Someone has submitted the package rockchalk to CRAN. You are receiving this email to confirm the submission as the maintainer of this package. To confirm the submission to CRAN, follow or copy & paste the following link into your

I set up a local repo for testing packages. My packages are not showing up from the repository when viewed by Linux clients. I suspect this is a web administrator/firewall issue, but it could be I created the repo wrongly. I am supposed to run write_PACKAGES separately in each R-version folder. Right? Maybe other novices can use these scripts, if they are not wrong :) Here's the file

On 7/28/2015 1:32 PM, Uwe Ligges wrote: > Just add the line > > R_LIBS_SITE=F:/R/library > > to the file R_HOME/etc/x64/Renviron.site Thanks, Uwe I have no way to test this and our IT people who do the installation know nothing of R, so follow-up questions: * There is no R_HOME/etc/x64/Renviron.site file, but there is a R_HOME/etc/Rprofile.site I can modify and ask them to

Hi, I'd like to reshape a sparse matrix generated from the Matrix package. I can't seem to do it with the command dim(A) <- c(6,9) which works perfectly with the base package matrices, but with the sparse matrices it errors with Error in dim(A) = c(6, 9) : dim<- : invalid first argument Manipulating the Dim attribute of the sparse Matrix does not produce the desired effect. A

To extwnd on Martin 's explanation : In factor(), levels are the unique input values and labels the unique output values. So the function levels() actually displays the labels. Cheers Joris On 15 Jun 2017 17:15, "Martin Maechler" <maechler at stat.math.ethz.ch> wrote: >>>>> Paul Johnson <pauljohn32 at gmail.com> >>>>> on Wed, 14 Jun

I'm the faculty member in my department who advises our IT staff on the details of installing R for students and faculty on our Windows 7 lab network. We are about to upgrade from R 3.1.1 to R 3.2.1, and once that is done, this version of R and all installed packages will be frozen in the image that appears in C:/Program Files/R/R-3.2.1/ on every lab computer, and this image is refreshed

In the rockchalk package, I want to provide functions for regression objects that are "well behaved." If an object responds to the methods that lm or glm objects can handle, like coef(), nobs(), and summary(), I want to be able to handle the same thing. It is more difficult than expected to ask a given fitted model object "do you respond to these functions: coef(), nobs(),

Hi, I have sparse (tridiagonal) matrices, and I use the Matrix package for handling them. For certain computations, I need to either set the first row to zero, or double the last row. I find that neither operation preserves sparsity, eg > m <- Diagonal(5) > m 5 x 5 diagonal matrix of class "ddiMatrix" [,1] [,2] [,3] [,4] [,5] [1,] 1 . . . . [2,] . 1

>>>>> Paul Johnson <pauljohn32 at gmail.com> >>>>> on Fri, 16 Jun 2017 11:02:34 -0500 writes: > On Fri, Jun 16, 2017 at 2:35 AM, Joris Meys <jorismeys at gmail.com> wrote: >> To extwnd on Martin 's explanation : >> >> In factor(), levels are the unique input values and labels the unique output >>

> On Apr 15, 2016, at 1:16 AM, Akhilesh Singh <akhileshsingh.igkv at gmail.com> wrote: > > Dear All, > > Thanks for your help. However, I would like to draw your attention to the > following: > > Actually, I was replicating the Example 2.3, using the dataset > "brainsize.txt" given in Section 2.3.3 ("Summarize by group") at page 55, > of a

I'm pasting below a working R file featuring a function I'd like to polish up. I'm teaching regression this semester and every time I come to something that is very difficult to explain in class, I try to simplify it by writing an R function (eventually into my package "rockchalk"). Students have a difficult time with predict and newdata objects, so right now I'm

Hmm, the danger in this is that duplicated factor levels _used_ to be allowed (i.e. multiple codes with the same level). Disallowing it is what broke read.spss() on some files, because SPSS's concept of value labels is not 1-to-1 with factors. Reallowing it with different semantics could be premature. I mean, if we hadn't had the "forbidden" step, read.spss() could have changed

Dear All, I have got your core message, that it is my responsibility to determine whether any particular function in my version of R satisfies the language requirements at the time of your use. Jim Albert and Maria Rizzo must have used their code, which was permitted in the R-code of their time (2012). Therefore, I have now modified my R-code, as per R-3..2.4 version, according to my requirement

Just stating, in 'ifelse', 'test' is not recycled. As I said in "R-intro: length of 'ifelse' result" (https://stat.ethz.ch/pipermail/r-devel/2016-September/073136.html), ifelse(condition, a, b) returns a vector of the length of 'condition', even if 'a' or 'b' is longer. On current 'ifelse' code in R: * The part ans[nas] <- NA

> On Apr 16, 2016, at 2:03 AM, Akhilesh Singh <akhileshsingh.igkv at gmail.com> wrote: > > Dear All, > > I have got your core message, that it is my responsibility to determine whether any particular function in my version of R satisfies the language requirements at the time of your use. Jim Albert and Maria Rizzo must have used their code, which was permitted in the R-code

I have been making simple functions to display regressions in a new package called "rockchalk". For 3d illustrations, my functions use persp, and I've grown to like working with it. As an example of the kind of things I like to do, you might consult my lecture on multicollinearity, which is by far the most detailed illustration I've prepared.

I suppose everybody who makes a package for the first time thinks "I can change anything!" and then runs into this same question. Has anybody written out information on how a package can override functions in R base in the R 2.14 (mandatory NAMESPACE era)? Suppose I want to alphabetize variables in a summary.data.frame, or return the standard deviation with the mean in summary output.

Hello, I am trying to obtain the partial r-square values (r^2 or R2) for individual predictors of an outcome variable in multiple linear regression. I am using the 'lm' function to calculate the beta coefficients, however, I would like to know the individual % contributions of several indepenent variables. I tried searching for this function in many R packages, but it has proven elusive