similar to: something wrong in package submission procedure/website

Quite possibly, I should keep my big mouth shut and let the CRAN'ers answer this, but at face value, you submit a new version and are asked to confirm that problems with the previous version are fixed; isn't that as it should be? -pd On 08 Feb 2016, at 16:10 , Paul Johnson <pauljohn32 at gmail.com> wrote: > Yesterday I uploaded new rockchalk_1.8.97. Then I received email >

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. The version I uploaded last Friday, 1.8.109, has OK status on all platforms except r-release-windows-ix86+x86_64. I get OK on oldrel-windows and also on devel-windows.

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

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(),

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

>>>>> 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.

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

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

>>>>> 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 >>

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

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

Greetings. I'm teaching linear regression this semester and that means I write more functions for my regression support package "rockchalk". I'm at a point now were some fresh eyes would help, so if you are a student in a course on regression, please consider looking over my package overview document here: http://pj.freefaculty.org/R/rockchalk.pdf That tells how you can grab

Hi, I am performing meta-regression using linear mixed-effect model with the lme() function that has two fixed effect variables;one as a log transformed variable (x) and one as factor (y) variable, and two nested random intercept terms. I want to save the predicted values from that model and show the log curve in a plot ; predicted~log(x) mod<-lme(B~log(x)+as.factor(y),

Dear R friends I wanted a function to make a simple percent table that would be easy for students to use. The goal originally was to have a simple thing people would call like this pctable(rowvar, colvar, data) and the things "rowvar" and "colvar" might be names of variables in data. I wanted to avoid the usage of "with" (as we now see in the table help). Then

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 > values. So the function levels() actually displays the labels. > Dear Joris I think we agree. Currently, factor insists both levels and labels be unique. I wish that it would

> On Mar 31, 2016, at 1:00 PM, Paul Johnson <pauljohn32 at gmail.com> wrote: > > 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

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