similar to: rockchalk_1.5.4 posted

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

I would like to ask for advice from R experts about the benefits or dangers of using attr to return information with an object that is returned from a function. I have a feeling as though I have cheated by using attributes, and wonder if I've done something fishy. Maybe I mean to ask, where is the dividing line between attributes and instance variables? The separation is not clear in my mind

>>>>> 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 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.

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

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

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 >

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

Greetings, R developers Here are my requests today. 1. Would you care to review this vignette http://pj.freefaculty.org/R/Rchaeology.pdf and tell me if you think it is wrong headed, and 2. Supposing you do not think I'm completely wrong, would you care to point me at more examples of R idioms that lead to deep insights into the nature of R programming? Longer more boring explanation: In

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

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(),

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

>>>>> Martin Maechler <maechler at stat.math.ethz.ch> >>>>> on Thu, 22 Jun 2017 11:43:59 +0200 writes: >>>>> 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

>>>>> 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 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.

On 23.06.2017 11:51, peter dalgaard wrote: > 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

Stephen, thanks for your effort. The more appropriate list for this discussion is probably R-devel (as far as I understand it) so I've moved the discussion there. Related topics have already been discussed in the past. Specifically, I remember contributions by Paul Johnson ("rockchalk" package) and John Fox ("effects" and "car" package) as their packages

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.

Hello! I have problem with mediation analysis. I can do it with function mediate, when I have one mediator. But how I can do it if I have one independent variable and one dependent variable but 4 mediators? I have try function mediations, but it dosen't work. If I use mediate 4 times, each for every mediator, is it same? I want to know what is total mediate effect for 4 mediators. t.Mete