Re: [R] Predicted values from glm() when linear predictor is NA.

2022-07-28 Thread John Fox
Dear Jeff, On 2022-07-28 11:12 a.m., Jeff Newmiller wrote: No, in this case I think I needed the "obvious" breakdown. Still digesting, though... I would prefer that if an arbitrary selection had been made that it be explicit .. the NA should be replaced with zero if the singular.ok argument

Re: [R] Predicted values from glm() when linear predictor is NA.

2022-07-28 Thread Jeff Newmiller
No, in this case I think I needed the "obvious" breakdown. Still digesting, though... I would prefer that if an arbitrary selection had been made that it be explicit .. the NA should be replaced with zero if the singular.ok argument is TRUE, rather than making that interpretation in

Re: [R] Error generated by nlme::gnls

2022-07-28 Thread Martin Maechler
> Bill Dunlap > on Sun, 24 Jul 2022 08:51:09 -0700 writes: > I think the intent of this code was to see if the formula > had solely a literal 1 on the right hand side. Then > !identical(pp[[3]], 1) would do it, avoiding the overhead > of calling deparse. Note that

Re: [R] Predicted values from glm() when linear predictor is NA.

2022-07-28 Thread John Fox
Dear Jeff, On 2022-07-28 1:31 a.m., Jeff Newmiller wrote: But "disappearing" is not what NA is supposed to do normally. Why is it being treated that way here? NA has a different meaning here than in data. By default, in glm() the argument singular.ok is TRUE, and so estimates are provided

Re: [R] Parsing XML?

2022-07-28 Thread Spencer Graves
Hi, Richard et al.: On 7/28/22 1:50 AM, Richard O'Keefe wrote: What do you mean by "a list that I can understand"? A quick tally of the number of XML elements by identifier: 1 echoedSearchRetrieveRequest 1 frbrGrouping 1 maximumRecords 1 nextRecordPosition 1 numberOfRecords 1 query 1 records 1

Re: [R] Need to insert various rows of data from a data frame after particular rows from another dataframe

2022-07-28 Thread Richard O'Keefe
I'm retired, and I had an hour on my hands while tea cooked and my granddaughter did her homework, and I just *love* showing off how helpful I am. Good news: someone finally looked at your data. (That would be me.) Bad news: it's going to be a lot of work to do what you want to, and YOU