Here are various things that I have been accumulating concerning
R0.62.3 in attempting to debug my libraries, as compared to 0.62.1.
I have already reported some of them before.
Apparently no one is using my libraries as I have not received a
single bug report.  Jim

R0.62.3

 0. configure does not work properly if f77 or fort77 is a script
    front end for f2c
 1. 2-level factor variables have no label in glm()
 2. meaningless P-values and stars by default in summary(glm())
    (see John Nelder's recent `A Statistical Scandal' on Allstat)
 3. options changed in data.frame() (such as as.is= )
 4. seq(5,20,by=4) does not work properly
 5. NULL==1 *now* gives an error instead of FALSE
    e.g. if(class(z)=="repeated") when z has no class
 6. is.factor(c(gl(2,2),gl(2,2))) gives FALSE and a lot of other
    annoying `features' with factor variables
 7. if resp is a dataframe, cbind(resp[,1:1],resp[,5:6]) no longer works
    but cbind(resp[,1:2],resp[,5:6]) does;
    *now* requires cbind(resp[,1:1,drop=F],resp[,5:6])
 8. logical weights no longer work in glm() with a dataframe:
    there is some comparison in which they are taken as a factor variable
    y <- rnorm(20)
    wt <- rep(T,20)
    df <- data.frame(y,wt)
    glm(y~1,weights=wt)  works but not
    glm(y~1,weights=wt,data=df)
    Error: "<" not meaningful for factors
    probably related to point 6 above
 9. offset= option in glm() no longer works if there are NAs
10. y~x+(x>0) works but y~x*(x>0) *now* gives a parse error
11. Error: heap memory (5120Kb) exhausted
    with 4773k bytes of heap free (93%) from gc()
    Mainly occurs in functions involving a for() loop around calls
    to glm(), tapply(), and data.frame() (e.g. EM algorithm in my glmm
    and coxre functions) Did not occur in 0.62.1
12. gc() has to be used *twice* between functions calls with big data
    sets to free memory (already reported in previous versions)
13. the fact that a batch job stops when there is an error is
    extremely annoying and time wasting; there should at least be an
    option to set the level of tolerance to such errors
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