Hello,
Sorry to repeat myself, but I was wondering if anyone had taken a look at this.
Because of this problem, reference manuals are not being created for
many Bioconductor packages (any package where there is a \Sexpr in an
.Rd file).
Thanks in advance--we appreciate your help very much.
Dan
I've just uncovered an infelicity in as.difftime:
> as.difftime(diff(as.POSIXct(c('2012-12-12', '2012-12-13'))),
units='hours')
Time difference of 1 days
Is this a bug in the code or in my understanding?
Thanks again for all your hard work in making R the great produ
I just encountered another RTFM problem: With
diff(as.POSIXct(...), ...) I was unable to control the units of the
results. Examples:
> (d.d <- diff(as.POSIXct(c('2012-12-12', '2012-12-13'
Time difference of 1 days
> (d.h <- diff(as.POSIXct(c('2012-12-12 08:00', '2012-12-12 09:00'))
Hi,
R CMD check PACKAGE_VERSION_tar.gz gives warning:
Files not of a type allowed in a ‘data’ directory:
‘tser1.csv.bz2’ ‘tser2.csv.bz2’
Please use e.g. ‘inst/extdata’ for non-R data files
which I didn't expect, based on section 1.1.5 (Data in packages) of the
Writing R Extensions manual:
Tab
I would like to add a vote for keeping blank suffixes in merge(), as I
routinely use this functionality. An example use case:
# using R 2.14.1
# d1 is some data that I've been working on for a while
d1 <- data.frame(a=letters[1:10], b=1:10)
# d2 is some new data from a collaborator. I want to
R version 2.14.0, started with --vanilla
> table(c(1,2,3,4,NA), exclude=2, useNA='ifany')
134
1112
This came from a local user who wanted to remove one particular response
from some tables, but also wants to have NA always reported for data
checking purposes.
I do
Hi John,
Here's a somewhat streamlined version of the code:
Form2resfun <- function(f, params) {
stopifnot(inherits(f, "formula"), length(f) == 3)
# Create function body
body <- substitute(
crossprod(rhs - lhs), list(lhs = f[[2]], rhs = f[[3]])
)
# Create argument list
free_para
Dear all,
Today I figured out that the formula interface of plot.design is kind of
counter intuitive. Suppose the following setting
ddf <- expand.grid(a=factor(1:3), b=factor(1:3))
ddf$y <- rnorm(9)
plot.design(y ~ a + b, data=ddf)
which does what it should do, basically printing the means for t
