similar to: How to get the definition of a class?

Using: untrace(methods::conformMethod) at <- c(12,4,3,2) str(body(methods::conformMethod)[[at]]) ## language omittedSig <- omittedSig && (signature[omittedSig] != "missing") cc <- 0L trace(methods::conformMethod, tracer = quote({ cc <<- cc + 1L print(cc) if (cc == 31) { ## manually identified untrace(methods::conformMethod)

> On 28 Jun 2019, at 16:03 , Martin Maechler <maechler at stat.math.ethz.ch> wrote: > >>>>>> Henrik Bengtsson >>>>>> on Thu, 27 Jun 2019 16:00:39 -0700 writes: > >> Using: >> >> untrace(methods::conformMethod) >> at <- c(12,4,3,2) >> str(body(methods::conformMethod)[[at]]) >> ## language omittedSig

Hi, I am a Ph.D. student from Québec, Canada. I’m a beginner with R and Bioconductor. Until now the only experience I have is in analyzing microarray data using affy and limma packages. Now I am trying to analyze Rat Gene 10 st arrays and I would like to run RMA analysis and Smyth moderated t test on those arrays. Since no cdf official package is available for those arrays, after reading many

>>>>> Martin Maechler >>>>> on Sat, 29 Jun 2019 10:33:10 +0200 writes: >>>>> peter dalgaard >>>>> on Fri, 28 Jun 2019 16:20:03 +0200 writes: >> > On 28 Jun 2019, at 16:03 , Martin Maechler <maechler at stat.math.ethz.ch> wrote: >> > >> >>>>>> Henrik Bengtsson

Henrik, If a minimal reprex is hard to construct, could you perhaps instrument your version of R to include a browser() call at the start of the else if(!all(signature[omittedSig] == "missing")) { branch, run the code that triggers the issue for you (and must hit that branch) and tell us what the "signature" and "omittedSig" objects look like at that point?

I run checks with R-devel rev. 76756 on several of my packages which use S4, with no ill effects. With the risk of not adding much, it seems that Martin's example, which I repeat below, suggests a crossover between several "signatures" involved here - the signature of the generic, the signature of the method (the argument for setMethod()), and the signature of the function object

Hi, I have a BioC infra-structure package that works fine (I can build, check and load it successfully) on revision r53950. The very same package fails on r54591 with the error below: Error in loadNamespace(package, c(which.lib.loc, lib.loc), keep.source = keep.source) : cyclic name space dependency detected when loading ?oligoClasses?, already loading ?oligoClasses? I don't see anything

Thank you. To correct myself, I can indeed reproduce this with R --vanilla too. A reproducible example is: $ R --vanilla R version 3.6.0 Patched (2019-05-31 r76629) -- "Planting of a Tree" ... > Sys.setenv("_R_CHECK_LENGTH_1_LOGIC2_" = "true") > loadNamespace("oligo") Error in omittedSig && (signature[omittedSig] != "missing") :

**Maybe this bug needs to be understood further before applying the patch because patch is most likely also wrong** Because, from just looking at the expressions, I think neither the R 3.6.0 version: omittedSig <- omittedSig && (signature[omittedSig] != "missing") nor the patched version (I proposed): omittedSig <- omittedSig & (signature[omittedSig] !=

Dear all, I've noticed by trying to download gz files from here : https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM907811 At the bottom one can download GSM907811.CEL.gz . If I download this manually and try oligo::read.celfiles("GSM907811.CEL.gz") everything works fine. (oligo is a bioConductor package) However, if I download using download.file("

Dear Help, After loading the pd.Citrus library and checking the DataFrame, I ran > the R code for: > > 1) 'oligo' > > > > {> library(pd.citrus) > Loading required package: RSQLite > Loading required package: DBI > > data(pmSequence) > > > show(pmSequence) > DataFrame with 341730 rows and 2 columns > fid sequence > <integer>

DISCLAIMER: I can not get this error with R --vanilla, so it only occurs when some other package is also loaded. I don't have time to find to narrow that down for a reproducible example, but I believe the following error in R 3.6.0: > Sys.setenv("_R_CHECK_LENGTH_1_LOGIC2_" = "true") > library(oligo) Error in omittedSig && (signature[omittedSig] !=

I have recently upgraded to Ubuntu Gutsy and, for the first time, am using a 64-bit installation. After failing miserably to install R from source, not a problem for me in the past with a 32-bit install, I went the route of using the Debian Etch build. This went smoothly, but I am unable to update my numerous R and BioConductor packages, getting non-zero exit status errors on each package. Is

hello, if i load the RSQLite package in addition to the RPostgreSQL package, i get various errors when trying to use RPostgreSQL functions. here is an example transcript showing one such error: ========================================================== R version 2.15.0 (2012-03-30) [...] > packageVersion('RPostgreSQL') [1] 0.3.2 > packageVersion('RSQLite') [1] 0.11.1

>>>>> Henrik Bengtsson >>>>> on Thu, 27 Jun 2019 16:00:39 -0700 writes: > Using: > > untrace(methods::conformMethod) > at <- c(12,4,3,2) > str(body(methods::conformMethod)[[at]]) > ## language omittedSig <- omittedSig && (signature[omittedSig] != "missing") > cc <- 0L > trace(methods::conformMethod, tracer =

'?removeClass' shows that 'removeClass' is from package 'package:methods'. Is there a command which can show me all the functions and the classed defined in a package such as 'package:methods'?

Hello, I have a data frame consisting of four columns and would like to sort based on the first column and then write the sorted data frame to a file. > df <- read.table("file.txt", sep="\t") where file.txt is simply a tab-delimited file containing 4 columns of data (first 2 numeric, second 2 character). I then do, > df_ordered <- df[order(df$V1), ] OR,

Hello, this is probably something silly which I am doing, but I cannot understand why this allocation is not happening. Here is a my C code which tries to allocate a list of size 333559, and then a matrix of size 8*333559 I thought I might be running into memory problems, but R is not even using that much (I start R with more memory and it stays constant) Also, I start R as I normally do and I

Dear R Users, In the expresso function, which combination of these methods for data pre-processing (when using affymetrix oligo arrays) is the best: bgcorrect.metod = rma rma2 mas normalize.method = qspline quantiles loess pmcorrect.method = pmonly subtractmm mas summary.method = liwong avgdiff medianpolish mas There are many options within each method. I would appreciate a hint on the best

Hello R users, I am trying to make a my first package and I get an error that I can understand. The package is build out of three files (one for functions, 1 for s4 classes and 1 for s4 methods). Once I source them I run package.skeleton( name="TDC" ) within a R session and I get Creating directories ... Creating DESCRIPTION ... Creating Read-and-delete-me ... Saving functions and