similar to: recursive data-structures in R - An S4 "node" Class

Dear listmembers, I would like to define a class with a slot that takes either an object of class aov or NULL. I have been reading "S4 Classes in 15 pages more or less" and "Lecture: S4 classes and methods" #First I tried with list and NULL setClass(listOrNULL") setIs("list", "listOrNULL") setIs("NULL", "listOrNULL") #doesn't

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Can somebody please take a look at this and tell me whats going wrong? It seems to be parsing wronly around the 'if' statement and gives me a directory listing. Thanks in advance Tom N.B. datan is an invented dataset xvals<-c(1,0.4,0.2) datan<-data.frame(s1=c(3,4,5),s2=c(5,5,5),s3=c(21,55,34),s4=c(5,3,2)) datan$sint<-NA datan$sgrad<-NA for(icount in 1:dim(datan)[1]) {

I'm trying to run e2fsck on a ~6TB filesystem which is about 90% full. We're doing backup to disk to this filesystem, and have a number of hard links (link counts up to 90). strace shows: write(1, "Pass 2: Checking ", 17) = 17 write(1, "directory", 9) = 9 write(1, " structure\n", 11) = 11 mmap(NULL, 91574272,

Hi, It seems that new("externalptr") is always returning the same instance, and not a new one as one would expect from a call to new(). Of course this is hard to observe: > new("externalptr") <pointer: (nil)> > new("externalptr") <pointer: (nil)> since not a lot of details are displayed. For example, it's easy to see that 2

Hello Folks, I have 5 columns for thousands of tree records that record whether that tree was alive or dead. I want to recode the columns such that the cell reads "found" when a live tree is first observed, "alive" for when a tree is found alive and is not just found, and "mort" when it was previously alive but is now dead. Given the following: > tree_live

Hi, When an integer argument is passed as value, node_set_value segfaults. Reproducer is at the end of this message The backtrace points at hivex-py.c, function get_value. While obj is non-NULL, `bytes = PyUnicode_AsUTF8String (obj);` returns NULL. Kind regards, Peter https://lekensteyn.nl #!/usr/bin/env python3 import hivex, sys h = hivex.Hivex(sys.argv[1]) print(h) val = {

Hi, This patch series is based on a prior patch[1], splitting off changes as requested and incorporating feedback from Richard Jones. It introduces type validation to avoid segmentation faults (instead, it reports an exception) and fixes handling of the bytes type in Python 3. Major changes since that series: - Drop newly introduced support for integer types for DWORD/QWORDS - Reject Unicode

Hi, I am using swig to build a wrapper for an c-function to use it in R. I would like to define a generic function, which gives back a void pointer. On the R side, I know what this pointer is pointing to, whether it is an integer or an string, or something else... but I need to somehow reinterpret the resulting "externalptr" into another form... a function that looks like the

Given an externalptr object 'pool' which protects an R object 'prot': # SEXP prot = (a dynamically updated list with handles) SEXP pool = R_MakeExternalPtr(p, R_NilValue, prot); R_RegisterCFinalizerEx(pool, fin_pool, TRUE); WRE explains that 'prot' remains in existence as long as 'pool' is around. Does this also mean 'prot' still exists when the

Dear R friends. After having some troubles learning how to create a ffdf object, now I find myself having problems saving it. this is the data i´d like to save: str(DATA) List of 3 $ virtual: 'data.frame': 6 obs. of 7 variables: .. $ VirtualVmode : chr "double" "short" "integer" "integer" ... .. $ AsIs : logi FALSE FALSE FALSE

Greetings. 2.15.0 added this behavior http://developer.r-project.org/blosxom.cgi/R-devel/NEWS/2012/03/29#n2012-03-29 o Passing R objects other than atomic vectors, functions, lists and environments to .C() is now deprecated and will give a warning. Most cases (especially NULL) are actually coding errors. NULL will be disallowed in future. This seems to make sense,

Dear all, I am confused about the inconsistent behaviors of `@<-` operator when used in different ways. Consider the following example: library(inline) # Function to generate an externalptr object with random address new_extptr <- cfunction(c(), ' SEXP val = PROTECT(ScalarLogical(1)); SEXP out = PROTECT(R_MakeExternalPtr(&val, R_NilValue, val)); UNPROTECT(2);

Hello, I've been working on a graphical registry hive editing tool in Qt using the hivex C library. While creating it, I noticed that in order to determine if an expansion element should be shown on a node, you have to determine if a node has any children. Currently, in order to determine if a node has any children, you must find every child with hivex_node_children, which is a relatively

Hello, Suppose in the following code, PROTECT(sr = R_tryEval( .... )) sr is a RAWSXP vector. I wish to return another RAWSXP starting at position 13 onwards (base=0). I could create another RAWSXP of the correct length and then memcpy the required bytes and length to this new one. However is there a more efficient method? Regards Saptarshi Guha

Is there a 'proper' way of checking if cluster is active. For example, I create a cluster called .PBcluster > str(.PBcluster) List of 4 $ :List of 3 ..$ con :Classes 'sockconn', 'connection' atomic [1:1] 3 .. .. ..- attr(*, "conn_id")=<externalptr> ..$ host: chr "localhost" ..$ rank: int 1 ..- attr(*, "class")= chr

Hi, While working on Debian packages of hivex 1.2.5, I came across a test failure for the Python bindings with Python 2.7 on the i386 architecture. (The tests ran fine on amd64.) ,---- | $ make -C python check | make[1]: Entering directory `/home/bengen/src/deb/hivex/hivex.git/python' | 010-import.py | 020-open.py | 021-close.py | 200-write.py | python: hivex-py.c:52: get_handle: Assertion

Added Perl binding glue and a simple test along the lines of present tests. (And again: I'm not on the list, please CC me on replies. Thanks!) --- generator/generator.ml | 62 +++++++++++++++++++++++++++++++-- lib/hivex.c | 90 ++++++++++++++++++++++++++++++++++++++++++++++++ perl/t/201-setvalue.t | 54 ++++++++++++++++++++++++++++ 3 files changed, 203 insertions(+), 3

Hi all, I found that the finalizer of the externalPtr is not called when R is quitting. However, manually calling GC() works fine. This behavior is observed on devel R 2020-04-02 r78142 on Win and R 3.6.3 on Ubuntu. I make a reproducible package here: https://github.com/Jiefei-Wang/example Here is the detail of how to reproduce the problem, I create a temporary file in the package root path and

I am out of my league with this question. The following code starts the java imaging program ImageJ from within R, and displays an image (assuming ImageJ is installed on your computer). library(RImageJ) img <- IJ$openImage( file.choose() ) #pick an available .tif file img$show() # make the image object visible # An image is now displayed # find out about the objects involved >