similar to: bug in identical()? [Was: [R-sig-ME] Failure to load lme4 on Mac]

I ran into an interesting error unserializing a file created with ascii=TRUE: R 3.5.1 (Windows or Linux): > unserialize(serialize(list(raw=as.raw(c(39,41))), NULL, version=2, ascii=TRUE)) Error in unserialize(serialize(list(raw = as.raw(c(39, 41))), NULL, version = 2, : ReadItem: unknown type 29, perhaps written by later version of R The same error happens when the

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Dear R-Users, I need a very fast and reliable database solution so I try to serialize a data.frame (to binary data) and to store this data to an SQLite database. This is what I tried to do: library(RSQLite) con <- dbDriver("SQLite") db <- dbConnect(con, "test") dbSendQuery(db, 'CREATE TABLE frames("simID" INT, "data" BLOB)') data.bin <-

Someone solved the problem of saving R-objects to a database? These are the two varaints I've tried so far without success: 1) ser = rawToChar(serialize(obj, NULL, ascii=TRUE)) dbSendQuery(link, paste("insert into table values(1, '",ser,"')",sep='')) The field to save the object in the MySQL Database is of type text. unser = dbGetQuery(link,"select

Hi, While debugging a network server I'm developing I noticed something unusual - call to unserialize() resulted in an error about loading a namespace. I was a bit taken back by this - why should unserializing an object cause a namespace lookup? Are there any other side-effects of unserialize() that I should be cautious about? I've been digging through the R_Unserialize() call, I

Hi folks, I've attached a patch to the svn trunk that improves the performance of the serialize/unserialize interface for vector types. The current implementation: a) invokes the R_XDREncode operation for each element of the vector type, and b) uses a switch statement to determine the stream type for each element of the vector type. I've added R_XDREncodeVector/R_XDRDecodeVector functions

I noticed the following peculiarity with `serialize()' when `ascii = TRUE' is used. In today's (svn r37299) R-devel, I get > set.seed(10) > x <- rnorm(10) > > a <- serialize(x, con = NULL, ascii = TRUE) > b <- unserialize(a) > > identical(x, b) ## FALSE [1] FALSE > x - b [1] -3.469447e-18 2.775558e-17 -4.440892e-16 0.000000e+00

This Index: src/main/altrep.c =================================================================== --- src/main/altrep.c (revision 79385) +++ src/main/altrep.c (working copy) @@ -275,10 +275,11 @@ SEXP psym = ALTREP_SERIALIZED_CLASS_PKGSYM(info); SEXP class = LookupClass(csym, psym); if (class == NULL) { - SEXP pname = ScalarString(PRINTNAME(psym)); + SEXP pname =

Hi all, I am not able to export an ALTREP object when `gctorture` is on in the worker. The package simplemmap can be used to reproduce the problem. See the example below ``` ## Create a temporary file filePath <- tempfile() con <- file(filePath, "wrb") writeBin(rep(0.0,10),con) close(con) library(simplemmap) library(parallel) cl <- makeCluster(1) x <- mmap(filePath,

hello, I'm using R 1.8.1 with the lastest snow package on FreeBSD 4.9. However, when I try to using socket clusters, it's very unstable. Sometimes it dies half way when I run parSapply(), sometimes it dies when cluster connection is idle. I create a socket cluster by following cmd cl = makeCluster("foo", type = "SOCK", outfile="/tmp/rafanlog");

I have a database field called dates in which I am trying to serialize an array of DateTime objects. When I unserialize them, they are coming back in as Time objects. I know this, because I am getting errors that say "comparison between Time and DateTime failed. Why is this happening? Is there a way to prevent it?? Thanks Shelby -------------- next part -------------- An HTML attachment

Lately I've tried running some games under Snow Leopard, 10.6.4 to be precise, most of them being pre-Direct X 8 games, mainly for nostalgia reason. Most of these games had no big problems running under Ubuntu 10.10 32bit, and being used to run Wine under Mac Os for some legacy work-related application, I thought It would have been pretty straightforward to run such games under Snow Leopard.

Hi, sorry if this question is trivial or unclear, this is my first venture into mixed C/R programming (I am reasonably experienced in each separately). I am trying to write a serialization function for a format called typedbytes, which is used as an interchange format in Hadoop circles. Since I would need to serialize according to the internal R format many small R objects I looked at the c

I don''t even know if this is possible. I want to use an object as an attribute for one of my classes. I can save it to the db fine, looks like...but I need to be able to use it after I pull the object from the db. Right now the attribute is just a String, but I need it to be a Runt::Intersect object. Does anyone know how I can unserialize the attribute so I can use it as an object?

Hi, I am developing a tool for converting a large data frame stored in an uncompressed binary (XDR) RData file to a delimited text file. The data frame is too large to load() and extract rows from on a typical PC. I'm looking to parse through the file and extract individual entries without loading the whole thing into memory. In terms of some C source functions, instead of doing

I stumbled upon the following: f <- parallel::mcparallel(raw(0L)) parallel::mccollect(f) # $`77083` # NULL but f <- parallel::mcparallel(raw(1L)) parallel::mccollect(f) # Error in unserialize(r) : read error traceback() # 2: unserialize(r) # 1: parallel::mccollect(f) (restarting because the above appears to corrupt the R session) f <- parallel::mcparallel(raw(2L))

Dear all, Can anyone help me, my R software can not run a nested linear regression by using the lme funcion. The message that appears is  Error: could not find function "lme" I already downloaded and loaded the package, please see below. Thank you in advance for any help! Nadia. > data<-read.csv("/Users/nadiasan1/Desktop/MOE and MOR.csv")> attach(data)>

problem of the very large memory require by the Sign extension. --- R-2.5.0.orig/src/main/serialize.c 2007-03-27 01:42:08.000000000 +0900 +++ R-2.5.0/src/main/serialize.c 2007-06-25 00:48:58.000000000 +0900 @@ -1866,7 +1866,7 @@ static void resize_buffer(membuf_t mb, int needed) { - int newsize = 2 * needed; + size_t newsize = 2 * needed; mb->buf = realloc(mb->buf,

Any progress in this issue? Or is the whole XiphQT project dead? Any 64bit package of XiphQT for MacOSX Snow Leopard on its way? Any solution on its way, which works with Quicktime X on Snow Leopard and which doesn't urge/force you to install and use the old Quicktime 7 player? Any solution on its way, solving the /Library/Components problem on MacOSX Snow Leopard/Quicktime X? See: [theora]

Hi All, I am trying to shift from running mixed models in SAS using PROC MIXED to using lme4 package in R. In trying to match the coefficients of R output to that of SAS output, I came across this problem. The dataset I am using is this one: http://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/viewer.htm#statug_mixed_sect034.htm If I run the following code: proc mixed data=rc