search for: 3e9

...c vector 'xx' and I want to use sum() to count the number of elements that satisfy some criteria like non-zero values or values lower than a certain threshold etc... The problem is: sum() returns an NA (with a warning) if the count is greater than 2^31. For example: > xx <- runif(3e9) > sum(xx < 0.9) [1] NA Warning message: In sum(xx < 0.9) : integer overflow - use sum(as.numeric(.)) This already takes a long time and doing sum(as.numeric(.)) would take even longer and require allocation of 24Gb of memory just to store an intermediate numeric vector made o...

Hi, After I create a long list e.g. with x <- vector(mode="list", length=3e9) many bad things start to happen e.g. some things stop working with a spurious error message: gc() # Error in gc() : # long vectors not supported yet: /home/hpages/src/R-3.3.2/src/main/memory.c:1137 x_lens <- lengths(x) # Error in lengths(x) : # long vectors not supporte...

...ble values will be coerced to integer: supplying an argument of length other than one is an error. Since long vectors are supported, it doesn't seem to be true anymore that "double values will be coerced to integer": > bigraw <- vector("raw", 3e9) > length(bigraw) [1] 3e+09 > storage.mode(length(bigraw)) [1] "double" At least not always... Thanks, H. -- Herv? Pag?s Program in Computational Biology Division of Public Health Sciences Fred Hutchinson Cancer Research Center 1100 Fairview Ave. N, M1-B514 P.O. Box...

...ux Submission from: (NULL) (206.248.132.197) DESCRIPTION seek() on files larger than 2 gigabytes fails for large values of "where" on i386 linux 2.6.13 (and presumably other 32-bit unix-like platforms). e.g.: > f<-file("3gigabytefile.dat", "rb") > seek(f, 3e9, "start", "r") [1] 0 ## correct > seek(f, NA, "start", "r") [1] 0 ## should be 3e+09 DIAGNOSIS Typo: the compile-time tests for large file support use "HAVE_SEEKO" instead of "HAVE_FSEEKO", and so fail. The same typo appears in o...

...mber of elements that satisfy some >> criteria like non-zero values or values lower than a >> certain threshold etc... >> The problem is: sum() returns an NA (with a warning) if >> the count is greater than 2^31. For example: >>> xx <- runif(3e9) sum(xx < 0.9) >> [1] NA Warning message: In sum(xx < 0.9) : integer >> overflow - use sum(as.numeric(.)) >> This already takes a long time and doing >> sum(as.numeric(.)) would take even longer and require >> allocation of 24Gb of memory jus...

...gt; the number of elements that satisfy some criteria like non-zero >> values or values lower than a certain threshold etc... >> >> The problem is: sum() returns an NA (with a warning) if the count >> is greater than 2^31. For example: >> >> > xx <- runif(3e9) >> > sum(xx < 0.9) >> [1] NA >> Warning message: >> In sum(xx < 0.9) : integer overflow - use sum(as.numeric(.)) >> >> This already takes a long time and doing sum(as.numeric(.)) would >> take even longer and require allocation of 24Gb of...

...e_base : 1 byte block: 9c (DW_OP_call_frame_cfa) <3e0> DW_AT_GNU_all_call_sites: 1 <3e0> DW_AT_sibling : <0x58b> <2><3e4>: Abbrev Number: 22 (DW_TAG_formal_parameter) <3e5> DW_AT_name : (indirect string, offset: 0x138): argc <3e9> DW_AT_decl_file : 1 <3ea> DW_AT_decl_line : 16 <3eb> DW_AT_type : <0x3f> <3ef> DW_AT_location : 0x6f (location list) <2><3f3>: Abbrev Number: 22 (DW_TAG_formal_parameter) <3f4> DW_AT_name : (indirect st...

...um() to count the number of elements that satisfy some > criteria like non-zero values or values lower than a > certain threshold etc... > The problem is: sum() returns an NA (with a warning) if > the count is greater than 2^31. For example: >> xx <- runif(3e9) sum(xx < 0.9) > [1] NA Warning message: In sum(xx < 0.9) : integer > overflow - use sum(as.numeric(.)) > This already takes a long time and doing > sum(as.numeric(.)) would take even longer and require > allocation of 24Gb of memory just to store an int...

...to use sum() to count > the number of elements that satisfy some criteria like non-zero > values or values lower than a certain threshold etc... > > The problem is: sum() returns an NA (with a warning) if the count > is greater than 2^31. For example: > > > xx <- runif(3e9) > > sum(xx < 0.9) > [1] NA > Warning message: > In sum(xx < 0.9) : integer overflow - use sum(as.numeric(.)) > > This already takes a long time and doing sum(as.numeric(.)) would > take even longer and require allocation of 24Gb of memory just to > store an...

Hi all, Looking to calculate the expected mean and variance of a ratio distribution where the source distributions are gaussian with known parameters and sample values are correlated. I see (from wikipedia: http://en.wikipedia.org/wiki/ Ratio_distribution#Gaussian_ratio_distribution) that this calculation is quite involved, so I'm hoping that someone has already coded a function to

...>> values or values lower than a certain threshold etc... > >>> > >>> The problem is: sum() returns an NA (with a warning) if the count > >>> is greater than 2^31. For example: > >>> > >>> > xx <- runif(3e9) > >>> > sum(xx < 0.9) > >>> [1] NA > >>> Warning message: > >>> In sum(xx < 0.9) : integer overflow - use sum(as.numeric(.)) > >>> > >>> This already takes a long time and doing sum(as.nu...

...teria like non-zero >>> values or values lower than a certain threshold etc... >>> >>> The problem is: sum() returns an NA (with a warning) if the count >>> is greater than 2^31. For example: >>> >>> > xx <- runif(3e9) >>> > sum(xx < 0.9) >>> [1] NA >>> Warning message: >>> In sum(xx < 0.9) : integer overflow - use sum(as.numeric(.)) >>> >>> This already takes a long time and doing sum(as.numeric(.)) would >>> ta...

...or values lower than a certain threshold etc... >> >>> >> >>> The problem is: sum() returns an NA (with a warning) if the count >> >>> is greater than 2^31. For example: >> >>> >> >>> > xx <- runif(3e9) >> >>> > sum(xx < 0.9) >> >>> [1] NA >> >>> Warning message: >> >>> In sum(xx < 0.9) : integer overflow - use sum(as.numeric(.)) >> >>> >> >>> This already takes a long time a...

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Hi, I''ve got a newbie question--sorry if this is covered elsewhere, I parsed through the archives for awhile and didn''t see it. I''d like to listen for whenever a file is renamed (e.g. foo.txt -> foo.old) and then magically change it back. This sounds odd, but I''m working with a stubborn application and this will actually make things work nice. So, if I do:

...2f das > 3e3: 63 6f 6d arpl %bp,0x6d(%edi) > - 3e6: 70 69 jo 451 <__FUNCTION__.21323+0x1> > + 3e6: 70 69 jo 451 <__FUNCTION__.21236+0x1> > 3e8: 6c insb (%dx),%es:(%edi) > 3e9: 65 gs > - 3ea: 72 2f jb 41b <__FUNCTION__.20810+0xf> > + 3ea: 72 2f jb 41b <__FUNCTION__.20724+0xf> > 3ec: 6c insb (%dx),%es:(%edi) > 3ed: 6c insb (%dx),%es:(%edi) >...

The saga continues. I've been tracking the interface changes and merging them with the refactoring work I'm doing. I got as far as building stage3 of llvm-gcc but the object files from stage2 and stage3 differ: warning: ./cc1-checksum.o differs warning: ./cc1plus-checksum.o differs (Are the above two ok?) The list below is clearly bad. I think it's every object file in the

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