search for: 64l

...there must be an easier way. Here's my code - id is id number, age is the age of the person, and seq is the sequence variable that I've created. Thanks very much for the help. david freedman, atlanta ds=data.frame(list(id = c(1L, 1L, 1L, 1L, 8L, 8L, 16L, 16L, 16L, 16L, 16L, 19L, 32L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 79L, 79L, 80L, 80L, 80L, 80L, 85L, 86L, 96L, 96L, 96L, 103L, 103L, 106L, 106L, 106L, 106L, 106L, 106L, 106L, 140L, 140L, 144L, 144L, 144L, 144L, 144L, 144L, 144L, 146L, 146L, 146L, 146L, 160L, 160L, 160L, 160L, 160L, 160L, 164L, 164L, 176L, 176L, 176L, 176L,...

I'm trying to read a binary file created by a fortran code using readBin and readChar. Everything reads fine (integers and strings) except for double precision numbers, they are read as huge or very small number (1E-250,...). I tried various endianness, swap, But nothing has worked so far. I also tried on R 64 bit for linux and windows (R 2.14) and R 2.11 on windows XP 32 bit. Any help would

I would like to organize my data as follows: I have a table that contains various data, and the numbers represent a level of similarity between these data, eg RF00013 has 100% similarity with the data RF00014. I would leave my table as a heatmap where darker colors represent higher similarity, and the lighter colors represent less level of similarity. I'm using version 2.11 of R. these

...83L, 83L, 82L, 82L, 82L, 81L, 81L, 81L, 80L, 80L, 80L, 79L, 79L, 79L, 78L, 78L, 78L, 77L, 77L, 77L, 76L, 76L, 76L, 75L, 75L, 75L, 74L, 74L, 74L, 73L, 73L, 73L, 72L, 72L, 72L, 71L, 71L, 71L, 70L, 70L, 70L, 69L, 69L, 69L, 68L, 68L, 68L, 67L, 67L, 67L, 66L, 66L, 66L, 65L, 65L, 65L, 64L, 64L, 64L, 63L, 63L, 63L, 62L, 62L, 62L, 61L, 61L, 61L, 60L, 60L, 60L, 59L, 59L, 59L, 58L, 58L, 58L, 57L, 57L, 57L, 56L, 56L, 56L, 55L, 55L, 55L, 54L, 54L, 54L, 53L, 53L, 53L, 52L, 52L, 52L, 51L, 51L, 51L, 50L, 50L, 50L, 49L, 49L, 49L, 48L, 48L, 48L, 47L, 47L, 47L, 46L, 46L, 46L...

..., 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 44L, 45L, 46L, 47L, 48L, 49L, 50L, 51L, 52L, 53L, 54L, 55L, 56L, 57L, 58L, 59L, 60L, 61L, 62L, 63L, 64L, 65L, 66L, 67L, 68L, 69L, 70L, 71L, 72L, 73L, 74L, 75L, 76L, 77L, 78L, 79L, 80L, 81L, 82L, 83L, 84L, 85L, 86L, 87L, 88L, 89L, 90L, 91L, 92L, 93L, 94L, 95L, 96L, 97L, 98L, 99L, 100L, 101L, 102L, 103L, 104L, 105L, 106L, 107L, 108L, 109L, 110L, 111L, 112L, 113L, 114L, 115L, 116L, ...... ...... ..... V...

...61L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 64L), .Label = c("D-1", "D-2", "D-3", "D-4", "D-5", "D-6", "D-7", "D-8", "D-9", "Effluent", "GB-ES1", "GW-2", &quot...

Hi All, I have a scatter plot produced using ggplot2 and I want to add the regression line to this scatter plot. I suppose I can use geom_smooth() to do this, but for the sake of learning ( I am new both to R and ggplot2), I want to try and add it as a function (something that curve() does in the standard R plotting). I did some search and found that stat_function() can be used for this. But

...40L, 40L, 41L, 41L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 43L, 44L, 44L, 44L, 45L, 45L, 46L, 46L, 47L, 48L, 48L, 48L, 49L, 50L, 50L, 50L, 50L, 50L, 50L, 51L, 51L, 52L, 52L, 53L, 53L, 53L, 54L, 54L, 54L, 54L, 55L, 56L, 56L, 57L, 57L, 57L, 58L, 58L, 58L, 59L, 60L, 60L, 60L, 61L, 61L, 62L, 62L, 63L, 63L, 64L, 64L, 64L, 65L, 65L, 66L, 66L, 66L, 67L, 67L, 67L, 68L, 68L, 68L, 69L, 69L, 70L, 70L, 71L, 71L, 73L, 73L, 73L, 73L, 74L, 74L, 74L, 74L, 75L, 75L, 75L, 75L, 76L, 76L, 76L, 76L, 78L, 78L, 78L, 79L, 79L, 80L, 80L, 81L, 81L, 81L, 81L, 82L, 82L, 82L, 83L, 83L, 83L, 84L, 85L, 85L, 85L, 87L, 87L, 87L, 87L...

...L, 44L, 60L, 17L, 34L, 41L, 40L, 9L, 36L, 38L, 19L, 61L, 51L, 45L, 42L, 3L, 39L, 21L, 11L, 12L, 7L, 35L, 5L, 70L, 47L, 28L, 16L, 72L, 13L, 49L, 67L, 56L, 32L, 27L, 46L, 24L, 63L, 15L, 66L, 26L, 29L, 48L, 1L, 54L, 37L, 2L, 50L, 52L, 31L, 33L, 25L, 6L, 69L, 53L, 10L, 18L, 55L, 59L, 4L, 58L, 22L, 20L, 64L, 71L, 57L, 11L, 17L, 43L, 13L, 1L, 16L, 34L, 47L, 52L, 72L, 59L, 22L, 54L, 18L, 25L, 61L, 56L, 41L, 27L, 14L, 49L, 19L, 29L, 31L, 64L, 6L, 53L, 35L, 37L, 67L, 39L, 51L, 40L, 15L, 69L, 60L, 38L, 4L, 23L, 3L, 48L, 32L, 42L, 24L, 28L, 33L, 57L, 8L, 21L, 46L, 7L, 30L, 45L, 2L, 63L, 36L, 68L, 20L, 66L,...

...L, 41L, 40L, 9L, 36L, 38L, 19L, 61L, 51L, 45L, 42L, 3L, 39L, > 21L, 11L, 12L, 7L, 35L, 5L, 70L, 47L, 28L, 16L, 72L, 13L, 49L, > 67L, 56L, 32L, 27L, 46L, 24L, 63L, 15L, 66L, 26L, 29L, 48L, 1L, > 54L, 37L, 2L, 50L, 52L, 31L, 33L, 25L, 6L, 69L, 53L, 10L, 18L, > 55L, 59L, 4L, 58L, 22L, 20L, 64L, 71L, 57L, 11L, 17L, 43L, 13L, > 1L, 16L, 34L, 47L, 52L, 72L, 59L, 22L, 54L, 18L, 25L, 61L, 56L, > 41L, 27L, 14L, 49L, 19L, 29L, 31L, 64L, 6L, 53L, 35L, 37L, 67L, > 39L, 51L, 40L, 15L, 69L, 60L, 38L, 4L, 23L, 3L, 48L, 32L, 42L, > 24L, 28L, 33L, 57L, 8L, 21L, 46L, 7L, 30L, 45L, 2L, 63L,...

...borts possibly from a bug we can more easily fix. Today I've been working (successfully! - not yet committed) at fixing str() for very large strings. In this process, I've found that pc <- function(.) paste(., collapse=".1.2.3.4.5.") p <- function(.) strrep(pc(.), 64L) p(p(p(p(LETTERS)))) produces a (memory related) segmentation fault (aka "crash") very reproducibly and relatively quickly both on my Linux (Fedora 22) desktop and on our Windows server. *** caught segfault *** address 0x7fc52dc89000, cause 'memory not mapped' Traceback: 1...

...36L, 38L, 19L, 61L, 51L, 45L, 42L, 3L, 39L, >> 21L, 11L, 12L, 7L, 35L, 5L, 70L, 47L, 28L, 16L, 72L, 13L, 49L, >> 67L, 56L, 32L, 27L, 46L, 24L, 63L, 15L, 66L, 26L, 29L, 48L, 1L, >> 54L, 37L, 2L, 50L, 52L, 31L, 33L, 25L, 6L, 69L, 53L, 10L, 18L, >> 55L, 59L, 4L, 58L, 22L, 20L, 64L, 71L, 57L, 11L, 17L, 43L, 13L, >> 1L, 16L, 34L, 47L, 52L, 72L, 59L, 22L, 54L, 18L, 25L, 61L, 56L, >> 41L, 27L, 14L, 49L, 19L, 29L, 31L, 64L, 6L, 53L, 35L, 37L, 67L, >> 39L, 51L, 40L, 15L, 69L, 60L, 38L, 4L, 23L, 3L, 48L, 32L, 42L, >> 24L, 28L, 33L, 57L, 8L, 21L, 46L, 7L, 30L...

...L, 44L, 60L, 17L, 34L, 41L, 40L, 9L, 36L, 38L, 19L, 61L, 51L, 45L, 42L, 3L, 39L, 21L, 11L, 12L, 7L, 35L, 5L, 70L, 47L, 28L, 16L, 72L, 13L, 49L, 67L, 56L, 32L, 27L, 46L, 24L, 63L, 15L, 66L, 26L, 29L, 48L, 1L, 54L, 37L, 2L, 50L, 52L, 31L, 33L, 25L, 6L, 69L, 53L, 10L, 18L, 55L, 59L, 4L, 58L, 22L, 20L, 64L, 71L, 57L, 11L, 17L, 43L, 13L, 1L, 16L, 34L, 47L, 52L, 72L, 59L, 22L, 54L, 18L, 25L, 61L, 56L, 41L, 27L, 14L, 49L, 19L, 29L, 31L, 64L, 6L, 53L, 35L, 37L, 67L, 39L, 51L, 40L, 15L, 69L, 60L, 38L, 4L, 23L, 3L, 48L, 32L, 42L, 24L, 28L, 33L, 57L, 8L, 21L, 46L, 7L, 30L, 45L, 2L, 63L, 36L, 68L, 20L, 66L,...

...L, 44L, 60L, 17L, 34L, 41L, 40L, 9L, 36L, 38L, 19L, 61L, 51L, 45L, 42L, 3L, 39L, 21L, 11L, 12L, 7L, 35L, 5L, 70L, 47L, 28L, 16L, 72L, 13L, 49L, 67L, 56L, 32L, 27L, 46L, 24L, 63L, 15L, 66L, 26L, 29L, 48L, 1L, 54L, 37L, 2L, 50L, 52L, 31L, 33L, 25L, 6L, 69L, 53L, 10L, 18L, 55L, 59L, 4L, 58L, 22L, 20L, 64L, 71L, 57L, 11L, 17L, 43L, 13L, 1L, 16L, 34L, 47L, 52L, 72L, 59L, 22L, 54L, 18L, 25L, 61L, 56L, 41L, 27L, 14L, 49L, 19L, 29L, 31L, 64L, 6L, 53L, 35L, 37L, 67L, 39L, 51L, 40L, 15L, 69L, 60L, 38L, 4L, 23L, 3L, 48L, 32L, 42L, 24L, 28L, 33L, 57L, 8L, 21L, 46L, 7L, 30L, 45L, 2L, 63L, 36L, 68L, 20L, 66L,...

...L, 41L, 40L, 9L, 36L, 38L, 19L, 61L, 51L, 45L, 42L, 3L, 39L, > 21L, 11L, 12L, 7L, 35L, 5L, 70L, 47L, 28L, 16L, 72L, 13L, 49L, > 67L, 56L, 32L, 27L, 46L, 24L, 63L, 15L, 66L, 26L, 29L, 48L, 1L, > 54L, 37L, 2L, 50L, 52L, 31L, 33L, 25L, 6L, 69L, 53L, 10L, 18L, > 55L, 59L, 4L, 58L, 22L, 20L, 64L, 71L, 57L, 11L, 17L, 43L, 13L, > 1L, 16L, 34L, 47L, 52L, 72L, 59L, 22L, 54L, 18L, 25L, 61L, 56L, > 41L, 27L, 14L, 49L, 19L, 29L, 31L, 64L, 6L, 53L, 35L, 37L, 67L, > 39L, 51L, 40L, 15L, 69L, 60L, 38L, 4L, 23L, 3L, 48L, 32L, 42L, > 24L, 28L, 33L, 57L, 8L, 21L, 46L, 7L, 30L, 45L, 2L, 63L,...

...36L, 38L, 19L, 61L, 51L, 45L, 42L, 3L, 39L, >> 21L, 11L, 12L, 7L, 35L, 5L, 70L, 47L, 28L, 16L, 72L, 13L, 49L, >> 67L, 56L, 32L, 27L, 46L, 24L, 63L, 15L, 66L, 26L, 29L, 48L, 1L, >> 54L, 37L, 2L, 50L, 52L, 31L, 33L, 25L, 6L, 69L, 53L, 10L, 18L, >> 55L, 59L, 4L, 58L, 22L, 20L, 64L, 71L, 57L, 11L, 17L, 43L, 13L, >> 1L, 16L, 34L, 47L, 52L, 72L, 59L, 22L, 54L, 18L, 25L, 61L, 56L, >> 41L, 27L, 14L, 49L, 19L, 29L, 31L, 64L, 6L, 53L, 35L, 37L, 67L, >> 39L, 51L, 40L, 15L, 69L, 60L, 38L, 4L, 23L, 3L, 48L, 32L, 42L, >> 24L, 28L, 33L, 57L, 8L, 21L, 46L, 7L, 30L...

...L, 44L, 60L, 17L, 34L, 41L, 40L, 9L, 36L, 38L, 19L, 61L, 51L, 45L, 42L, 3L, 39L, 21L, 11L, 12L, 7L, 35L, 5L, 70L, 47L, 28L, 16L, 72L, 13L, 49L, 67L, 56L, 32L, 27L, 46L, 24L, 63L, 15L, 66L, 26L, 29L, 48L, 1L, 54L, 37L, 2L, 50L, 52L, 31L, 33L, 25L, 6L, 69L, 53L, 10L, 18L, 55L, 59L, 4L, 58L, 22L, 20L, 64L, 71L, 57L, 11L, 17L, 43L, 13L, 1L, 16L, 34L, 47L, 52L, 72L, 59L, 22L, 54L, 18L, 25L, 61L, 56L, 41L, 27L, 14L, 49L, 19L, 29L, 31L, 64L, 6L, 53L, 35L, 37L, 67L, 39L, 51L, 40L, 15L, 69L, 60L, 38L, 4L, 23L, 3L, 48L, 32L, 42L, 24L, 28L, 33L, 57L, 8L, 21L, 46L, 7L, 30L, 45L, 2L, 63L, 36L, 68L, 20L, 66L,...

...L, 41L, 40L, 9L, 36L, 38L, 19L, 61L, 51L, 45L, 42L, 3L, 39L, > 21L, 11L, 12L, 7L, 35L, 5L, 70L, 47L, 28L, 16L, 72L, 13L, 49L, > 67L, 56L, 32L, 27L, 46L, 24L, 63L, 15L, 66L, 26L, 29L, 48L, 1L, > 54L, 37L, 2L, 50L, 52L, 31L, 33L, 25L, 6L, 69L, 53L, 10L, 18L, > 55L, 59L, 4L, 58L, 22L, 20L, 64L, 71L, 57L, 11L, 17L, 43L, 13L, > 1L, 16L, 34L, 47L, 52L, 72L, 59L, 22L, 54L, 18L, 25L, 61L, 56L, > 41L, 27L, 14L, 49L, 19L, 29L, 31L, 64L, 6L, 53L, 35L, 37L, 67L, > 39L, 51L, 40L, 15L, 69L, 60L, 38L, 4L, 23L, 3L, 48L, 32L, 42L, > 24L, 28L, 33L, 57L, 8L, 21L, 46L, 7L, 30L, 45L, 2L, 63L,...

Good Afternoon, I'm trying to create a graph that displays the best way the following information. ??? For instance organized by bar graph, A, B, C Source X1000s X600s X500s X250s X100s X50s X10s X5s X3s X1s 1 A 47 63 75 116 125 129 131 131 131 131 2 B 37 64 45 11 25 19 61 131 186 186 3 C 17 62 25 66 12 29 91 171 186

...PY %R2<kill> 28L %reg16384<def> = COPY %R0<kill> 36L %reg16388<def> = COPY %reg16385<kill> 44L %reg16388<def>, %CPSR<def,dead> = tEOR %reg16388, %reg16387<kill>, pred:14, pred:%reg0 56L %reg16389<def> = COPY %reg16384<kill> 64L %reg16389<def>, %CPSR<def,dead> = tEOR %reg16389, %reg16386<kill>, pred:14, pred:%reg0 76L %reg16390<def>, %CPSR<def,dead> = tMOVi8 18, pred:14, pred:%reg0 88L %reg16391<def> = COPY %reg16390<kill> 96L %reg16391<def>, %CPSR<def,dead...