search for: 96l

...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, 176L, 176L, 176L, 176L, 181L, 190L, 192L, 192L, 192L, 192L, 192L, 192L, 197L, 197L,...

...** Function: foo ********** JOINING INTERVALS *********** entry: 16L %vreg0<def> = COPY %R25R24<kill>; DREGS:%vreg0 Considering merging %vreg0 with physreg %R25R24 RHS = %vreg0 = [16d,96d:0) 0 at 16d LHS = %R25R24,inf = [0L,16d:0) 0 at 0L-phidef updated: 96L %vreg8<def> = COPY %R25R24<kill>; PTRREGS:%vreg8 updated: 32L %vreg5<def> = COPY %R25R24; PTRREGS:%vreg5 Joined. Result = %R25R24,inf = [0L,96d:0) 0 at 0L-phidef 32L %vreg5<def> = COPY %R25R24; PTRREGS:%vreg5 Not coalescable. 64L %vreg6<def&gt...

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

...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, 87L, 87L, 88L, 88L, 88L, 88L, 89L, 89L, 90L, 91L, 91L, 91L, 91L, 91L, 92L, 93L, 93L, 94L, 95L, 95L, 95L, 95L, 96L, 96L, 96L, 97L, 97L, 98L, 98L, 98L, 98L, 99L, 100L, 100L, 100L, 100L, 100L), d = c(15, 27.5, 10.5, 12.25, 14, 32.5, 80, 49.5, 15.25, 13.5, 12.25, 12, 72.5, 68.5, 12, 9.25, 12.75, 13.5, 28, 38, 10.25, 62.5, 73.5, 61.5, 54.5, 40, 24.25, 43, 13, 20.75, 23.25, 25.5, 7.25, 11.25, 60.5, 11.25, 8, 11, 93....

...quot;Group 4", and "Group 5". I am hoping for a few different techniques which I can pass on to my students. Thanks David Arnold College of the Redwoods > dput(flies) structure(list(long = c(40L, 37L, 44L, 47L, 47L, 47L, 68L, 47L, 54L, 61L, 71L, 75L, 89L, 58L, 59L, 62L, 79L, 96L, 58L, 62L, 70L, 72L, 74L, 96L, 75L, 46L, 42L, 65L, 46L, 58L, 42L, 48L, 58L, 50L, 80L, 63L, 65L, 70L, 70L, 72L, 97L, 46L, 56L, 70L, 70L, 72L, 76L, 90L, 76L, 92L, 21L, 40L, 44L, 54L, 36L, 40L, 56L, 60L, 48L, 53L, 60L, 60L, 65L, 68L, 60L, 81L, 81L, 48L, 48L, 56L, 68L, 75L, 81L, 48L, 68L, 35L, 37L...

...teger_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_), tree = c(427L, 410L, 639L, 494L, 649L, 166L, 735L, 163L, 120L, 755L, 612L, 174L, 129L, 331L, 269L, 152L, 552L, 227L, 243L, 96L), spp = c("MH", "MST", "MH", "HE", "BE", "MH", "MH", "MH", "MH", "Or", "IW", "Or", "MH", "MH", "BY", "MH", "MH", "...

...389<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> = tEOR %reg16391, %reg16389<kill>, pred:14, pred:%reg0 108L %R0<def> = COPY %reg16391<kill> 116L %R1<def> = COPY %reg16388<kill> 128L tBX_RET %R0<imp-use,kill>, %R1<imp-use,kill> and after: 44L...

On Sat, Sep 4, 2010 at 1:31 PM, Jakob Stoklund Olesen <stoklund at 2pi.dk> wrote: > > On Sep 4, 2010, at 11:21 AM, Borja Ferrer wrote: > >> I've noticed this pattern happening with other operators aswell, but used xor in this example. As i said before, i tried with different register allocation orders, but it will produce always the same result. GCC is emitting longer

...INING INTERVALS *********** > entry: > 16L %vreg0<def> = COPY %R25R24<kill>; DREGS:%vreg0 > Considering merging %vreg0 with physreg %R25R24 > RHS = %vreg0 = [16d,96d:0) 0 at 16d > LHS = %R25R24,inf = [0L,16d:0) 0 at 0L-phidef > updated: 96L %vreg8<def> = COPY %R25R24<kill>; PTRREGS:%vreg8 > updated: 32L %vreg5<def> = COPY %R25R24; PTRREGS:%vreg5 > Joined. Result = %R25R24,inf = [0L,96d:0) 0 at 0L-phidef > 32L %vreg5<def> = COPY %R25R24; PTRREGS:%vreg5 > Not coalescable. &gt...

On Mar 26, 2011, at 1:04 PM, Borja Ferrer wrote: > Hello Jakob, thanks for the reply. The three regclasses involved here are all subsets from each other and aren't disjoint. These are the basic descriptions of the regclasses involved to show what i mean: > > DREGS: R31R30, R29R28 down to R1R0 (16 regs) > DLDREGS: R31R30, R29R28 down to R17R16 (8 regs) > PTRREGS:

Hello Jakob, thanks for the reply. The three regclasses involved here are all subsets from each other and aren't disjoint. These are the basic descriptions of the regclasses involved to show what i mean: DREGS: R31R30, R29R28 down to R1R0 (16 regs) DLDREGS: R31R30, R29R28 down to R17R16 (8 regs) PTRREGS: R31R30, R29R28, R27R26 (3 regs) All classes intersect each other

..."NON", "POS", "SUI"), class = "factor"), V4 = c(2L, 1L, 4L, 1L, 4L, 2L, 0L, 2L, 4L, 1L, 2L, 3L, 2L, 1L, 3L, 0L, 4L, 1L, 4L, 1L ), V5 = c(1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L), V6 = c(878L, 145L, 112L, 104L, 112L, 96L, 112L, 168L, 192L, 112L, 192L, 200L, 200L, 199L, 32L, 201L, 176L, 200L, 224L, 120L)), .Names = c("V1", "V2", "V3", "V4", "V5", "V6"), row.names = c(NA, 20L), class = "data.frame"), structure(list( ? ? V1 = c(0L, 0L, 0L, 0L, 0L...

On Sep 4, 2010, at 11:21 AM, Borja Ferrer wrote: > I've noticed this pattern happening with other operators aswell, but used xor in this example. As i said before, i tried with different register allocation orders, but it will produce always the same result. GCC is emitting longer code, but since LLVM is so nearer to the optimal code sequence i wanted to reach it. In LLVM, copies are

...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, ...... ...... ..... V2 = structure(c(278L, 23L, 11L, 169L, 14L, 86L, 94L, 51L, 37L, 43L, 22L, 169L, 49L, 120L, 18L, 60L, 42L, 41L, 38L, 64L, 38L, 32L, 140L, 146L, 106L, 26...

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

...uot;Positive"), class = "factor"), value = c(153L, 157L, 151L, 152L, 129L, 129L, 89L, 134L, 129L, 126L, 125L, 106L, 108L, 120L, 148L, 109L, 128L, 123L, 132L, 111L, 142L, 139L, 146L, 156L, 153L, 167L, 123L, 161L, 177L, 178L, 163L, 175L, 140L, 141L, 143L, 217L, 206L, 185L, 192L, 203L, 196L, 190L, 195L, 192L, 217L, 210L, 181L, 197L, 222L, 123L, 168L, 156L, 169L, 178L, 178L, 149L, 181L, 175L, 177L, 168L, 153L, 179L, 139L, 156L, 142L, 115L, 135L, 143L, 164L, 158L, 111L, 119L, 131L, 120L, 160L, 141L, 161L, 123L, 135L, 152L, 135L, 164L, 191L, 183L, 81L, 94L, 74L, 90L, 77L, 62L, 57L, 74L,...

...1L, 81L, 82L, 82L, 82L, 83L, 83L, 83L, 84L, >>>>>>>>> 85L, 85L, 85L, 87L, 87L, 87L, 87L, 87L, 87L, 88L, 88L, 88L, 88L, >>>>>>>>> 89L, 89L, 90L, 91L, 91L, 91L, 91L, 91L, 92L, 93L, 93L, 94L, 95L, >>>>>>>>> 95L, 95L, 95L, 96L, 96L, 96L, 97L, 97L, 98L, 98L, 98L, 98L, 99L, >>>>>>>>> 100L, 100L, 100L, 100L, 100L), d = c(15, 27.5, 10.5, 12.25, 14, >>>>>>>>> 32.5, 80, 49.5, 15.25, 13.5, 12.25, 12, 72.5, 68.5, 12, 9.25, >>>>>>>>> 12.75, 13.5, 28,...

what am I doing wrong? chron(as.character(f), format=c(dates="%m/%d/%y", times="%h:%m")) f <- structure(c(51L, 60L, 66L, 87L, 90L, 115L, 23L, 35L, 37L, 6L, 12L, 55L, 84L, 96L, 109L, 17L, 29L, 41L, 3L, 74L, 94L, 102L, 30L, 8L, 46L, 69L, 107L, 15L, 25L, 39L, 1L, 71L, 95L, 19L, 56L, 62L, 76L, 85L, 99L, 111L, 42L, 4L, 52L, 61L, 67L, 91L, 13L, 24L, 36L, 38L, 7L, 81L, 82L, 57L, 64L, 100L, 113L, 21L, 33L, 44L, 78L, 54L, 73L, 83L, 108L, 16L, 28L, 2L, 58L, 65L, 86L, 101L, 32L, 4...

...mes = c("ptno", "age", "y"), row.names = c(1L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 44L, 45L, 46L, 47L, 48L, 49L, 50L, 51L, 52L, 53L, 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), class = "data.frame") library(nlme) grpdat = groupedData(y ~ age | ptno, data = tmpdat, FUN = mean, labels = list(x="Age", y=...

...7L, 81L, 37L, 47L, 70L, 114L, 125L, 99L, 46L, 108L, 106L, 111L, 75L, 75L, 136L, 36L, 13L, 35L, 71L, 105L, 113L, 116L, 116L, 94L, 130L, 102L, 19L, 1L, 33L, 78L, 89L, 115L, 130L, 117L, 105L, 0L, 36L, 80L, 130L, 124L, 124L, 66L, 75L, 57L, 94L, 124L, 165L, 170L, 158L, 127L, 116L, 107L, 118L, 150L, 96L, 101L, 59L, 38L, 46L, 77L, 83L, 54L, 61L, 60L, 55L, 110L, 127L, 129L, 87L, 61L, 70L, 85L, 110L, 131L, 151L, 123L, 50L, 77L, 100L, 135L, 151L)), .Names = c("Date", "Score" ), row.names = c(NA, 100L), class = "data.frame") I am trying to write code that will check to...