search for: 76l

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

...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, 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...

..."missed", "steal"), class = "factor"), Var2 = structure(c(89L, 89L, 89L, 88L, 88L, 88L, 87L, 87L, 87L, 86L, 86L, 86L, 85L, 85L, 85L, 84L, 84L, 84L, 83L, 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...

...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, 49L, 46L, 63L, 39L, 46L, 56L, 63L, 65L, 56L, 65L, 70L, 63L, 65L, 70L, 77L, 81L, 86L, 70L, 70L, 77L, 77L, 81L, 77L, 16L, 19L, 19L, 32L, 33L, 33L...

...4.5, 4.6, 4.5, 4.6, 3.9, 4.2, 4.9, 4.9, 4.5, 16.7, 17.4, 17.5, 17.5, 17.4, 1.9, 2.4, 1.7, 1.2, 1.5, 1.1, 1.8, 3.1, 3.1, 3, 4.1, 4.2, 2.7, 4.5, 0.4, 1.2, 3, 3.5, 1.2, 0.8, 0.9, 2, -0.8, 5.8, 0.6, 1, 0.9, 4.4, 2.3, -0.1), dD = c(-66L, -81L, -81L, -71L, -68L, -79L, -73L, -77L, -74L, -71L, -73L, -80L, -76L, -80L, -74L, -77L, -74L, -77L, -74L, -82L, -79L, -72L, -74L, -71L, -76L, -72L, -76L, -73L, -75L, -78L, -81L, -77L, -77L, -73L, -79L, -104L, -98L, -98L, -109L, -106L, -99L, -107L, -100L, -98L, -95L, -95L, -95L, -97L, -98L, -121L, -119L, -118L, -121L, -121L, -106L, -116L, -122L, -112L, -125L, -109L,...

...4784, 14784, 14784, 14784, 14784 ), class = "Date"), bp_date = structure(c(12660, 14571, 13392, 13080, 12012, 13080, 13894, 14622, 12654, 13894), class = "Date"), SBP = c(135L, 160L, 135L, 153L, 150L, 153L, 151L, 126L, 150L, 151L), DBP = c(85L, 80L, NA, 79L, 82L, 79L, 76L, 60L, 82L, 91L)), .Names = c("prochi", "date_1st_event", "bp_date", "SBP", "DBP"), row.names = 108:117, class = "data.frame") It consists of repeated measures for the same individual. What I want to do is find the two most recent b...

...385<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> = tEOR %reg16391, %reg16389<kill>, pred:14, pred:%reg0 108L %R0<def> = COPY %reg16391<kill...

...1L, 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, 87L, 87L, 88L, 88L, 88L, 88L, >>>>>>>>> 89L, 89L, 90L, 91...

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

...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, ...... ...... ..... V2 = structure(c(278L, 23L, 11L, 169L, 14L, 86L, 94L, 51L,...

...L, 71L, 71L, 77L, 72L, 63L, 77L, 83L, 63L, 68L, 83L, 71L, 81L, 73L, 70L, 81L, 91L, 91L, 78L, 93L, 75L, 71L, 64L, 62L, 51L, 56L, 47L, 51L, 93L, 66L, 74L, 67L, 70L, 66L, 71L, 60L, 71L, 79L, 73L, 96L, 81L, 89L, 54L, 63L, 52L, 48L, 48L, 57L, 69L, 101L, 109L, 89L, 74L, 96L, 97L, 96L, 92L, 84L, 88L, 82L, 76L, 78L, 88L, 76L, 69L, 83L, 84L, 79L, 76L, 62L, 58L, 79L, 83L, 94L, 95L, 113L, 107L, 53L, 45L, 34L, 39L, 42L, 38L, 34L, 41L, 28L, 30L, 36L, 48L, 35L, 28L, 31L, 29L, 45L, 45L, 45L, 48L, 39L, 52L, 43L, 41L, 42L, 44L, 38L, 44L, 24L, 26L, 22L, 12L, 13L, 17L, 20L, 28L, 28L, 32L, 25L, 25L, 35L, 28L, 24L, 2...

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

...quot;F", "G", "H", "I", "J", "K"), class = "factor"), Yes = c(18L, 2L, 1L, 2L, 44L, 27L, 2L, 15L, 13L, 3L, 34L), No = c(171L, 11L, 5L, 8L, 146L, 80L, 5L, 30L, 22L, 5L, 42L), Num = c(189L, 13L, 6L, 10L, 190L, 107L, 7L, 45L, 35L, 8L, 76L)), .Names = c("Case", "Yes", "No", "Num"), class = "data.frame", row.names = c(NA, -11L)) Thanks in advance Sam

...oing 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, 43L, 77L, 93L, 104L, 10L, 48L, 53L, 97L, 110L, 18L, 27L, 75L, 92L, 103L, 31L, 9L, 47L, 70L, 72L, 106L, 14L, 26L, 40L...

Dear R users, I want to aggregate all *d *data from all combination of n *plots* taken by k. Thank very much! My data is like that: plot d 1 14 1 13 1 12 1 14 1 18 1 20 1 21 1 43 1 108 1 43 2 41 2 61 2 83 2 61 2 84 2 45 2 21 2 12 2 11 ... 100 10 100 12 -- --- Catalin-Constantin ROIBU Forestry engineer, PhD Forestry Faculty of Suceava

Hi, I am trying to identify duplicate values in a column in a date frame. The duplicated function identifies the duplicate rows in the data frame but it only does this for the second record, not both records. Is there a way to mark both rows in the data frame as TRUE? dfA$dups<-duplicated(dfA$Value) dfA Site State Value dups 929 VA 73 FALSE 929 VA 73 TRUE 930 VA 76 FALSE 930 VA 76 TRUE 931

...? 388L, 415L, 256L, 312L, 446L, 45L, 162L, 485L, 154L, 55L, 153L,? 137L, 290L, 93L, 40L, 110L, 167L, 315L, 266L, 317L, 314L, 264L,? 277L, 488L, 28L, 354L, 303L, 490L, 192L, 432L, 228L, 222L, 418L,? 323L, 244L, 239L, 193L, 120L, 116L, 148L, 57L, 246L, 300L, 143L,? 208L, 400L, 78L, 273L, 411L, 401L, 476L, 262L, 159L, 195L, 102L,? 75L, 136L, 402L, 32L, 199L, 286L, 477L, 54L, 429L, 80L, 316L,? 30L, 333L, 387L, 452L, 324L, 456L, 39L, 138L, 113L, 448L, 377L,? 122L, 441L, 396L, 454L, 497L, 161L, 21L, 117L, 413L, 94L, 459L,? 156L, 365L, 322L, 397L, 88L, 207L, 150L, 209L, 184L, 378L, 217L,? 176L, 52L, 374...

...0, 31, 24, 16.842105, 15.789474, 25, 26, 30, 23, 29, 10, 22, 16, 29, 30, 27, 24 ), ext_t = c(193L, 374L, 127L, 181L, 198L, 112L, 208L, 194L, 185L, 224L, 275L, 204L, 235L, 257L, 149L, 279L, 320L, 322L, 188L, 220L, 273L, 206L, 129L, 296L, 223L, 277L, 156L, 195L, 219L, 155L, 167L, 176L, 220L, 227L, 224L, 195L, 150L, 277L, 134L, 285L, 255L, 225L, 176L), total_barrat_11_imputed = c(52, 49.65517241, 49, 50, 59, 33, 80, 59, 49, 88.96551724, 46, 69, 55, 61, 55, 81, 63, 78, 63, 77, 74, 56, 66, 65, 64, 80, 47, 41, 55, 61, 69, 65, 54, 60, 75, 48, 55, 92, 55, 80, 61, 7...

Hi, I managed to use the attached data set and figure out the following: flies <- read.table("example12_1.dat",header=TRUE,sep="\t") boxplot(long ~ group, data = flies, horizontal = TRUE, col = "red") I'm very new to R and would like some help with the following: 1. Change the order on the y-axis from 1, 2, 3, 4, 5 to 5, 4, 3, 2, 1.

The following reproducable code shows the setting of my problem: set.seed(260808) n = 50 x = rnorm(n) y = rnorm(n) z = ceiling(runif(n,0,4)) g = runif(n,0,6) G = factor(ceiling(g)) xyplot(y ~ x | G) plsy <- trellis.par.get("plot.symbol") plsy$pch = z trellis.par.set("plot.symbol",plsy) xyplot(y ~ x | G) plsy$pch = as.character(z)