search for: 77l

...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, 30L, 42L, 42L, 33L, 26L, 30L, 40L, 54L, 34L, 34L, 47L, 47L, 42L, 47L, 54L, 54L, 56L, 60L, 44L ), group = structure(c(5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 4L, 4L,...

...uot;bank", "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...

...1.3, 0.2, 2.2, 0.7, 1.8, 4.5, 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...

...h ids attached next to each meal combination in each row like this: mealAcode mealBcode ids 1 34 39 11 2 25 34 15 11 3 25 77 15 85 M <- structure(list(mealAcode = c(34L, 89L, 25L, 34L, 25L), mealBcode = c(66L, 39L, 77L, 39L, 34L)), .Names = c("mealAcode", "mealBcode"), row.names = c(NA, -5L), class = "data.frame") C <- structure(list(id = c(15L, 11L, 85L), M1 = c(77L, 25L, 89L), M2 = c(34L, 34L, 25L), M3 = c(25L, 39L, 77L)), .Names = c("id", "M1", "M2&quot...

....05] 68 2 (0.05,0.1] 87 3 (0.1,0.15] 85 4 (0.15,0.2] 72 5 (0.2,0.25] 65 6 (0.25,0.3] 73 7 (0.3,0.35] 74 .... I would prefer a dataframe labelled like this. 0.05 68 0.1 87 How to do? Thanks Wim > dput (test.tab) structure(c(68L, 87L, 85L, 72L, 65L, 73L, 74L, 72L, 77L, 78L, 75L, 74L, 83L, 93L, 89L, 75L, 67L, 59L, 56L, 208L), .Dim = 20L, .Dimnames = structure(list( c("(0,0.05]", "(0.05,0.1]", "(0.1,0.15]", "(0.15,0.2]", "(0.2,0.25]", "(0.25,0.3]", "(0.3,0.35]", "(0.35,0.4]", &...

Hi, I'm a new R user and I'm having trouble with the read.csv command. It somehow treats the first column as a row name field even though it's not a row name. there are no missing columns/entries and i'm not sure how to resolve this. the format of my data is A, B, C, D,......(3984 columns) 12, 13, 41,......(all numeric) it either treats column A as rownames or if I explicitly

...4L, 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 see if the score is above...

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

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.

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

...3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L), .Label = c("Well", "Mild", "Moderate", "Impaired"), class = c("ordered", "factor")), Freq = c(64L, 94L, 58L, 46L, 57L, 94L, 54L, 40L, 57L, 105L, 65L, 60L, 72L, 141L, 77L, 94L, 36L, 97L, 54L, 78L, 21L, 71L, 54L, 71L)), .Names = c("ses", "mental", "Freq"), row.names = c(NA, -24L), class = "data.frame") -- Michael Friendly Email: friendly AT yorku DOT ca Professor, Psychology Dept. York University Voice: 416 736-511...

...<- structure(list(week = c(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, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L), BY_2008 = c(95L, 77L, 124L, 159L, 2376L, 9480L, 17314L, 99574L, 323679L, 198211L, 93630L, 129183L, 111820L, 71260L, 35241L, 14020L, 20778L, 21694L, 15016L, 13400L, 9187L, 3607L, 2804L, 2417L, 5291L, 16216L, 898L, 558L, 709L, 972L, 61L, 372L, 3086L, 10108L, 4295L, 882L, 2593L, 36L, 233L, 243L, 0L, 70L, 272L, 308L, 134L,...

...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, 37...

..., 3L, 3L, 3L), .Label = c("Negative", "Neutral", "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...

...02153L, 4308999L, 4314066L, 4320267L, 4323312L, 4429542L, 4430725L, 4430920L, 4437775L, 4448036L, 4452215L, 4452865L, 4453105L, 4453270L, 4454459L, 4455322L, 4455884L, 4457234L, 4457422L, 4457901L, 4458671L, 4458671L, 4459229L, 4459543L, 4459690L, NA, NA, NA, NA, NA, NA, NA), BY2008 = c(0L, 0L, 77L, 201L, 360L, 2736L, 12216L, 29530L, 129104L, 452783L, 650994L, 744624L, 873807L, 985627L, 1056887L, 1092128L, 1106148L, 1126926L, 1148620L, 1163636L, 1177036L, 1186223L, 1189830L, 1192634L, 1195051L, 1200342L, 1216558L, 1217456L, 1218014L, 1218723L, 1219695L, 1219756L, 1220128L, 1223214L, 12333...

...9L, 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, 79L, 98L, 112L, 68L, 88L, 105L, 20L, 11L, 49L, 63L, 5L, 80L, 50L, 59L, 89L, 114L, 22L, 34L, 45L), .Label = c("1/14/08 12:26", "1/15/08 15:25", "1/15/08 16:32",...

...8L, 531232L, 652803L, 345358L, 142991L, 148883L, 957501L, 32495L, 14862L, 7210L, 9765L, 6846L, 5067L, 6201L, 3045L, 106230L, 1183L, 195L, 6855L, 10261L, 4179L, 650L, 240L, 165L, 1189L, 863L, 562L, 1350L, 188L, 479L, 770L, 0L, 558L, 314L, 147L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), ??? BY2008 = c(0L, 0L, 77L, 124L, 159L, 2376L, 9480L, 17314L, ??? 99574L, 323679L, 198211L, 93630L, 129183L, 111820L, 71260L, ??? 35241L, 14020L, 20778L, 21694L, 15016L, 13400L, 9187L, 3607L, ??? 2804L, 2417L, 5291L, 16216L, 898L, 558L, 709L, 972L, 61L, ??? 372L, 3086L, 10108L, 4295L, 882L, 2593L, 36L, 233L, 243L, ??? 0L, 70...

...377, 51.856700897, 55.925800323, 51.002101898, 56.268901825, 61.367401123, 57.844799042 )), .Names = 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,...

...48L, 166L, 58L, 320L, 14L, 107L, 440L,? 24L, 347L, 419L, 135L, 202L, 294L, 173L, 121L, 358L, 51L, 231L,? 118L, 109L, 182L, 219L, 42L, 73L, 435L, 389L, 431L, 81L, 149L,? 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, 138...

...160L, 179L, 179L, 179L, 179L, 179L, 179L, 192L, 192L, 192L, 204L, 204L, 204L, 204L, 205L, 211L, 233L, 233L, 272L, 272L, 272L, 272L, 309L, 309L, 309L, 310L, 310L, 314L, 314L, 315L, 316L, 320L, 320L, 320L, 320L, 324L, 324L, 324L, 329L, 329L, 339L, 354L, 354L, 354L, 357L, 358L, 359L, 364L, 366L, 377L, 377L, 377L, 377L, 377L, 377L, 377L, 377L, 377L, 377L, 377L, 377L, 379L, 383L, 383L, 387L, 387L, 391L, 395L, 398L, 401L, 401L, 401L, 401L, 401L, 407L, 407L, 407L, 409L, 414L, 414L, 414L, 434L, 434L, 434L, 437L, 437L, 437L, 437L, 437L, 439L, 439L, 439L, 439L, 442L, 443L, 450L, 452L, 452L, 459L,...