search for: 111l

...", "2011-06-29", "2011-06-30"), class = "factor"), DTTM = structure(list(sec = c(7, 3, 3, 3, 3, 4), min = c(7L, 15L, 15L, 15L, 15L, 15L), hour = c(9L, 9L, 9L, 9L, 9L, 9L ), mday = c(3L, 3L, 3L, 3L, 3L, 3L), mon = c(0L, 0L, 0L, 0L, 0L, 0L), year = c(111L, 111L, 111L, 111L, 111L, 111L), wday = c(1L, 1L, 1L, 1L, 1L, 1L), yday = c(2L, 2L, 2L, 2L, 2L, 2L), isdst = c(0L, 0L, 0L, 0L, 0L, 0L)), .Names = c("sec", "min", "hour", "mday", "mon", "year", "wday", "yda...

..., 24, 24.01, 24.14, 24.5, 24.61, 24.76, 24.85, 24.99, 25, 25.6, 25.61, 25.7, 26.09, 26.5, 26.72, 26.89, 29.5, 30.54, 40.63, 40.73, 41.74, 43.5, 44.33, 45.33, 46.05, 47.11, 47.34, 49.58, 50.71, 77, 86.68, 97, 133.6, 203.48), Size = c(664640L, 440L, 407L, 180L, 690L, 851L, 190L, 480L, 720L, 74L, 111L, 1560L, 11400L, 160L, 9333L, 55665L, 222L, 23662L, 210L, 12735L, 1757L, 63736L, 18318L, 460L, 120L, 680L, 400L, 960L, 432L, 259L, 840L, 8200L, 630L, 180L, 189L, 1490L, 27L, 8080L, 6291L, 240L, 841L, 5469L, 4035L, 12555L, 5320L, 9249L, 240L, 1149L, 40L, 660L, 333L, 4360L, 180L, 360L, 240L, 2900...

...3L, 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, 26L, 46L, 65L, 17L, 106L, 20L, 33L, 68L, 62L, 111L, 10L, 149L, 17L, 49L, 164L, 271L,...

...uot;POS"), class = "factor"), YR_MO = c(201011L, 201012L, 201101L, 201102L, 201103L, 201104L, 201105L, 201106L, 201107L, 201108L, 201109L, 201011L, 201012L, 201101L, 201102L, 201103L, 201104L, 201105L, 201106L, 201107L, 201108L, 201109L ), TOT_TESTS = c(66L, 98L, 109L, 122L, 113L, 111L, 113L, 146L, 124L, 130L, 120L, 349L, 393L, 376L, 371L, 396L, 367L, 406L, 383L, 394L, 412L, 379L)), .Names = c("X", "RESULT", "YR_MO", "TOT_TESTS" ), class = "data.frame", row.names = c(NA, -22L))   Currently there are 2 observations for each month...

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

...127L, 62L, 129L, 126L, 99L, 183L, 45L, 57L, 45L, 72L, 30L, 71L, 123L, 89L, 102L, 60L, 44L, 59L, 124L, 145L, 126L, 103L, 67L, 97L, 66L, 76L, 108L, 36L, 48L, 41L, 69L, 47L, 57L, 167L, 136L, 176L, 85L, 36L, 82L, 222L, 149L, 171L, 145L, 122L, 192L, 136L, 164L, 154L, 46L, 57L, 57L, 70L, 55L, 102L, 111L, 152L, 204L, 41L, 46L, 103L, 156L, 148L, 155L, 103L, 124L, 176L, 111L, 142L, 187L, 43L, 52L, 75L, 64L, 91L, 78L, 196L, 314L, 265L, 44L, 39L, 98L, 197L, 273L, 274L, 89L, 91L, 74L, 91L, 112L, 98L, 140L, 90L, 121L, 120L, 161L, 83L, 230L, 266L, 282L, 35L, 53L, 57L, 315L, 332L, 202L, 90L, 79L, 89L,...

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

...210156080, 1210164180, 1210176840, 1210183740), class = c("POSIXct", "POSIXt"), tzone = ""), Score = c(80L, 11L, 81L, 152L, 130L, 122L, 142L, 20L, 1L, 31L, 93L, 136L, 128L, 112L, 48L, 57L, 92L, 108L, 100L, 107L, 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)), .Names = c("Date", "Score"), row.names = c(NA, 50L), class = "data.frame") I'm trying to round the time down to the nearest half hour, without losing the date...

...ron(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, 79L, 98L, 112L...

...210677660, 1210686960, 1210695240, 1210705380), class = c("POSIXct", "POSIXt"), tzone = ""), Score = c(80L, 11L, 81L, 152L, 130L, 122L, 142L, 20L, 1L, 31L, 93L, 136L, 128L, 112L, 48L, 57L, 92L, 108L, 100L, 107L, 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,...

...L,? 254L, 41L, 483L, 64L, 405L, 108L, 236L, 384L, 467L, 49L, 283L,? 119L, 463L, 147L, 379L, 216L, 474L, 204L, 48L, 260L, 12L, 337L,? 187L, 271L, 31L, 289L, 172L, 35L, 408L, 164L, 91L, 351L, 443L,? 436L, 469L, 186L, 472L, 297L, 50L, 425L, 224L, 3L, 221L, 11L,? 391L, 33L, 243L, 247L, 152L, 98L, 482L, 111L, 257L, 155L, 47L,? 10L, 468L, 270L, 313L, 86L, 293L, 160L, 168L, 409L, 170L, 84L,? 180L, 76L, 99L, 214L, 15L, 414L, 394L, 450L, 4L, 61L, 339L, 342L,? 1L, 470L, 210L, 37L, 345L, 115L, 141L, 302L, 178L, 445L, 6L,? 466L, 285L, 174L, 201L, 114L, 369L, 390L, 69L, 420L, 464L, 269L,? 455L, 382L, 25L, 123L...

...3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 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...

..., 55L, 56L, 57L, 58L, 60L, 61L, 68L, 79L, 90L, 93L, 94L, 95L, 96L, 97L, 98L, 69L, 70L, 71L, 72L, 73L, 74L, 75L, 76L, 77L, 78L, 80L, 81L, 82L, 83L, 84L, 85L, 86L, 87L, 88L, 89L, 91L, 92L, 99L, 110L, 121L, 123L, 124L, 125L, 126L, 127L, 128L, 100L, 101L, 102L, 103L, 104L, 105L, 106L, 107L, 108L, 109L, 111L, 112L, 113L, 114L, 115L, 116L, 117L, 118L, 119L, 120L, 122L, 2L, 13L, 24L, 27L, 28L, 29L, 30L, 31L, 32L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 25L, 26L, 33L, 34L, 35L, 36L), .Label = c("", "10/1/2008", "10/10/2008"...

...159L, 157L, 158L, 156L, 154L, 155L, 153L, 151L, 152L, 148L, 150L, 149L, 147L, 145L, 146L, 142L, 143L, 144L, 139L, 140L, 141L, 138L, 137L, 136L, 135L, 133L, 134L, 132L, 130L, 131L, 127L, 129L, 128L, 126L, 124L, 125L, 121L, 122L, 123L, 120L, 118L, 119L, 117L, 115L, 116L, 112L, 114L, 113L, 109L, 110L, 111L, 106L, 108L, 107L, 105L, 103L, 104L, 102L, 100L, 101L, 99L, 97L, 98L, 94L, 96L, 95L, 93L, 91L, 92L, 90L, 88L, 89L, 85L, 86L, 87L, 84L, 82L, 83L, 81L, 79L, 80L, 76L, 77L, 78L, 75L, 73L, 74L, 72L, 70L, 71L, 69L, 67L, 68L, 66L, 64L, 65L, 61L, 62L, 63L, 60L, 58L, 59L, 55L, 56L, 57L, 54L, 52L, 53L, 51L,...

...;, "color", "ordered", "pchloc"), row.names = c(98L, 99L, 71L, 100L, 70L, 51L, 68L, 83L, 34L, 35L, 82L, 50L, 42L, 46L, 63L, 62L, 43L, 6L, 44L, 87L, 5L, 31L, 61L, 79L, 55L, 36L, 67L, 2L, 32L, 108L, 47L, 66L, 86L, 88L, 122L, 11L, 16L, 94L, 95L, 115L, 123L, 24L, 80L, 78L, 111L, 103L, 3L, 22L, 23L, 10L, 107L, 97L, 75L, 96L, 106L, 102L, 118L, 7L, 110L, 30L, 59L, 76L, 114L, 74L, 104L, 1L, 64L, 73L, 54L, 58L, 19L, 69L, 92L, 14L, 119L, 18L, 127L, 41L, 15L, 8L, 49L, 91L, 65L, 120L, 113L, 93L, 17L, 126L, 29L, 105L, 90L, 77L, 81L, 45L, 38L, 85L, 39L, 53L, 9L, 121L, 125L, 109L, 1...

I have data in a file named hands.dat, which is given at the end of this question. (It's from a stats textbook example on anova). I'd like to do an aov on this, which I guess would be d <- read.table("~/hands.dat", header=TRUE) aov(Bacterial.Counts ~ Water + Soap + Antibacterial.Soap + Alcohol.Spray, data=d) but this fails. Do I need to break d$Method up into columns for

...239L, 266L, 246L, 194L, 195L, 157L, 119L, 148L, 163L, 146L, 167L, 137L, 109L, 142L, 156L, 181L, 302L, 373L, 450L, 457L, 497L, 467L, 486L, 499L, 9L, 1L, 4L, 470L, 247L, 216L, 284L, 127L, 108L, 107L, 129L, 134L, 105L, 99L, 95L, 97L, 97L, 111L, 138L, 160L, 180L, 211L, 187L, 216L, 253L, 283L, 291L, 323L, 327L, 295L, 296L, 292L, 210L, 270L, 374L, 3L, 484L, 42L, 47L, 51L, 121L, 123L, 198L, 337L, 336L, 385L, 55L, 60L, 54L, 71L, 78L, 70L, 64L, 436L, 67L, 79L, 93L, 129L, 133L, 152...

Dear R user I want to create a table (as below) to summarize the attached data (Test.csv, which can be read into R by using 'read.csv(Test.csv, header=F)' ), to indicate the day that there are any data available, e.g.value=1 if there are any data available for that day, otherwise value=0. 28/04 29/04 30/04 01/05 02/05 532703 0 1 1

...???????????497L, >467L, 486L, 499L, 9L, 1L, 4L, 470L, 247L, 216L, 284L,? > >???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????127L, >108L, 107L, 129L, 134L, 105L, 99L, 95L, 97L, 97L, 111L,? > >????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????138L, >160L, 180L, 211L, 187L, 216L, 253L, 283L, 291L, 323L,? > >??????????????????????????????????????????????????????????...

...127L, 141L, 155L, 169L, 183L, 197L, 211L, 225L, 239L, 253L, 267L, 281L, 295L, 309L, 323L, 337L, 351L, 365L, 379L, 393L, 407L, 421L, 435L, 449L, 463L, 477L, 491L, 505L, 519L, 533L, 547L, 561L, 575L, 589L, 603L, 617L, 631L, 645L, 659L, 673L, 687L, 701L, 715L, 729L, 13L, 27L, 41L, 55L, 69L, 83L, 97L, 111L, 126L, 140L, 154L, 168L, 182L, 196L, 210L, 224L, 238L, 252L, 266L, 280L, 294L, 308L, 322L, 336L, 350L, 364L, 378L, 392L, 406L, 420L, 434L, 448L, 462L, 476L, 490L, 504L, 518L, 532L, 546L, 560L, 574L, 588L, 602L, 616L, 630L, 644L, 658L, 672L, 686L, 700L, 714L, 728L, 12L, 26L, 40L, 54L, 68L, 82L, 96L,...