search for: 98l

...", "G", "H", "I", "K", "L", "M", "N", "P", "Q", "R", "S", "T", "V", "Y"), class = "factor"), ratio = c(99L, 100L, 100L, 1L, 99L, 100L, 100L, 1L, 98L, 100L, 10L, 87L, 3L, 79L, 9L, 12L, 84L, 99L, 1L, 83L, 13L, 100L, 100L, 100L, 100L, 99L, 100L, 100L, 100L, 98L, 2L, 100L, 100L, 100L, 2L, 98L, 100L, 100L, 1L, 99L, 100L, 100L, 98L, 100L, 95L, 5L, 98L, 2L, 3L, 95L, 1L, 1L, 98L)), .Names = c("position", "residue", "ratio"...

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

...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, 93.25, 8.75, 10.5, 35, 19, 7...

...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, -114L, -118L, -102L, -109L, -101L, -101L, -74L, -78L, -63L, -67L, -75L, -65L, -60L, -62L, -67L, -59L, -62L, -68L, -61L, -58L, -69L, -57L, -59L, -...

...= c("NEG", "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 obs...

...r of Fisher Scoring iterations: 6 > dput (skn300.tab) structure(list(n = 1:97, freq = c(0L, 0L, 0L, 0L, 1L, 7L, 40L, 100L, 276L, 543L, 952L, 1414L, 1853L, 2199L, 2435L, 2270L, 2042L, 1679L, 1386L, 1108L, 922L, 792L, 642L, 597L, 453L, 424L, 370L, 297L, 278L, 218L, 208L, 172L, 174L, 149L, 124L, 98L, 98L, 67L, 78L, 67L, 46L, 34L, 31L, 42L, 34L, 21L, 28L, 18L, 18L, 18L, 10L, 19L, 6L, 9L, 10L, 6L, 6L, 5L, 3L, 9L, 4L, 3L, 4L, 5L, 2L, 6L, 4L, 2L, 2L, 3L, 3L, 0L, 0L, 0L, 0L, 2L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 2L, 1L, 0L, 0L, 0L, 0L, 2L, 0L, 0L, 0L, 1L), kum = c(0L, 0L, 0L, 0L, 1L, 8L,...

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;gicam"), class = "factor"), Sq122.median = c(2.335835, 1.76091, 1.64717, 1.285505, 1.572405, 1.86761, 1.82541, 1.62458, 0.157813, 0.864523)), .Names = c("SPECSHOR", "Sq122.median"), class = "data.frame", row.names = c(9L, 16L, 23L, 74L, 83L, 90L, 98L, 109L, 121L, 139L)) par(mfrow=c(2,2)) ## not necessary in that example, but I do need it with my real data boxplot(Sq122.median~SPECSHOR, data=df, horizontal=TRUE) ## the upper label on the y-axis (gicam) is not shown I know I can decrease the size of the labels by setting cex.axis=0.8, but...

...3L, 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, 6...

Dear XpeRts, I prepared a no qoute Character string by the following command s<-noquote(paste (b1, collapse=",")) where, b1 is the vector of 24 intergers. > dput(b1) c(1L, 2L, 6L, 7L, 12L, 16L, 17L, 20L, 21L, 23L, 25L, 34L, 46L, 48L, 58L, 64L, 65L, 68L, 82L, 97L, 98L, 101L, 113L, 115L) > dput(s) structure("1,2,6,7,12,16,17,20,21,23,25,34,46,48,58,64,65,68,82,97,98,101,113,115", class = "noquote") I want to use "s" in the following command matb1<-res[,c(s))] The objective is to call those columns of matrix "res&quot...

...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, 26L, 46L, 65...

...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, 67L, 116L, 109L, 44L, 68L, 75L, 29L, 52L, 52L, 253L, 203L, 87L, 105L, 234L, 152L, 247L, 243L, 144L, 167L, 165L, 95L, 300L, 128L, 125L, 84L, 183L,...

...= c(20L, 45L, 90L, 21L, 80L, 77L, 30L, 80L, 36L, 9L, 62L, 71L, 20L, 65L, 10L, 70L, 50L, 80L, 90L, 97L, 94L, 82L, 30L, 10L, 65L, 80L, 90L, 70L, 10L, 50L, 60L, 40L, 10L, 45L, 10L, 10L, 15L, 10L, 8L, 35L, 10L, 40L, 10L, 10L, 28L, 5L, 45L, 35L, 2L, 10L, 40L, 2L, 70L, 40L, 20L, 30L, 50L, 60L, 10L, 100L, 98L, 98L, 90L, 87L, 87L, 40L, 97L, 92L, 70L, 50L, 81L, 35L, 70L, 89L, 28L, 28L, 82L, 81L, 33L, 80L, 40L, 40L, 60L, 30L, 5L, 50L, 70L, 75L, 85L, 95L, 93L, 80L, 80L, 60L, 82L, 60L, 5L, 70L, 80L, 40L), gravel = c(8L, 45L, 7L, 5L, 10L, 5L, 35L, 7L, 45L, 60L, 0L, 0L, 5L, 8L, 25L, 0L, 45L, 15L, 0L, 1L, 2L, 5...

...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", "1/16/08 11:36", "1/16/08 15:29", "1/21/08 11:21", "1/21/08 14:18", "1/22...

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

...uot;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="Y&qu...

...____________________________ From: eliza botto <eliza_botto at hotmail.com> To: "smartpink111 at yahoo.com" <smartpink111 at yahoo.com> Sent: Wednesday, February 27, 2013 8:47 AM Subject: RE: matrix multiplication there you go >dput(eliza) structure(c(428L, 359L, 353L, 498L, 169L, 46L, 29L, 444L, 194L,? 439L, 284L, 79L, 226L, 105L, 106L, 326L, 234L, 196L, 417L, 190L,? 480L, 275L, 478L, 341L, 197L, 395L, 85L, 295L, 70L, 18L, 471L,? 218L, 19L, 43L, 280L, 427L, 229L, 5L, 205L, 494L, 393L, 307L,? 465L, 383L, 265L, 103L, 348L, 166L, 58L, 320L, 14L, 107L, 440L,? 24L, 347L,...

...like to avoid that it at all possible. Sample of 2 subjects: sample1 <- structure(list(ID = c(71622L, 71622L, 71622L, 71622L, 71622L, 71622L, 71622L, 71622L, 71622L, 1436L), Age = c(0.008, 0.085, 0.123, 0.277, 0.441, 0.517, 0.594, 0.715, 0.791, 6.968), DaysEnrolled = c(0L, 28L, 42L, 98L, 158L, 186L, 214L, 258L, 286L, 0L), HAZ = c(NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_), WAZ = c(NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_), WHZ = c(NA_real_, NA_real_, NA_real_, NA_...

...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, 459L, 468L, 472L, 472L, 472L, 478L, 478L, 484L, 484L, 484L, 484L, 484L, 486L, 486L, 486L, 487L, 487L, 487L, 487L,...

...lass"), row.names = c(1L, 2L, 4L, 5L, 6L, 7L, 8L, 12L, 14L, 16L, 17L, 20L, 21L, 23L, 24L, 26L, 27L, 28L, 30L, 31L, 35L, 36L, 37L, 38L, 40L, 41L, 42L, 43L, 44L, 45L, 46L, 47L, 48L, 55L, 56L, 58L, 59L, 61L, 62L, 65L, 66L, 67L, 69L, 71L, 72L, 76L, 78L, 79L, 80L, 88L, 92L, 93L, 94L, 95L, 96L, 97L, 98L, 99L, 100L, 102L, 103L, 104L, 105L, 106L, 107L, 108L, 109L, 112L), class = "data.frame") The data (in the "structure") is removed, but the labels for all LithClass remain. If I then produce a boxplot or some other graphic where LithClass is involved, blank plots are produced fo...