search for: 95l

...L, 60L, 54L, 54L, 54L, 54L, 60L, 60L, 60L, 60L, 54L, 54L, 54L, 54L, 60L, 60L, 60L, 60L, 73L, 73L, 73L, 73L, 79L, 79L, 79L, 79L, 73L, 73L, 73L, 73L, 79L, 79L, 79L, 79L, 73L, 73L, 73L, 73L, 79L, 79L, 79L, 79L, 3L, 3L, 3L, 3L, 9L, 9L, 9L, 9L, 73L, 73L, 73L, 73L, 79L, 79L, 79L, 79L, 89L, 89L, 89L, 89L, 95L, 95L, 95L, 95L, 89L, 89L, 89L, 89L, 95L, 95L, 95L, 95L, 89L, 89L, 89L, 89L, 95L, 95L, 95L, 95L, 89L, 89L, 89L, 89L, 95L, 95L, 95L, 95L, 108L, 108L, 108L, 108L, 114L, 114L, 114L, 114L, 108L, 108L, 108L, 108L, 114L, 114L, 114L, 114L, 108L, 108L, 108L, 108L, 114L, 114L, 114L, 114L, 108L, 108L, 108L, 1...

...uot;", "")), .Names = c("oplt", "tree", "bd1", "bd2", "bda", "ht", "spr", "stat", "dam", "com" ), row.names = c(34L, 462L, 724L, 227L, 228L, 673L, 76L, 123L, 368L, 632L, 281L, 391L, 495L, 199L, 140L, 528L, 604L, 191L, 358L, 689L), class = "data.frame") # dput(ban.nat.1996[sample(row.names(ban.nat.1996), 20),]) bn96 <- structure(list(oplt = c(23L, 33L, 22L, 19L, 27L, 3L, 27L, 19L, 48L, 31L, 54L, 37L, 42L, 45L, 51L, 51L, 27L, 44L, 22L, 33L), tree = c(616L, 709L,...

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

...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, 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....

...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, -67L, -73L, -81L, -90L, -87L, -82L, -80L, -80L, -81L,...

...uot;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"), class = "data.frame", row.names = c("1", "2", "3", "4", "5", "6", "10", "11", "12", &qu...

...gt;>>>>>>>> 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....

...inter <- 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,...

...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, 37L, 43L, 22L, 169L, 49L, 120L, 18L, 60L, 42L, 41L, 38L, 64L, 38L, 32L, 140L, 146L, 106...

...t;-? structure(list(week = c(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, 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), BY2009 = c(0L, 95L, 436L, 809L, 3668L, 9437L, 42700L, 141135L, 486474L, 1109095L, 1459053L, 1990285L, 2643088L, 2988446L, 3131437L, 3280320L, 4237821L, 4270316L, 4285178L, 4292388L, 4302153L, 4308999L, 4314066L, 4320267L, 4323312L, 4429542L, 4430725L, 4430920L, 4437775L, 4448036L, 4452215L, 4452865L, 4453105L, 44...

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

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

...20L, 21L, 22L, 23L, 24L, 25L, 26L), BY2010 = c(0L, 0L, 460L, 1126L, 1755L, 11153L, 27998L, 56336L, 12486L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), BY2009 = c(0L, 95L, 341L, 373L, 2859L, 5769L, 33263L, 98435L, 345339L, 622621L, 349958L, 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, 3...

Hello, It's an alternative to use SAS by function in R? I want to plot d histograms by plot.from example bellow: Thank you! plot d 1 1 16.3 2 1 25.0 3 1 57.8 4 1 17.0 5 2 10.8 13 2 96.4 17 3 76.0 18 3 32.0 19 3 11.0 20 3 11.0 24 3 106.0 25 3 12.5 21 4 19.3 22 4 12.0 26 4 15.0 27 5 99.3 32 7 11.0 36

..., .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, FUN = mean, labels = list(x="Age&quot...

...rtpink111 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, 419L, 135L, 202L, 294L, 173L, 121L, 358L, 51L, 231L,? 118L, 109L, 182L, 219L, 42L, 73L, 435L, 389L, 431L, 81L, 149L,? 388L, 415L, 2...

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

...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, 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, 27L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 40L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L,...

...t;, "LithClass"), 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...

Folks, I have a data frame with columns 200401, 200402, ..., 201207, 201208. These represent years/months. What would be the best way to sum these columns by year? What about by quarter? Thanks for your time, KW -- [[alternative HTML version deleted]]