search for: 104l

...4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c("Fri", "Mon", "Thu", "Tue", "Wed"), class = "factor"), SITE = c(101L, 101L, 102L, 102L, 103L, 103L, 104L, 104L, 101L, 101L, 102L, 102L, 103L, 103L, 104L, 104L, 101L, 101L, 102L, 102L, 103L, 103L, 104L, 104L, 101L, 101L, 102L, 102L, 103L, 103L, 104L, 104L, 101L, 101L, 102L, 102L, 103L, 103L, 104L, 104L), TOD = structure(c(1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2...

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

...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, 65L, 17L, 106L, 20L, 33L, 68L, 6...

Estimados miembros de la lista. Estoy usando 2 funciones del paquete vcd y obtengo resultados que parecen discrepar entre ambas funciones. > dput(peces) c(26L, 63L, 1L, 21L, 20L, 50L, 0L, 104L, 19L, 0L, 8L, 32L, 0L, 24L, 5L, 2L, 0L, 36L, 0L, 5L, 27L, 1L, 13L, 24L, 15L, 25L, 23L, 5L, 37L, 26L, 29L, 14L, 15L) La función Ord_plot me dice que la mejor distribución para los datos es binomial negativa. Ord_plot(peces) La función distplot parece indicar que la mejor distribución es poisson...

...9L, 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", "1/16/...

...quot;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")) fit.lme = lme(grpdat) plot(au...

..., 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, 95L, 230L, 72L, 250L, 473L, 8L, 274L,? 238L, 62L, 461L, 104L, 125L, 128L, 227L, 292L, 430L, 206L, 360L,? 491L, 191L, 142L, 181L, 318L, 484L, 145L, 89L, 233L, 368L, 412L,? 335L, 215L, 146L, 139L, 426L, 375L, 66L, 299L, 438L, 223L, 175L,? 92L, 225L, 276L, 185L, 336L, 371L, 306L, 366L, 319L, 203L, 44L,? 259L, 23L, 132L, 343L, 447L, 457L, 428L, 359L, 353L, 498L,...

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

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

Hello, I have an input file: http://r.789695.n4.nabble.com/file/n3700031/testOut.txt testOut.txt where col 1 is chromosome, column2 is start of region, column 3 is end of region, column 4 and 5 is base position, column 6 is total reads, column 7 is methylation data, and column 8 is the strand. I would like a summary output file such as:

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

I have been working with the pls procedure and have problems getting the procedure to work with matrix or frame data. I suspect the problem lies in my understanding of frames, but can't find anything in the documentation that will help. Here is what I have done: I read in an 10000 x 8 table of data, and assign the first four columns to matrix A and the second four to matrix B pls <-

...L, 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 for the deleted LithClass label...

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]]

...L, 47L, 49L, 50L, 51L, 52L, 53L, 54L, 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/...

...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, 49L, 50L, 46L, 48L, 47L, 43L, 45L,...

...L, 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, 101L, 48L, 52L, 84L, 21L, 60L, 72L, 56L, 124L, 57L, 12L, 112L, 13L, 4L, 26L, 89L, 116L, 27L, 128L, 20L, 117...

...ATG = c(0.0152, 0.0161, 0.0141, 0.0131, 0.0108, 0, 0, 0, 0, 1e-04, 0.0056, 0.0078, 0.0072, 0.0047, 0.0091, 3e-04, 5e-04, 0, 0.0013, 0.0012)), .Names = c("DIET", "SILIKATG"), row.names = c(1L, 2L, 3L, 4L, 5L, 31L, 32L, 33L, 34L, 35L, 61L, 62L, 63L, 64L, 65L, 101L, 102L, 103L, 104L, 105L), class = "data.frame") 1. The first plot I want to do is: plot(test$SILIKATG, ylim=c(0,0.02), type="l") It looks the way I want to, but my question is:* How to change the labels on the x-axis? I would like to have the groups ("G", "GG", "L&quo...

...t;NEG", "NON", "POS", "SUI"), class = "factor"), V4 = c(2L, 1L, 4L, 1L, 4L, 2L, 0L, 2L, 4L, 1L, 2L, 3L, 2L, 1L, 3L, 0L, 4L, 1L, 4L, 1L ), V5 = c(1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L), V6 = c(878L, 145L, 112L, 104L, 112L, 96L, 112L, 168L, 192L, 112L, 192L, 200L, 200L, 199L, 32L, 201L, 176L, 200L, 224L, 120L)), .Names = c("V1", "V2", "V3", "V4", "V5", "V6"), row.names = c(NA, 20L), class = "data.frame"), structure(list( ? ? V1 = c(0L, 0L...

hello, On Mon, 16 Jun 2008, Joey Hess wrote: > klibc cpio segfaults extracting various cpio files. It seems to work for > small files, but fail for larger ones, including the d-i root floppy > image. > > For example: > > joey at kodama:/tmp/empty>wget http://people.debian.org/~joeyh/d-i/images/20080401-09:01/floppy/root.img > joey at kodama:/tmp/empty>zcat