search for: 115l

...ar 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", whose numbers h...

...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, 8L, 60L, 2L, 48L,...

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, 16...

...""), 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, 127L, 129L, 87L, 61L, 70L, 85L, 110L, 131L, 151L, 123L, 50L, 77L, 100L, 135L, 151L)), .Names = c("Date&...

..., 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, 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, 215...

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

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

...L, 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", "10/11/2008"...

...167L, 163L, 165L, 164L, 162L, 160L, 161L, 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, 58...

..."f", "N", "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, 5...

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

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

...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, 152L, 135L, 164L, 191L, 183L, 81L, 94L, 74L, 90L, 77L, 62L, 57L, 74L, 71L, 71L, 77L, 72L, 63L, 77L, 83L, 63L, 68L, 83L, 71L, 81L, 73L, 70L, 81L, 91L, 91L, 78L, 93L, 75L, 71L, 64L, 62L, 51L, 56L, 47L, 51L, 93L, 66L, 74L,...

..., 132L, 146L, 160L, 174L, 188L, 202L, 216L, 230L, 244L, 258L, 272L, 286L, 300L, 314L, 328L, 342L, 356L, 370L, 384L, 398L, 412L, 426L, 440L, 454L, 468L, 482L, 496L, 510L, 524L, 538L, 552L, 566L, 580L, 594L, 608L, 622L, 636L, 650L, 664L, 678L, 692L, 706L, 720L, 3L, 17L, 31L, 45L, 59L, 73L, 87L, 101L, 115L, 131L, 145L, 159L, 173L, 187L, 201L, 215L, 229L, 243L, 257L, 271L, 285L, 299L, 313L, 327L, 341L, 355L, 369L, 383L, 397L, 411L, 425L, 439L, 453L, 467L, 481L, 495L, 509L, 523L, 537L, 551L, 565L, 579L, 593L, 607L, 621L, 635L, 649L, 663L, 677L, 691L, 705L, 719L, 2L, 16L, 30L, 44L, 58L, 72L, 86L, 100L,...

...174L, 188L, 202L, 216L, 230L, > 244L, 258L, 272L, 286L, 300L, 314L, 328L, 342L, 356L, 370L, 384L, > 398L, 412L, 426L, 440L, 454L, 468L, 482L, 496L, 510L, 524L, 538L, > 552L, 566L, 580L, 594L, 608L, 622L, 636L, 650L, 664L, 678L, 692L, > 706L, 720L, 3L, 17L, 31L, 45L, 59L, 73L, 87L, 101L, 115L, 131L, > 145L, 159L, 173L, 187L, 201L, 215L, 229L, 243L, 257L, 271L, 285L, > 299L, 313L, 327L, 341L, 355L, 369L, 383L, 397L, 411L, 425L, 439L, > 453L, 467L, 481L, 495L, 509L, 523L, 537L, 551L, 565L, 579L, 593L, > 607L, 621L, 635L, 649L, 663L, 677L, 691L, 705L, 719L, 2L, 16L, > 30L, 4...

...6L, 230L, > > 244L, 258L, 272L, 286L, 300L, 314L, 328L, 342L, 356L, 370L, 384L, > > 398L, 412L, 426L, 440L, 454L, 468L, 482L, 496L, 510L, 524L, 538L, > > 552L, 566L, 580L, 594L, 608L, 622L, 636L, 650L, 664L, 678L, 692L, > > 706L, 720L, 3L, 17L, 31L, 45L, 59L, 73L, 87L, 101L, 115L, 131L, > > 145L, 159L, 173L, 187L, 201L, 215L, 229L, 243L, 257L, 271L, 285L, > > 299L, 313L, 327L, 341L, 355L, 369L, 383L, 397L, 411L, 425L, 439L, > > 453L, 467L, 481L, 495L, 509L, 523L, 537L, 551L, 565L, 579L, 593L, > > 607L, 621L, 635L, 649L, 663L, 677L, 691L, 705L, 719L,...

...55L, 366L, 394L, 420L, 426L, 432L, 434L, 451L, 464L, 435L, 306L, 384L, 392L, 352L, 374L, 364L, 317L, 329L, 349L, 409L, 449L, 458L, 462L, 503L, 10L, 2L, 511L, 7L, 513L, 5L, 8L, 492L, 151L, 126L, 153L, 174L, 179L, 203L, 182L, 132L, 131L, 115L, 149L, 169L, 177L, 171L, 193L, 223L, 243L, 284L, 271L, 282L, 303L, 380L, 442L, 433L, 379L, 463L, 454L, 69L, 80L, 77L, 87L, 101L, 139L, 132L, 138L, 75L, 66L, 83L, 110L, 135L, 136L, 137L, 139L, 94L, 481L, 476L, 509L, 57L, 509L, 500L, 249...

Hello, I have a pedigree file such this: FAMID ID FA ID MO ID SEX STATUS 1 1 0 0 2 0 1 2 3 1 2 2 1 4 3 1 1 2 1 5 3 1 1 0 1 6 3 1 1 0 1 7 3 1 2 2 1 8 3 1 1 0 1 9 3 1 1 0 1 10 3 1 2 0 1 11 3 1 1 0 1 3 0 0 1 0 2 12 13

R Experts, I have a dataframe made up of character vectors--these are results from survey questions. I need to convert them to factors. I tried the following which did not work: scs2<-sapply(scs2,as.factor) also this didn't work: scs2<-sapply(scs2,function(x) as.factor(x)) After doing either of above I end up with >str(scs2) chr [1:10, 1:10] "very important" "very

...????????????????458L, >462L, 503L, 10L, 2L, 511L, 7L, 513L, 5L, 8L, 492L,? > >???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????151L, >126L, 153L, 174L, 179L, 203L, 182L, 132L, 131L, 115L,? > >????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????149L, >169L, 177L, 171L, 193L, 223L, 243L, 284L, 271L, 282L,? > >??????????????????????????????????????????????????????????...