search for: 300l

I used this service several months ago and was very pleased with the response. I have a dataframe with several thousand lines and to each line I need to apply a series of "if else" statements. For each row I need either a value or a blank/NA. Below is the series of if else statements I have been trying without success to integrate into a function such as "apply". if

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:

...L), class = "data.frame") datain ## salida dataout <- structure(list(REF = c(999L, 999L, 999L, 1099L, 731L, 731L, 731L, 731L, 1442L, 1442L, 1442L, 1442L), TIMEREF = c(120L, 240L, 360L, 30L, 30L, 60L, 90L, 120L, 30L, 60L, 90L, 120L), TOENDREF = c(390L, 270L, 150L, 120L, 90L, 30L, 420L, 300L, 270L, 210L, 120L, 0L), NEWREF = c(999L, 999L, 999L, 999L, 999L, 999L, 731L, 731L, 731L, 731L, 731L, 731L)), .Names = c("REF", "TIMEREF", "TOENDREF", "NEWREF"), row.names = c(NA, 12L), class = "data.frame") dataout A continuacion describo...

...ida > > dataout <- structure(list(REF = c(999L, 999L, 999L, 1099L, 731L, 731L, > > 731L, > > 731L, 1442L, 1442L, 1442L, 1442L), TIMEREF = c(120L, 240L, 360L, > > 30L, 30L, 60L, 90L, 120L, 30L, 60L, 90L, 120L), TOENDREF = c(390L, > > 270L, 150L, 120L, 90L, 30L, 420L, 300L, 270L, 210L, 120L, 0L), > > NEWREF = c(999L, 999L, 999L, 999L, 999L, 999L, 731L, 731L, > > 731L, 731L, 731L, 731L)), .Names = c("REF", "TIMEREF", "TOENDREF", > > "NEWREF"), row.names = c(NA, 12L), class = "data.frame") >...

...82L, 219L, 42L, 73L, 435L, 389L, 431L, 81L, 149L,? 388L, 415L, 256L, 312L, 446L, 45L, 162L, 485L, 154L, 55L, 153L,? 137L, 290L, 93L, 40L, 110L, 167L, 315L, 266L, 317L, 314L, 264L,? 277L, 488L, 28L, 354L, 303L, 490L, 192L, 432L, 228L, 222L, 418L,? 323L, 244L, 239L, 193L, 120L, 116L, 148L, 57L, 246L, 300L, 143L,? 208L, 400L, 78L, 273L, 411L, 401L, 476L, 262L, 159L, 195L, 102L,? 75L, 136L, 402L, 32L, 199L, 286L, 477L, 54L, 429L, 80L, 316L,? 30L, 333L, 387L, 452L, 324L, 456L, 39L, 138L, 113L, 448L, 377L,? 122L, 441L, 396L, 454L, 497L, 161L, 21L, 117L, 413L, 94L, 459L,? 156L, 365L, 322L, 397L, 88L, 207...

Hi R-users,   I would like to search for the values of seq that match my rand values.  In excel I will use =VLOOKUP(G2,$E$2:$F$32,2).  For example, for rand=.262 it will give me approximately seq=120 and rand=0.964293344, seq=460 and etc.   E           F     G cdf         seq   rand 0.00E+00    0     0.262123478 1.56E-03    20    0.964293344 1.55E-02    40    0.494827113 5.30E-02    60   

...0L, 0L, 10L, 195L, 60L, 29L, 29L, 1L, 107L, 698L, 596L, 655L, 227L, 287L, 677L, 1477L, 1336L, 425L, 873L, 961L, 1360L, 1175L), V7 = c(249L, 101L, 69L, 0L, 18L, 186L, 331L, 291L, 259L, 248L, 336L, 404L, 642L, 632L, 775L, 455L, 801L, 697L, 1063L, 978L, 626L, 686L, 1204L, 1138L, 627L), V8 = c(300L, 163L, 65L, 145L, 377L, 257L, 690L, 655L, 420L, 288L, 346L, 461L, 1276L, 897L, 633L, 812L, 1018L, 1337L, 1295L, 1163L, 550L, 1104L, 768L, 933L, 433L), V9 = c(555L, 478L, 374L, 349L, 357L, 360L, 905L, 954L, 552L, 438L, 703L, 984L, 1616L, 1732L, 1234L, 1213L, 1518L, 1746L, 1191L, 967L, 1394L,...

...7, 26.39829, 11.07653, > ? 3.319892, 8.356013, 4.484025), Rexp = c(78433.04, 14106, > ? 4670.345, 9326.914, 3519.494, 573554.6, 27154.07, 3695.473, > ? 14582.2, 13297.71)), .Names = c("Peb", "Ksub", "Sub", "Xtt", > "Rexp"), row.names = c(300L, 196L, 70L, 150L, 31L, 319L, 251L, > 40L, 200L, 191L), class = "data.frame") > > Please help. > > SADAF ZAIDI > > Department of > Aligarh Muslim University > Aligarh 202002. > > > Department of > Aligarh Muslim University > Aligarh 202002. > &g...

Hello Members, I need to group a data.frame in a a specific way, like shown below, DF raw is like this, id col1 col2 score 1 A B 40 2 B C 55 3 C D 4000 4 D E 100 5 E F 300 I want the out put as List [1] A B C [2] D E [3] F Basically the split should be based on the DF$score > 200, and all the col1 and col2 values should be

..., 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, 88L, 153L, 185L, 175L, 226L, 216L, 118L, 118L, 94L, 224L, 259L, 176L, 175L, 147L, 197L, 141L, 176L, 187L, 87L, 92L, 148L, 86L, 139L, 122L), country = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L,...

Hello, I'm a new R user. I have two different dummy tables with the variable name tb1 and tb2. tb1< v1 v2 v3 v4 "chr1" 22 23 3 "chr1" 36 37 1 "chr1" 54 55 0 "chr1" 77 78 1 "chr2" 80 81 4 "chr2" 85 86 0 "chr2" 99 100 1

I have a dataframe of animal locations that I need to have in incremental order so that I can calculate the distance traveled between each time step. However, I have identified a few values that don't seem to sort properly. For instance, the last value in the table below should be the first value after sorting, since its time value is '00:01:35'. But, for some reason, it seems to be

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

...f1da4001110 initfield = 0x7f1dc8a28960 "id" op = 0x7f1e01e93b2d "" field = 0x0 stringp = 0x7f1dc8a29300 "4\377\340\314\035\177" chunk = 0x4dbc40 <_dtor_lock+47> "\311\303UH\211\345SH\203\354XH\211}?u\304H\211U\270\211M\300L\211E\260D\211M\254H\307", <incomplete sequence \340> collen = 0 res = 0 x = 8981696 var = 0x0 cfg = 0x0 cat = 0x0 connected_flag = {flags = 4} colsize = 139766825746481 colcount = 0 datatype = 0 decim...

..., 317L, 331L, 345L, 359L, 373L, 387L, 401L, 415L, 429L, 443L, 457L, 471L, 485L, 499L, 513L, 527L, 541L, 555L, 569L, 583L, 597L, 611L, 625L, 639L, 653L, 667L, 681L, 695L, 709L, 723L, 6L, 20L, 34L, 48L, 62L, 76L, 90L, 104L, 118L, 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,...

I read enourmous comment about this questions stating that it was answered before.? I?have been looking for the answer for a week without luck !!!? I searched the archives the xts. vignitte , googled for an answer but couldn't find one so her it is: ? the Vignette states that xts "doesn't inforce the duplicate row requirement" but yet when I try to bring in tick stock data from

...359L, 373L, 387L, 401L, 415L, 429L, 443L, 457L, 471L, 485L, > 499L, 513L, 527L, 541L, 555L, 569L, 583L, 597L, 611L, 625L, 639L, > 653L, 667L, 681L, 695L, 709L, 723L, 6L, 20L, 34L, 48L, 62L, 76L, > 90L, 104L, 118L, 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...

...1L, 415L, 429L, 443L, 457L, 471L, 485L, > > 499L, 513L, 527L, 541L, 555L, 569L, 583L, 597L, 611L, 625L, 639L, > > 653L, 667L, 681L, 695L, 709L, 723L, 6L, 20L, 34L, 48L, 62L, 76L, > > 90L, 104L, 118L, 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, 20...

Hello, These last 2 months, I have talked again with Monty Montgomery about the NHW Project and he told me that Xiph.org would like to encourage the NHW Project development.That's just great! I'll see what Monty will do on his side (and when he has time), but he also told me that the NHW codec has merits but there must be an effort to demonstrate them. The advantages, merits of the NHW

...L, 468L, 396L, 423L, 431L, 427L, 424L, 375L, 358L, 324L, 309L, 341L, 362L, 421L, 445L, 501L, 512L, 19L, 6L, 20L, 32L, 31L, 36L, 27L, 12L, 146L, 89L, 91L, 89L, 89L, 112L, 141L, 144L, 160L, 141L, 129L, 127L, 155L, 186L, 215L, 219L, 246L, 300L, 293L, 280L, 351L, 384L, 390L, 397L, 347L, 200L, 195L, 175L, 91L, 106L, 114L, 97L, 110L, 102L, 85L, 91L, 100L, 130L, 140L, 159L, 167L, 191L, 243L, 231L, 236L, 255L, 262L, 281L, 294L, 244L, 166L, 186L, 191L, 111L, 131L, 137L, 178L, 176L...