search for: 306l

...L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L), year = c(110L, 110L, 110L, 110L, 110L, 110L, 110L, 110L, 110L, 110L, 110L, 110L, 110L, 110L, 110L, 110L, 110L, 110L, 110L, 110L, 110L), wday = c(1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L), yday = c(304L, 305L, 306L, 307L, 308L, 311L, 312L, 313L, 314L, 315L, 318L, 319L, 320L, 321L, 322L, 325L, 326L, 327L, 328L, 329L, 332L), isdst = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L)), .Names = c("sec", "min", "hour", "mday", "mon...

...), class = "data.frame", row.names = c(12L, 13L, 14L, 19L, 25L, 26L, 28L, 34L, 35L, 36L, 37L, 42L, 44L, 58L, 75L, 85L, 88L, 91L, 97L, 107L, 142L, 144L, 155L, 166L, 169L, 185L, 186L, 201L, 202L, 207L, 219L, 221L, 222L, 224L, 226L, 230L, 231L, 250L, 251L, 258L, 283L, 287L, 288L, 303L, 304L, 306L, 311L, 313L))) library(lattice) library(ggplot2) z <- nls(GPP~(a/(TSS+b)), start=c(a=0.01, b=0.01), data=r) f <- seq(-1, 29, length=100) y <- coef(z)["a"]/(f+coef(z)["b"]) pred <- data.frame(GPP = f, TSS = y) #this is what I can do qplot(TSS, GPP, data=r, colour=as...

..."Yield", "CDS Spread"), class = "factor"), value = c(86.777, 86.037, 86.437, 9.737, 9.542, 9.683, 580.132, 576.866, 573.564)), .Names = c("Date", "variable", "value" ), row.names = c(100L, 101L, 102L, 202L, 203L, 204L, 304L, 305L, 306L), class = "data.frame") > g Date variable value 100 2011-12-23 Price 86.8 101 2011-12-30 Price 86.0 102 2012-01-06 Price 86.4 202 2011-12-23 Yield 9.7 203 2011-12-30 Yield 9.5 204 2012-01-06 Yield 9.7 304 2011-12-23 CDS Spread 580.1 3...

...9L,? 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, 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,...

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

..., 329L, 363L, 405L, 444L, 446L, 448L, 440L, 447L, 455L, 432L, 439L, 417L, 393L, 344L, 289L, 234L, 267L, 283L, 287L, 330L, 383L, 358L, 365L, 340L, 333L, 320L, 297L, 313L, 394L, 406L, 388L, 387L, 416L, 418L, 403L, 365L, 356L, 319L, 304L, 306L, 346L, 354L, 294L, 295L, 400L, 419L, 401L, 404L, 398L, 410L, 425L, 437L, 424L, 382L, 391L, 397L, 407L, 415L, 298L, 225L, 191L, 209L, 184L, 188L, 207L, 241L, 264L, 290L, 288L, 323L, 377L, 357L, 359L, 430L, 389L, 401L, 384L, 373L, 459L,...

...), class = "data.frame", row.names = c(12L, 13L, 14L, 19L, 25L, 26L, 28L, 34L, 35L, 36L, 37L, 42L, 44L, 58L, 75L, 85L, 88L, 91L, 97L, 107L, 142L, 144L, 155L, 166L, 169L, 185L, 186L, 201L, 202L, 207L, 219L, 221L, 222L, 224L, 226L, 230L, 231L, 250L, 251L, 258L, 283L, 287L, 288L, 303L, 304L, 306L, 311L, 313L))) library(lattice) z <- nls(GPP~(a/(TSS+b)), start=c(a=0.01, b=0.01), data=r) f <- seq(-1, 29, length=100) y <- coef(z)["a"]/(f+coef(z)["b"]) xyplot(GPP~TSS, data=r, xlim=c(-0.5, 29), groups=RiverMile ,auto.key=TRUE , pch=20 ,panel=function(...) {panel.xy...

...???????????????????358L, >365L, 340L, 333L, 320L, 297L, 313L, 394L, 406L, 388L,? > >???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????387L, >416L, 418L, 403L, 365L, 356L, 319L, 304L, 306L, 346L,? > >???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????354L, >294L, 295L, 400L, 419L, 401L, 404L, 398L, 410L, 425L,? > >?????????????????????????????????????????????????????...

...???????????????????????????????????358L, 365L, 340L, 333L, 320L, 297L, 313L, 394L, 406L, 388L,? ???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????387L, 416L, 418L, 403L, 365L, 356L, 319L, 304L, 306L, 346L,? ???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????354L, 294L, 295L, 400L, 419L, 401L, 404L, 398L, 410L, 425L,? ?????????????????????????????????????????????????????????????????????????...

...0, 0}) = 1 (out [4], left {59, 999998}) write(4, "\4\200\0\7\346_\363\36\33\320}Dd\5_\327\250\237i\242?B\276e\245\202Z\213\301[\25S"..., 32776) = 32776 select(6, [5], [4], [5], {60, 0}) = 1 (out [4], left {59, 999998}) write(4, "\4\200\0\7\330\303\221\357\225\37h\373\366X\306L\f>\234\\%n\253\266\5\372c\257>V\366\255"..., 32776) = 32776 select(6, [5], [4], [5], {60, 0}) = 1 (out [4], left {59, 999998}) write(4, "\4\200\0\7i\301\17u\224{/O\213\330\33\317\272\246\221\22\261|w\244\5\307|\21\373\v\356k"..., 32776) = 32776 select(6, [5], [4], [5], {6...

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

...oloop.c:525 #24 0x00007fafdc25b1ad in master_service_run (service=0x20395b0, callback=0x404e74 <client_connected>) at master-service.c:566 #25 0x00000000004050d6 in main (argc=1, argv=0x2039390) at main.c:123 strace shows this: read(11, "\27\3\1\0 q\r\252\3551\21\237l\33\330\33\303\340\306l\334k\0360p\303)HF\331\234g"..., 1261) = 37 read(11, 0xf09908, 1224) = -1 EAGAIN (Resource temporarily unavailable) epoll_ctl(10, EPOLL_CTL_MOD, 11, {EPOLLIN|EPOLLPRI|EPOLLOUT|EPOLLERR|EPOLLHUP, {u32=15754432, u64=15754432}}) = 0 epoll_ctl(10, EPOLL_CTL_MOD, 11, {EPOLLIN|EPOLLPRI...

... and the mailing list is picky about attachments... whatever you attached did not conform to the stringent requirements mentioned in the Posting Guide. Pasting the code right into the email is usually safest, though you DO have to post using plain text (as the Posting Guide indicates) or your code may get mangled by the automatic html format removal. On May 15, 2018 7:04:31 AM PDT, Bert Gunter

Unless there is good reason not to, always cc the list -- there are lots of smarter folks than I on it who can help. I may or may not have time to look at this. Hopefully someone else will. -- Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip

...322L, 336L, 350L, 364L, 378L, 392L, 406L, 420L, 434L, 448L, 462L, 476L, 490L, 504L, 518L, 532L, 546L, 560L, 574L, 588L, 602L, 616L, 630L, 644L, 658L, 672L, 686L, 700L, 714L, 728L, 12L, 26L, 40L, 54L, 68L, 82L, 96L, 110L, 124L, 138L, 152L, 166L, 180L, 194L, 208L, 222L, 236L, 250L, 264L, 278L, 292L, 306L, 320L, 334L, 348L, 362L, 376L, 390L, 404L, 418L, 432L, 446L, 460L, 474L, 488L, 502L, 516L, 530L, 544L, 558L, 572L, 586L, 600L, 614L, 628L, 642L, 656L, 670L, 684L, 698L, 712L, 726L, 10L, 24L, 38L, 52L, 66L, 80L, 94L, 108L, 121L, 135L, 149L, 163L, 177L, 191L, 205L, 219L, 233L, 247L, 261L, 275L, 289L,...

...378L, > 392L, 406L, 420L, 434L, 448L, 462L, 476L, 490L, 504L, 518L, 532L, > 546L, 560L, 574L, 588L, 602L, 616L, 630L, 644L, 658L, 672L, 686L, > 700L, 714L, 728L, 12L, 26L, 40L, 54L, 68L, 82L, 96L, 110L, 124L, > 138L, 152L, 166L, 180L, 194L, 208L, 222L, 236L, 250L, 264L, 278L, > 292L, 306L, 320L, 334L, 348L, 362L, 376L, 390L, 404L, 418L, 432L, > 446L, 460L, 474L, 488L, 502L, 516L, 530L, 544L, 558L, 572L, 586L, > 600L, 614L, 628L, 642L, 656L, 670L, 684L, 698L, 712L, 726L, 10L, > 24L, 38L, 52L, 66L, 80L, 94L, 108L, 121L, 135L, 149L, 163L, 177L, > 191L, 205L, 219L, 233L, 247...

...L, 420L, 434L, 448L, 462L, 476L, 490L, 504L, 518L, 532L, > > 546L, 560L, 574L, 588L, 602L, 616L, 630L, 644L, 658L, 672L, 686L, > > 700L, 714L, 728L, 12L, 26L, 40L, 54L, 68L, 82L, 96L, 110L, 124L, > > 138L, 152L, 166L, 180L, 194L, 208L, 222L, 236L, 250L, 264L, 278L, > > 292L, 306L, 320L, 334L, 348L, 362L, 376L, 390L, 404L, 418L, 432L, > > 446L, 460L, 474L, 488L, 502L, 516L, 530L, 544L, 558L, 572L, 586L, > > 600L, 614L, 628L, 642L, 656L, 670L, 684L, 698L, 712L, 726L, 10L, > > 24L, 38L, 52L, 66L, 80L, 94L, 108L, 121L, 135L, 149L, 163L, 177L, > > 191L, 2...

Hi again, I'd like to expand on the performance issues and plead for help. Here's one case which shows these odd hiccups: https://i.imgur.com/CXBPjTK.gifv. In this GIF where I switch back and forth between copy operations on 2 servers, I'm copying a 10GB dir full of .apk and image files. On server "hive" I'm copying straight from the main disk to an attached volume

Hi, I'm trying to squeeze performance out of gluster on 4 80GB RAM 20-CPU machines where Gluster runs on attached block storage (Linode) in (4 replicate bricks), and so far everything I tried results in sub-optimal performance. There are many files - mostly images, several million - and many operations take minutes, copying multiple files (even if they're small) suddenly freezes up for

...230L, 231L, 232L, 233L, 234L, 235L, 236L, 237L, 238L, 239L, 240L, 241L, 242L, 243L, 244L, 245L, 246L, 247L, 261L, 262L, 263L, 264L, 265L, 266L, 267L, 268L, 269L, 270L, 271L, 272L, 273L, 274L, 275L, 276L, 277L, 278L, 279L, 280L, 281L, 282L, 283L, 284L, 285L, 286L, 300L, 301L, 302L, 303L, 304L, 305L, 306L, 307L, 308L, 309L, 310L, 311L, 312L, 313L, 314L, 315L, 316L, 317L, 318L, 319L, 320L, 321L, 322L, 323L, 324L, 325L, 339L, 340L, 341L, 342L, 343L, 344L, 345L, 346L, 347L, 348L, 349L, 350L, 351L, 352L, 353L, 354L, 355L, 356L, 357L, 358L, 359L, 360L, 361L, 362L, 363L, 364L, 378L, 379L, 380L, 381L, 382L...