search for: 132l

...pharmacokinetic world, I was hoping someone with some more experience can shed some light on this (altough for me) dark material. Kind Regards Bart PS: Here some example data: dat<- structure(list(Sample = c(1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L), tijd = c(12L, 36L, 60L, 84L, 108L, 132L, 12L, 36L, 60L, 84L, 108L, 132L), conc = c(0.621518061431366, 0.87531564366726, 0.916311538568891, 0.880947260781843, 0.852202744098934, 0.218909173985895, 1.22305496551836, 1.30075841227452, 0.995918019674464, 1.33214099618361, 1.42613784296527, 0.290928921761672)), .Names = c("Sample&quo...

..., 288L, 343L, 379L, 386L, 402L, 441L, 472L, 461L, 453L, 473L, 474L, 496L, 502L, 465L, 240L, 250L, 230L, 116L, 151L, 164L, 146L, 167L, 172L, 143L, 149L, 168L, 224L, 252L, 279L, 293L, 321L, 372L, 360L, 367L, 411L, 418L, 429L, 425L, 368L, 132L, 112L, 96L, 103L, 95L, 80L, 90L, 81L, 68L, 62L, 56L, 500L, 478L, 500L, 83L, 94L, 97L, 118L, 130L, 145L, 157L, 161L, 165L, 179L, 180L, 318L, 318L, 287L, 173L, 233L, 200L, 179L, 181L, 184L, 162L, 163L, 171L, 195L, 220L, 232L, 248L, 281L,...

...181L, 182L, 178L, 180L, 179L, 175L, 177L, 176L, 172L, 174L, 173L, 171L, 169L, 170L, 166L, 168L, 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, 7...

...0, 100, 200, 300, 400, 500, 600)); abline(h = c(100, 200, 300, 400, 500, 600), lty=2); mtext("Usage over a 24 hour period",side=3); dev.off(); Contents of str structure: str <- structure(list(timeofday = 1:23, connections = c(116L, 87L, 51L, 44L, 75L, 147L, 264L, 275L, 233L, 294L, 132L, 140L, 198L, 171L, 248L, 226L, 257L, 246L, 210L, 189L, 180L, 238L, 303L)), .Names = c("timeofday", "connections"), row.names = c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10&quo...

...???????????????????????????????????????????168L, >224L, 252L, 279L, 293L, 321L, 372L, 360L, 367L, 411L,? > >???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????418L, >429L, 425L, 368L, 132L, 112L, 96L, 103L, 95L, 80L,? > >???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????90L, >81L, 68L, 62L, 56L, 500L, 478L, 500L, 83L, 94L, 97L,? > >??????????????????????????????????...

...???????????????????????????????????????????????????????????168L, 224L, 252L, 279L, 293L, 321L, 372L, 360L, 367L, 411L,? ???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????418L, 429L, 425L, 368L, 132L, 112L, 96L, 103L, 95L, 80L,? ???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????90L, 81L, 68L, 62L, 56L, 500L, 478L, 500L, 83L, 94L, 97L,? ??????????????????????????????????????????????????????...

..., 0.025279846, 0.007219305, 0.001003151, 0.000158275, 0.040812627, 0.015218595, 0.0000234, 0.008376655, 0.003841158, 0.007218929, 0.011170246, 0.001264155, 0.002183796, 0.041432825, 0.018248241, 0.025279435, 0.00728945, 0.015218596, 0.000139047 ), ppitots = c(127L, 144L, 123L, 139L, 132L, 104L, 124L, 101L, 139L, 143L, 125L, 118L, 143L, 136L, 101L, 155L, 121L, 163L, 144L, 137L, 161L, 132L, 129L, 172L, 130L, 149L, 130L, 127L, 131L, 100L, 134L, 140L, 130L, 156L, 129L, 105L, 104L, 144L, 131L, 155L, 141L, 148L, 122L), ppi_1_corrected = c(0.790903075, -0.699393955, -2...

..., 502L, 527L, 554L, 580L, 600L, 16L, 37L, 74L, 95L, 123L, 135L, 176L, 192L, 215L, 236L, 277L, 288L, 331L, 339L, 384L, 391L, 625L, 653L, 684L, 705L, 737L, 755L, 783L, 807L, 834L, 859L, 885L, 915L, 944L, 967L, 993L, 1020L, 417L, 443L, 469L, 501L, 532L, 550L, 577L, 603L, 17L, 36L, 57L, 79L, 107L, 132L, 158L, 183L, 210L, 237L, 269L, 299L, 315L, 348L, 372L, 397L, 626L, 657L, 689L, 714L, 731L, 758L, 787L, 811L, 833L, 860L, 888L, 911L, 940L, 964L, 991L, 1016L, 421L, 451L, 480L, 495L, 529L, 553L, 582L, 602L, 18L, 31L, 58L, 80L, 120L, 141L, 169L, 189L), class = "data.frame")

... 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

...L, 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, 307L, 465L, 383L, 265L, 103L, 348L, 166L...

NAME ID a b c d 1 Control_1 probe~B01R01C01 381 213 345 653 2 Control_2 probe~B01R01C02 574 629 563 783 3 Control_1 probe~B01R09C01 673 511 521 967 4 Control_3 probe~B01R09C02 53 809 999 50 5 MM0289~RFU:11810.15 probe~B29R13C06 681 34 115 587 6 MM0289~RFU:9238.41 probe~B29R13C05 784 443 20 784 7 MM16597~RFU:36765.38 probe~B44R15C20 719 251 790 445 8 MM16597~RFU:41258.94 probe~B44R15C19 677

...L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L), .Label = c("Negative", "Neutral", "Positive"), class = "factor"), value = c(153L, 157L, 151L, 152L, 129L, 129L, 89L, 134L, 129L, 126L, 125L, 106L, 108L, 120L, 148L, 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...

Man, R has a steep learning curve (but I suppose you all know this). I have very little programming knowledge, so when I search for answers to my questions, I struggle with making sense of a lot of the pages. I have a spreadsheet that I've read into R using read.csv. I've also attached it. It looks like this (except there are 1600+ entries): > Sunday SunDate SunTime

..., 149L, 163L, 177L, 191L, 205L, 219L, 233L, 247L, 261L, 275L, 289L, 303L, 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,...

...191L, 205L, 219L, 233L, 247L, 261L, 275L, 289L, 303L, 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, 73...

...3L, 247L, 261L, 275L, 289L, 303L, 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, 17...

...1L, 12L, 13L, 14L, 15L, 16L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 63L, 64L, 65L, 66L, 67L, 68L, 69L, 70L, 71L, 72L, 73L, 74L, 75L, 76L, 77L, 95L, 96L, 97L, 98L, 99L, 100L, 101L, 102L, 103L, 104L, 105L, 106L, 107L, 108L, 109L, 110L, 127L, 128L, 129L, 130L, 131L, 132L, 133L, 134L, 135L, 136L, 137L, 138L, 139L, 140L, 141L, 159L, 160L, 161L, 162L, 163L, 164L, 165L, 166L, 167L, 168L, 169L, 170L, 171L, 172L, 173L, 174L ), class = c("nfnGroupedData", "nfGroupedData", "groupedData", "data.frame"), formula = Prop ~ end | temp, FU...

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