search for: 151l

...date_1st_event = structure(c(14784, 14784, 14784, 14784, 14784, 14784, 14784, 14784, 14784, 14784 ), class = "Date"), bp_date = structure(c(12660, 14571, 13392, 13080, 12012, 13080, 13894, 14622, 12654, 13894), class = "Date"), SBP = c(135L, 160L, 135L, 153L, 150L, 153L, 151L, 126L, 150L, 151L), DBP = c(85L, 80L, NA, 79L, 82L, 79L, 76L, 60L, 82L, 91L)), .Names = c("prochi", "date_1st_event", "bp_date", "SBP", "DBP"), row.names = 108:117, class = "data.frame") It consists of repeated measures for the...

...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", "Score" ), row.names = c(NA, 100L), class = "data.frame") I am trying to write code that will check to see if the score is above a certain point, and then if it is, calculate how long it stays above that point....

...489L, 63L, 424L, 496L,? 126L, 334L, 183L, 232L, 406L, 407L, 163L, 346L, 287L, 475L, 127L,? 321L, 124L, 237L, 308L, 376L, 212L, 423L, 211L, 329L, 437L, 179L,? 253L, 372L, 101L, 251L, 90L, 433L, 311L, 241L, 327L, 422L, 349L,? 493L, 442L, 38L, 449L, 410L, 370L, 421L, 325L, 451L, 240L, 71L,? 392L, 2L, 151L, 332L, 83L, 350L, 87L, 361L, 330L, 279L, 362L,? 310L, 487L, 278L, 367L, 248L, 462L, 59L, 213L, 68L, 112L, 60L,? 481L, 165L, 235L, 22L, 434L, 272L, 460L, 309L, 301L, 500L, 282L,? 82L, 100L, 261L, 34L, 188L, 133L, 344L, 7L, 486L, 67L, 399L,? 254L, 41L, 483L, 64L, 405L, 108L, 236L, 384L, 467L, 49L, 28...

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

...0L, 0L, 0L, 0L, 0L, 0L, 0L, 49L, 3L, 113L, 1L, 44L, 167L, 336L, 933L, 0L, 14L, 388L, 1180L, 1709L), V4 = c(0L, 0L, 0L, 0L, 0L, 0L, 3L, 12L, 0L, 0L, 2L, 1L, 36L, 45L, 208L, 7L, 221L, 213L, 371L, 1440L, 26L, 211L, 389L, 1382L, 1614L), V5 = c(96L, 7L, 0L, 0L, 0L, 10L, 17L, 0L, 5L, 0L, 0L, 11L, 151L, 127L, 160L, 27L, 388L, 439L, 1117L, 1571L, 81L, 598L, 1107L, 1402L, 891L), V6 = c(16L, 30L, 13L, 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, 3...

...203L, 201L, 199L, 200L, 196L, 197L, 198L, 195L, 193L, 194L, 190L, 192L, 191L, 189L, 187L, 188L, 184L, 185L, 186L, 183L, 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...

....nat.1996[sample(row.names(ban.nat.1996), 20),]) bn96 <- structure(list(oplt = c(23L, 33L, 22L, 19L, 27L, 3L, 27L, 19L, 48L, 31L, 54L, 37L, 42L, 45L, 51L, 51L, 27L, 44L, 22L, 33L), tree = c(616L, 709L, 426L, 233L, 441L, 213L, 411L, 231L, 714L, 206L, 355L, 638L, 266L, 201L, 345L, 298L, 151L, 374L, 571L, 708L), bd1 = c(4.68, 1.92, 4.89, 4.88, 2.02, 4.2, 2, 2.85, 3.38, 2.48, 3.42, NA, 2.1, 2.05, 1.98, 2.26, NA, 5.16, 2.9, 2.32), bd2 = c(4.7, 1.98, 4.94, 5.14, NA, 3.96, NA, 2.9, 3.2, 2.42, 3.36, NA, 2, 2.02, NA, NA, NA, 5.2, 2.8, 2.24), bd = c(4.69, 1.95, 4.92, 5...

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

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

..., 122L, 124L, 197L, 125L, 196L, 272L, 273L, 274L, 335L, 199L, 264L, 286L, 285L, 183L, 265L, 284L, 263L, 282L, 277L, 254L, 257L, 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,...

..., 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 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,...

...?????????????????????????????????????????????????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,? > >??????????????????????...

...167L, 181L, 195L, 209L, 223L, 237L, 251L, 265L, 279L, 293L, 307L, 321L, 335L, 349L, 363L, 377L, 391L, 405L, 419L, 433L, 447L, 461L, 475L, 489L, 503L, 517L, 531L, 545L, 559L, 573L, 587L, 601L, 615L, 629L, 643L, 657L, 671L, 685L, 699L, 713L, 727L, 11L, 25L, 39L, 53L, 67L, 81L, 95L, 109L, 123L, 137L, 151L, 165L, 179L, 193L, 207L, 221L, 235L, 249L, 263L, 277L, 291L, 305L, 319L, 333L, 347L, 361L, 375L, 389L, 403L, 417L, 431L, 445L, 459L, 473L, 487L, 501L, 515L, 529L, 543L, 557L, 571L, 585L, 599L, 613L, 627L, 641L, 655L, 669L, 683L, 697L, 711L, 725L, 9L, 23L, 37L, 51L, 65L, 79L, 93L, 107L, 122L, 136L,...

...L, 3L, 2L, 3L, 4L, ? ? ? ? 0L, 3L, 4L, 3L, 2L, 1L, 3L, 0L), V5 = c(1L, 1L, 1L, 1L, ? ? ? ? 0L, 1L, 1L, 2L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, ? ? ? ? 0L, 0L), V6 = c(991L, 312L, 271L, 409L, 176L, 280L, 360L, ? ? ? ? 735L, 248L, 208L, 152L, 167L, 295L, 159L, 393L, 199L, ? ? ? ? 135L, 257L, 151L, 112L)), .Names = c("V1", "V2", "V3", ? ? "V4", "V5", "V6"), row.names = c(NA, 20L), class = "data.frame"), ? ? structure(list(V1 = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, ? ? 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), V2 = 0:...

...?????????????????????????????????????????????????????????????????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,? ??????????????????????????????????????????...

...> 223L, 237L, 251L, 265L, 279L, 293L, 307L, 321L, 335L, 349L, 363L, > 377L, 391L, 405L, 419L, 433L, 447L, 461L, 475L, 489L, 503L, 517L, > 531L, 545L, 559L, 573L, 587L, 601L, 615L, 629L, 643L, 657L, 671L, > 685L, 699L, 713L, 727L, 11L, 25L, 39L, 53L, 67L, 81L, 95L, 109L, > 123L, 137L, 151L, 165L, 179L, 193L, 207L, 221L, 235L, 249L, 263L, > 277L, 291L, 305L, 319L, 333L, 347L, 361L, 375L, 389L, 403L, 417L, > 431L, 445L, 459L, 473L, 487L, 501L, 515L, 529L, 543L, 557L, 571L, > 585L, 599L, 613L, 627L, 641L, 655L, 669L, 683L, 697L, 711L, 725L, > 9L, 23L, 37L, 51L, 65L, 79L, 93L...

...L, 265L, 279L, 293L, 307L, 321L, 335L, 349L, 363L, > > 377L, 391L, 405L, 419L, 433L, 447L, 461L, 475L, 489L, 503L, 517L, > > 531L, 545L, 559L, 573L, 587L, 601L, 615L, 629L, 643L, 657L, 671L, > > 685L, 699L, 713L, 727L, 11L, 25L, 39L, 53L, 67L, 81L, 95L, 109L, > > 123L, 137L, 151L, 165L, 179L, 193L, 207L, 221L, 235L, 249L, 263L, > > 277L, 291L, 305L, 319L, 333L, 347L, 361L, 375L, 389L, 403L, 417L, > > 431L, 445L, 459L, 473L, 487L, 501L, 515L, 529L, 543L, 557L, 571L, > > 585L, 599L, 613L, 627L, 641L, 655L, 669L, 683L, 697L, 711L, 725L, > > 9L, 23L, 37L...

... 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

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