search for: 150l

...ame as in the legend, and not arranged alphabetically (the factor is ordered, don't touch my order). Hadley once mentioned an undocumented aestetics "order", but I could not get it to work in the example. Dieter library(ggplot2) cf1 = structure(list(dur = c(10L, 10L, 10L, 10L, 10L, 150L, 150L, 150L, 150L, 150L), score = structure(c(3L, 1L, 4L, 5L, 2L, 3L, 1L, 4L, 5L, 2L), .Label = c("none", "weak", "moderate", "severe", "verysevere"), class = c("ordered", "factor")), p = c(0.04, 0.02, 0.26, 0.6, 0.07, 0.07, 0.05...

...nd_1"), 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 meas...

...quot;SOYBEAN OIL", "SOYBEANS ", "SPCL HIGH GRADE ZINC USD", "STANDARD LEAD USD", "SUGAR WHITE", "WHEAT"), class = "factor"), VALUE = c(500L, 10000L, 420L, 420L, 100L, 5000L, 100L, 50L, 250L, 25L, 25L, 6L, 25L, 10L, 375L, 10L, 500L, 150L, 1120L, 50L, 50L, 50L, 100L, 600L, 50L, 500L, 400L, 400L, 110L)), .Names = c("SHORTDESCRIPTION", "VALUE"), class = "data.frame", row.names = c(NA, -29L)) I want to merge these df: > y=merge(value,allcon,by.x="SHORTDESCRIPTION",all=T) Here is the resul...

...ale_color_manual statement in one ggplot. Jun Shen ####sample data######### df1 <- structure(list(Y2 = c(0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L), X = c(27L, 8L, 33L, 53L, 100L, 52L, 9L, 60L, 50L, 10L, 3L, 30L, 50L, 15L, 90L, 48L, 110L, 75L, 72L, 150L, 47L, 30L), GRP = structure(c(3L, 1L, 3L, 4L, 4L, 4L, 1L, 3L, 3L, 1L, 2L, 2L, 2L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 2L, 4L), .Label = c("1", "2", "3", "4"), class = "factor")), .Names = c("Y2", "X", "GRP"), row.names = c(NA,...

...162L, 185L, 180L, 459L, 35854L, 3270L, 162L, 259L, 120L, 9130L, 2120L, 111L, 222L, 595L, 888L, 222L, 189L, 210L, 1740L, 630L, 520L, 120L, 9673L, 160L, 648L, 280L, 378L, 240L, 40L, 444L, 407L, 210L, 185L, 180L, 148L, 110L, 486L, 148L, 756L, 100L, 2750L, 40L, 720L, 1440L, 185L, 259L, 240L, 259L, 150L, 37L, 481L, 222L, 90L, 111L, 5598L, 222L, 222L, 222L, 222L, 322L, 112L, 222L, 690L, 180L, 222L, 12L, 18L, 22L, 12L, 22L, 6L, 30L, 62L, 20L, 30L, 12L, 185L, 10L, 185L, 10L), bandNum = list(0L, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3...

...quot;), row.names = c(NA, 12L), 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") dataou...

...0L, 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", "Score" ), row.names = c(NA, 100L), class = "data.frame") I am trying to write code that will chec...

...n > > > > ## 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 =...

...43L,? 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, 207L, 150L, 209L, 184L, 378L, 217L,? 176L, 52L, 374L, 189L, 97L, 340L, 357L, 157L, 220L, 74L, 356L,? 495L, 453L, 26L, 499L, 364L, 267L, 331L, 245L, 258L, 242L, 381L,? 36L, 16L, 328L, 131L, 255L, 363L, 298L, 373L, 416L, 200L, 56L,? 263L, 288L, 13L, 305L, 291L, 17L, 53L, 130L, 458L, 385L, 198L,? 158L, 140L, 492...

...5, 5, 2, 5, 13, 2, 4, 12, 2, 4, 1, 4, 0, 1, 0, 1, 0, 4, 5, 4, 5, 2, 2, 13, 3, 4, 13, 1, 12, 3, 1, 0, 2, 5, 3, 14, 4, 2, 2, 0, 0, 4, 0, 2, 12, 13, 3, 2, 1, 4, 2, 3, 1, 1, 3, 3, 0, 0, 3, 5, 3, 13, 3, 13, 3, 13, 3, 1, 1, 4, 2, 1, 4, 12, 5)), .Names = c("y", "x"), row.names = c(NA, -150L), class = "data.frame") pdf("crashedadobe.pdf") p2 = xyplot(y~x,data=d, pch=16, # required, no problem with pch=1,2,8 panel = function(...) { panel.xyplot(...) # both lines are required panel.smoother(...) # }, ) print(p2) dev.off() #R version 2.10.1...

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

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:

..., 143, 47, 34, 121, 79, 9, 121, 85, 130, 96, 72, 40, 9, 160, 47, 6, 166, 166, 130, 88, 39)), .Names = c("id", "ftime", "rcat", "tdiff"), row.names = c(11L, 4L, 13L, 25L, 39L, 41L, 35L, 44L, 54L, 57L, 96L, 98L, 88L, 107L, 80L, 77L, 118L, 136L, 124L, 146L, 150L, 157L, 153L, 169L, 196L, 210L, 214L, 225L, 230L, 221L, 222L, 258L, 266L, 281L, 311L, 324L, 333L, 334L, 358L, 372L, 400L, 419L, 423L, 434L, 439L, 437L, 443L, 479L, 465L, 496L, 517L, 516L, 519L, 525L, 539L, 598L, 606L, 634L, 658L, 649L, 637L, 655L, 640L, 644L, 645L, 636L, 647L, 646L, 639L, 654L,...

Hello, I wrote this code which works fine on a single observation: x<-100 y<-200 z<-125 aa<-150 if(x<z && y>z) {aa-z} result: 25 I am trying to apply this logic where x,y,z,and aa are arrays but with very little success. I have tried using loops and whiles but I always get errors of various types. I have consulted a few manuals but with limited success. My hopeful

...7653, > ? 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. > > -- Steve L...

...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, 100L, 101L, 99L,...

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

..., 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, 150L, 164L, 178L, 192L, 206L, 220L, 234L, 248L, 262L, 276L, 290L, 304L, 318L, 332L, 346L, 360L, 374L, 388L, 402L, 416L, 430L, 444L, 458L, 472L, 486L, 500L, 514L, 528L, 542L, 556L, 570L, 584L, 598L, 612L, 626L, 640L, 654L, 668L, 682L, 696L, 710L, 724L, 7L, 21L, 35L, 49L, 63L, 77L, 91L, 105L, 119L, 133L,...

...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, 150L, 164L, > 178L, 192L, 206L, 220L, 234L, 248L, 262L, 276L, 290L, 304L, 318L, > 332L, 346L, 360L, 374L, 388L, 402L, 416L, 430L, 444L, 458L, 472L, > 486L, 500L, 514L, 528L, 542L, 556L, 570L, 584L, 598L, 612L, 626L, > 640L, 654L, 668L, 682L, 696L, 710L, 724L, 7L, 21L, 35L, 49L, > 63L, 77L...

...9L, 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, 150L, 164L, > > 178L, 192L, 206L, 220L, 234L, 248L, 262L, 276L, 290L, 304L, 318L, > > 332L, 346L, 360L, 374L, 388L, 402L, 416L, 430L, 444L, 458L, 472L, > > 486L, 500L, 514L, 528L, 542L, 556L, 570L, 584L, 598L, 612L, 626L, > > 640L, 654L, 668L, 682L, 696L, 710L, 724L, 7L, 21L, 35L...