search for: 500l

...H LUMBER", "ROBUSTA COFFEE (10)", "SILVER ", "SOYBEAN MEAL ", "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 mer...

...ot;CE", "CE"), V6 = c(0L, 0L, 0L, 0L, 0L, 0L), V7 = c(700, 700, 700, 700, 700, 700), V8 = c("14:15:45", "14:15:51", "13:51:12", "13:45:13", "14:39:53", "14:40:08" ), V9 = c(37, 37, 37.75, 37, 37.5, 37.5), V10 = c(500L, 500L, 500L, 500L, 2000L, 500L), V11 = structure(c(14977, 14977, 14977, 14977, 14977, 14977), class = "Date"), V12 = c(52, 52, 52, 52, 52, 52)), .Names = c("V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8&...

...chr10 50063 50063 CHH 0 0.0 + > dput(data) structure(list(V1 = structure(c(1L, 1L, 3L, 3L, 4L, 5L, 6L, 6L, 7L, 2L), .Label = c("chr1", "chr10", "chr2", "chr3", "chr4", "chr5", "chr7"), class = "factor"), V2 = c(500L, 550L, 700L, 1000L, 100L, 450L, 450L, 50034L, 50055L, 50063L), V3 = c(500L, 550L, 700L, 1000L, 100L, 450L, 450L, 50034L, 50055L, 50063L), V4 = structure(c(3L, 3L, 3L, 3L, 3L, 1L, 3L, 2L, 2L, 3L), .Label = c("CG", "CHG", "CHH"), class = "factor"),...

The documentation of as.data.frame is not explicit about how it generates column names for the simple vector case, but it seems to use the character form of the quoted argument, e.g. names(as.data.frame(1:3)) [1] "1:3" But there is a strange case: names(as.data.frame(c("a"))) [1] "if (stringsAsFactors) factor(x) else x" I feel fairly comfortable calling this a

...E_DEVICE. --- R-2.7.0/src/library/grDevices/R/zzz.R 2008-04-27 13:49:11.000000000 +0200 +++ R-2.7.0/src/library/grDevices/R/zzz.R.new 2008-04-27 13:59:37.000000000 +0200 @@ -22,7 +22,7 @@ extras <- if(.Platform$OS.type == "windows") list(windowsTimeouts = c(100L,500L)) else list(bitmapType = if(capabilities("aqua")) "quartz" else if(capabilities("cairo")) "cairo" else "Xlib") - defdev <- Sys.getenv("R_DEFAULT_DEVICE") + defdev <- as.character(Sys.getenv("R_DEFAULT_DEVICE"))...

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:

...uot;.....................", bar = ".....................")) writeLines(format(p, style = "R")) This can be fixed in line 1017 of utils/R/citation.R either by increasing the width.cutoff, e.g., sprintf("%s = %s", names(e), sapply(e, deparse, width.cutoff = 500L)) but, of course, this still has an arbitrary cutoff. So maybe better sprintf("%s = %s", names(e), sapply(e, function(x) paste(deparse(x), collapse = ""))) which should work. I'll ping Kurt about this and try to coordinate a fix. Best wishes, Achim On Fri, 2 J...

...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, 283L,? 119L, 463L, 147L, 379L, 216L, 474L, 204L, 48L, 260L, 12L, 337L,? 187L, 271L, 31L, 289L, 172L, 35L, 408L, 164L, 91L, 351L, 443L,? 436L, 469L, 186L, 472L, 297L, 50L, 4...

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   

...3L, 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, 316L, 314L, 314L, 342L, 339L, 239L, 266L, 246L, 194L, 195...

...1, 1, 1, 1, 3, 3, 1, 1, 1, 1, 1, 1, 2, 10, 1, 6, 2, 1, 1, 1, 1, 1, 1, 1, 10, 10, 6, 11, 1, 1, 1, 1, 11, 1, 1, 1, 1, 2, 1, 1, 1, 7, 6, 1, 1, 1, 9, 1, 7, 11, 4, 1, 1, 1, 1, 8, 1, 1, 6, 1, 2, 1, 3, 1, 11, 1, 5, 1, 6, 1, 1, 11, 6, 1, 1, 1, 2, 1, 1, 2, 6, 7, 7, 1, 8, 3, 1, 1, 1, 7, 1, 1), .Dim = c(500L, 2L)) #Now perform the kruskalmc() test. require(pgirmess) kruskalmc(x[,1], x[,2]) #Multiple comparison test after Kruskal-Wallis #p.value: 0.05 #Comparisons # obs.dif critical.dif difference #1-2 8.4929415 82.16065 FALSE #1-3 2.6363784 104.15270 FALSE #1-4 22....

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

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

Dear all, I think I found a bug in utils::format.person when using style = "R" with a vector of comments. The comment section is not parsed properly. Please find below the mwe and the session info. Best regards, Thierry maintainer <- person( given = "Thierry", family = "Onkelinx", role = c("aut", "cre"), email = "thierry.onkelinx at

... 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

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

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

..., 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, 147L, 161L, 175L, 189L, 203L, 217L, 231L, 245L, 259L, 273L, 287L, 301L, 315L, 329L, 343L, 357L, 371L, 385L, 399L, 413L, 427L, 441L, 455L, 469L, 483L,...

...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, 147L, 161L, 175L, 189L, 203L, > 217L, 231L, 245L, 259L, 273L, 287L, 301L, 315L, 329L, 343L, 357L, > 371L, 385L, 399L, 413L, 427L, 441L...

...9L, 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, 147L, 161L, 175L, 189L, 203L, > > 217L, 231L, 245L, 259L, 273L, 287L, 301L, 315L, 329L, 343L, 357L, > > 371L, 385L, 39...