search for: 200l

..."SUI"), class = "factor"), V4 = c(2L, 1L, 4L, 1L, 4L, 2L, 0L, 2L, 4L, 1L, 2L, 3L, 2L, 1L, 3L, 0L, 4L, 1L, 4L, 1L ), V5 = c(1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L), V6 = c(878L, 145L, 112L, 104L, 112L, 96L, 112L, 168L, 192L, 112L, 192L, 200L, 200L, 199L, 32L, 201L, 176L, 200L, 224L, 120L)), .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, ?...

...ifferently with temperature for different individuals: model<-lmer(int.length~mean.sst+(mean.sst|female)) However, I get the following warning message: Warning message: Estimated variance-covariance for factor 'female' is singular in: `LMEoptimize<-`(`*tmp*`, value = list(maxIter = 200L, tolerance = 1.49011611938477e-08, summary(model) Linear mixed-effects model fit by REML Formula: int.length ~ mean.sst + (mean.sst | female) AIC BIC logLik MLdeviance REMLdeviance 155.4 164.5 -72.7 142.8 145.4 Random effects: Groups Name Variance Std.Dev. Corr fe...

...eem to get the data to match the axis anymore. I must be using the axis.break() in plotrix incorrectly, but I cannot see where my issue is. This is what I have so far. ###### library(plotrix) par(mar=c(6,8,4,4)) ###Data Saline <- structure(list(Time = c(-20L, 0, 30L, 45L, 60L, 80L, 110L,140L,200L, 260L, 320L), Average = c(119.250,118.750,117.500,132.75,151.875,159.75,142.75,160,168,167.125,143),SEM=c(2.211,2.569,2.665,5.435146394,6.208741369,8.363550657,8.51349469,14.30284687,15.93865792,16.76541326,13.796)), .Names = c("Time (min)", "Arterial Plasma Glucose (?g/mL)", &...

...ts("/etc/timezone")) return(as.POSIXlt(Sys.time())$zone) else if (dir.exists("/usr/share/zoneinfo") && { info <- file.info(normalizePath("/etc/timezone"), extra_cols = FALSE) (!info$isdir && info$size <= 200L) } && { tz1 <- tryCatch(readBin("/etc/timezone", "raw", 200L), error = function(e) raw(0L)) length(tz1) > 0L && all(tz1 %in% as.raw(c(9:10, 13L, 32:126))) } && { tz2 &l...

...quot;)) > > return(as.POSIXlt(Sys.time())$zone) > > else if (dir.exists("/usr/share/zoneinfo") && { > > info <- file.info(normalizePath("/etc/timezone"), extra_cols = FALSE) > > (!info$isdir && info$size <= 200L) > > } && { > > tz1 <- tryCatch(readBin("/etc/timezone", "raw", 200L), > > error = function(e) raw(0L)) > > length(tz1) > 0L && all(tz1 %in% as.raw(c(9:10, 13L, 32:126))) > > } &&...

...return(as.POSIXlt(Sys.time())$zone) >>> > else if (dir.exists("/usr/share/zoneinfo") && { >>> > info <- file.info(normalizePath("/etc/timezone"), extra_cols = FALSE) >>> > (!info$isdir && info$size <= 200L) >>> > } && { >>> > tz1 <- tryCatch(readBin("/etc/timezone", "raw", 200L), >>> > error = function(e) raw(0L)) >>> > length(tz1) > 0L && all(tz1 %in% as.raw(c(9:10, 13L, 32:126)))...

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:

..."/etc/timezone")) > return(as.POSIXlt(Sys.time())$zone) > else if (dir.exists("/usr/share/zoneinfo") && { > info <- file.info(normalizePath("/etc/timezone"), extra_cols = FALSE) > (!info$isdir && info$size <= 200L) > } && { > tz1 <- tryCatch(readBin("/etc/timezone", "raw", 200L), > error = function(e) raw(0L)) > length(tz1) > 0L && all(tz1 %in% as.raw(c(9:10, 13L, 32:126))) > } && { > tz2 <- gs...

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

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

...96L, 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, 492L, 249L, 27L, 134L, 479L, 171L, 177L, 9L, 355L,? 398L, 380L, 404L, 304L, 129L, 338L, 281L, 65L, 386L, 144L, 252L,? 77L, 352L, 20L, 96L, 403L, 296L, 268L, 489L, 63L, 424L, 496L,? 126L, 334L, 183L, 232L, 406L, 407L,...

...> return(as.POSIXlt(Sys.time())$zone) >> > else if (dir.exists("/usr/share/zoneinfo") && { >> > info <- file.info(normalizePath("/etc/timezone"), extra_cols = FALSE) >> > (!info$isdir && info$size <= 200L) >> > } && { >> > tz1 <- tryCatch(readBin("/etc/timezone", "raw", 200L), >> > error = function(e) raw(0L)) >> > length(tz1) > 0L && all(tz1 %in% as.raw(c(9:10, 13L, 32:126))) >> &gt...

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   

...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, 195L, 157L, 119L, 148L, 163L, 146L, 167L, 137L, 109L, 142L, 156L, 181L, 302L, 373L, 450L, 457L, 497L, 467L, 486L,...

...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 Lianoglou Graduate Student: Comput...

...247L, 249L, 248L, 244L, 245L, 246L, 243L, 241L, 242L, 240L, 238L, 239L, 235L, 236L, 237L, 234L, 232L, 233L, 231L, 229L, 230L, 226L, 228L, 227L, 223L, 225L, 224L, 220L, 221L, 222L, 217L, 219L, 218L, 214L, 216L, 215L, 211L, 212L, 213L, 210L, 208L, 209L, 207L, 205L, 206L, 202L, 204L, 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...

...nat.1994[sample(row.names(ban.nat.1994), 20),]) bn94 <- structure(list(oplt = c(18L, 50L, 11L, 16L, 54L, 35L, 45L, 40L, 15L, 50L, 38L, 45L, 53L, 15L, 1L, 54L, 33L, 13L, 30L, 21L), tree = c(144L, 824L, 47L, 525L, 291L, 702L, 717L, 615L, 821L, 551L, 750L, 639L, 664L, 813L, 31L, 346L, 689L, 59L, 200L, 658L), bd1 = c(NA, NA, 3.6, 3.1, 4.72, 2.03, 2.88, 1.65, 5.39, 3.04, 2.75, 3.06, 2.81, 2.78, NA, 6.5, 4.62, 4.76, NA, 2.69), bd2 = c(NA, NA, 3.41, 3.06, 4.86, 2.09, 2.78, 1.8, 5.08, 3.26, 2.71, 3.1, 2.87, 2.73, NA, 6.6, 4.53, 4.97, NA, 2.81), bd = c(NA, 4.25, 3.51, 3.08, 4.79, 2.06, 2.83, 1.7...

...7, 30.39, 23.85, 24.05, 43.32, 43.03, 35.76, 30.58, 58.08, 31.56, 24.87, 39.55, 22.75, 23.26, 20.71, 19.69, 30.16, 35.88, 22.14, 38.42, 32.99, 18.28, 37.52, 39.7)), .Names = c("DOB", "srvCompDT", "retirePlan", "ageFedStart"), row.names = c(NA, 200L), class = "data.frame") rrDT <- function(retSys, ageFedStart, birthDT, serviceCompDT){ if(retSys == "CSRS") { if(ageFedStart < 25) rtDT <- dates(birthDT+(365.25*55)) else if (ageFedStart >= 25 & ageFedStart < 30) rtDT <- dates(serviceCo...

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

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