search for: 201l

...2L, 2L, 2L)), row.names = c("1", "2", "3", "4", "5", "6", "7"), class = "data.frame"), `2` = structure(list( ped = c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), id = 201:214, father = c(0L, 0L, 0L, 201L, 201L, 201L, 201L, 201L, 0L, 203L, 203L, 209L, 209L, 209L), mother = c(0L, 0L, 0L, 202L, 202L, 202L, 202L, 202L, 0L, 204L, 204L, 208L, 208L, 208L), sex = c(1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L), affected = c(1L, NA, 1L, 0L, NA, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1...

Hello everybody I am new on R I have some problem when i try to obtain frequency table which script do I need to write in R in order to obtain the frecuency of a value per repetition You could see my example Var. rep x I need to obtain these 201 1 1 201 the x=1 (repeat once), x=3 (repeat 3 times) 201 2

...1L, 61L, 119L, 148L, 185L, 202L, 215L )), .Names = c("TSS", "GPP", "RiverMile"), class = "data.frame", row.names = c(12L, 13L, 14L, 19L, 25L, 26L, 28L, 34L, 35L, 36L, 37L, 42L, 44L, 58L, 75L, 85L, 88L, 91L, 97L, 107L, 142L, 144L, 155L, 166L, 169L, 185L, 186L, 201L, 202L, 207L, 219L, 221L, 222L, 224L, 226L, 230L, 231L, 250L, 251L, 258L, 283L, 287L, 288L, 303L, 304L, 306L, 311L, 313L))) library(lattice) library(ggplot2) z <- nls(GPP~(a/(TSS+b)), start=c(a=0.01, b=0.01), data=r) f <- seq(-1, 29, length=100) y <- coef(z)["a"]/(f+coef(z)[&quot...

...L, 4308999L, 4314066L, 4320267L, 4323312L, 4429542L, 4430725L, 4430920L, 4437775L, 4448036L, 4452215L, 4452865L, 4453105L, 4453270L, 4454459L, 4455322L, 4455884L, 4457234L, 4457422L, 4457901L, 4458671L, 4458671L, 4459229L, 4459543L, 4459690L, NA, NA, NA, NA, NA, NA, NA), BY2008 = c(0L, 0L, 77L, 201L, 360L, 2736L, 12216L, 29530L, 129104L, 452783L, 650994L, 744624L, 873807L, 985627L, 1056887L, 1092128L, 1106148L, 1126926L, 1148620L, 1163636L, 1177036L, 1186223L, 1189830L, 1192634L, 1195051L, 1200342L, 1216558L, 1217456L, 1218014L, 1218723L, 1219695L, 1219756L, 1220128L, 1223214L, 1233322L, 1...

...L, 224L, 3L, 221L, 11L,? 391L, 33L, 243L, 247L, 152L, 98L, 482L, 111L, 257L, 155L, 47L,? 10L, 468L, 270L, 313L, 86L, 293L, 160L, 168L, 409L, 170L, 84L,? 180L, 76L, 99L, 214L, 15L, 414L, 394L, 450L, 4L, 61L, 339L, 342L,? 1L, 470L, 210L, 37L, 345L, 115L, 141L, 302L, 178L, 445L, 6L,? 466L, 285L, 174L, 201L, 114L, 369L, 390L, 69L, 420L, 464L, 269L,? 455L, 382L, 25L, 123L, 95L, 230L, 72L, 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, 175...

...252L, 251L, 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...

...1L, 61L, 119L, 148L, 185L, 202L, 215L )), .Names = c("TSS", "GPP", "RiverMile"), class = "data.frame", row.names = c(12L, 13L, 14L, 19L, 25L, 26L, 28L, 34L, 35L, 36L, 37L, 42L, 44L, 58L, 75L, 85L, 88L, 91L, 97L, 107L, 142L, 144L, 155L, 166L, 169L, 185L, 186L, 201L, 202L, 207L, 219L, 221L, 222L, 224L, 226L, 230L, 231L, 250L, 251L, 258L, 283L, 287L, 288L, 303L, 304L, 306L, 311L, 313L))) library(lattice) z <- nls(GPP~(a/(TSS+b)), start=c(a=0.01, b=0.01), data=r) f <- seq(-1, 29, length=100) y <- coef(z)["a"]/(f+coef(z)["b"]) xyplot...

...quot;) # dput(ban.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...

...= "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, ? ? 0L, 0L, 0L, 0L, 0L,...

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

Hola!! Estoy intentando ejecutar un script com horas, al principio ejecute estos comandos DBx$Date<-strptime(DBx$Date, "%d-%m-%Y") ###Monicap use ; other use Y DBx$Year<-as.POSIXlt(DBx$Date)$year+1900 if(filename!="monicap_50.csv") {DBx$Time<-paste(DBx$Time, ":00", sep="")} Pero me daba el error de que mi base de datos tenia las

...de donde salen. >> >> Aqui esta una parte de lo que me há salido cuando he puesto el >> dput(head(DBx)) (he copiado solo lo que pensaba que podria interessar para >> explicar lo que quiero) >> >> >> Time = structure(c(1219L, >> 1279L, 1400L, 141L, 201L, 261L), .Label = c("0:00:00 ", "0:01:00 ", >> "0:02:00 ", "0:03:00 ", "0:04:00 ", "0:05:00 ", "0:06:00 ", >> "0:07:00 ", "0:08:00 ", "0:09:00 ", "0:10:00 ", "0:11:0...

I would appreciate pointers on what I should read to understand this output: summary(lm(TDS ~ Cond + Ca + Cl + Mg + Na + SO4)) Call: lm(formula = TDS ~ Cond + Ca + Cl + Mg + Na + SO4) Residuals: ALL 1 residuals are 0: no residual degrees of freedom! Coefficients: (6 not defined because of singularities) Estimate Std. Error t value Pr(>|t|) (Intercept) 125 NA

Hi All, this is my first mail here. I'm trying to plot a multiline chart grouping values with no success. I have read a lot in the official Wiki and also searched via Google, but I did not find anything. I'm importing some data from a cvs file. Here is a sample: YEAR,AREA,CASES 1988,CONTRACTS,286 1988,INTERNATIONAL,189 1988,FAMILY,385 1988,TAXATION,177 1989,CONTRACTS,233

..., 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, 131L, 145L, 159L, 173L, 187L, 201L, 215L, 229L, 243L, 257L, 271L, 285L, 299L, 313L, 327L, 341L, 355L, 369L, 383L, 397L, 411L, 425L, 439L, 453L, 467L, 481L, 495L, 509L, 523L, 537L, 551L, 565L, 579L, 593L, 607L, 621L, 635L, 649L, 663L, 677L, 691L, 705L, 719L, 2L, 16L, 30L, 44L, 58L, 72L, 86L, 100L, 114L, 128L, 142L, 156L, 170L, 184L,...

...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, 131L, > 145L, 159L, 173L, 187L, 201L, 215L, 229L, 243L, 257L, 271L, 285L, > 299L, 313L, 327L, 341L, 355L, 369L, 383L, 397L, 411L, 425L, 439L, > 453L, 467L, 481L, 495L, 509L, 523L, 537L, 551L, 565L, 579L, 593L, > 607L, 621L, 635L, 649L, 663L, 677L, 691L, 705L, 719L, 2L, 16L, > 30L, 44L, 58L, 72L, 86L, 100L, 114L, 128L, 142L...

...0L, 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, 131L, > > 145L, 159L, 173L, 187L, 201L, 215L, 229L, 243L, 257L, 271L, 285L, > > 299L, 313L, 327L, 341L, 355L, 369L, 383L, 397L, 411L, 425L, 439L, > > 453L, 467L, 481L, 495L, 509L, 523L, 537L, 551L, 565L, 579L, 593L, > > 607L, 621L, 635L, 649L, 663L, 677L, 691L, 705L, 719L, 2L, 16L, > > 30L, 44L, 58L, 72L, 86L, 10...

...471L, 438L, 413L, 506L, 16L, 18L, 17L, 26L, 25L, 21L, 39L, 45L, 38L, 33L, 30L, 22L, 146L, 86L, 61L, 495L, 493L, 56L, 91L, 102L, 98L, 104L, 84L, 90L, 58L, 73L, 88L, 104L, 136L, 156L, 172L, 184L, 237L, 241L, 261L, 266L, 341L, 161L, 182L, 201L, 165L, 170L, 221L, 186L, 191L, 186L, 186L, 220L, 203L, 251L, 186L, 217L, 231L, 306L, 367L, 320L, 326L, 367L, 350L, 361L, 329L, 311L, 271L, 230L, 251L, 144L, 148L, 128L, 195L, 193L, 187L, 179L, 169L, 91L, 79L, 82L, 89L, 191L, 213L, 247L...

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

...???????????????????????????????????90L, >58L, 73L, 88L, 104L, 136L, 156L, 172L, 184L, 237L, 241L,? > >???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????261L, >266L, 341L, 161L, 182L, 201L, 165L, 170L, 221L, 186L,? > >???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????191L, >186L, 186L, 220L, 203L, 251L, 186L, 217L, 231L, 306L,? > >???????????????????????????????????...