search for: 230l

Hi -I am using R v 2.13.0. I am trying to use the aggregate function to calculate the percent at length for each Trip_id and CommonName. Here is a small subset of the data. Trip_id Vessel CommonName Length Count 1 230 Sunlight Shad,American 19 1 2 230 Sunlight Shad,American 20 1 3 230 Sunlight Shad,American 21

...= 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)["b"]) pred <- data.frame(GPP = f, TSS =...

...0, 1, 0, 1), Int.Prev.Est.1 = c(2647L, 19706L, 1832L, 15229L, 1277L, 11456L), Int.Prev.Est.2 = c(6448L, 14576L, 4545L, 11227L, 3127L, 8527L), Int.Prev.Est.3 = c(1087L, 1618L, 842L, 1314L, 515L, 930L), Int.Prev.Est.4 = c(484L, 599L, 288L, 434L, 225L, 352L), Int.Prev.Est.5 = c(477L, 428L, 297L, 344L, 230L, 293L)), .Names = c("age", "sex", "Int.Prev.Est.1", "Int.Prev.Est.2", "Int.Prev.Est.3", "Int.Prev.Est.4", "Int.Prev.Est.5"), row.names = c("93110", "93610", "94110", "94610", "95110&qu...

...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, 175L,? 92L, 225L, 276L, 185L, 336L, 371L, 306L, 366L, 319L, 203L, 44L,? 259L, 2...

...= c(1047L, 1315L, 1506L, 1562L, 1254L, 1336L, 1106L, 1213L, 1220L, 1457L, 858L, 1606L, 590L, 726L, 598L, 945L, 732L, 258L, 45L, 6L, 937L, 436L, 43L, 0L, 0L), V15 = c(845L, 935L, 1295L, 1077L, 1400L, 1049L, 802L, 1247L, 1449L, 1046L, 1134L, 877L, 327L, 352L, 470L, 564L, 461L, 166L, 0L, 0L, 230L, 110L, 29L, 0L, 0L), V16 = c(784L, 675L, 1157L, 1488L, 1511L, 1004L, 420L, 523L, 733L, 724L, 833L, 542L, 171L, 116L, 384L, 357L, 197L, 0L, 0L, 0L, 246L, 0L, 0L, 0L, 0L), V17 = c(444L, 873L, 530L, 596L, 448L, 431L, 109L, 446L, 378L, 243L, 284L, 148L, 69L, 30L, 6L, 71L, 32L, 131L, 0L, 0L, 120...

..., 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, 665L, 673L, 680L, 701L, 688L, 712L, 737L, 738L,...

...8L, 14L, 46L, 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,...

..., .Label = c("CBP06036", "CBP06095", "CBP06098", "CBP06100", "CBP06112", "CBP06118", "CBP06127", "CBP06158", "CBP06163", "CBP06166"), class = "factor"), tl = c(302L, 211L, 347L, 223L, 178L, 230L, 243L, 278L, 391L, 252L), tr = c(99L, 134L, 171L, 210L, 158L, 252L, 89L, 247L, 258L, 168L), br = c(305L, 212L, 346L, 223L, 178L, 231L, 244L, 277L, 388L, 254L), bl = c(142L, 288L, 284L, 191L, 144L, 360L, 147L, 184L, 164L, 186L)), .Names = c("basestudy", "tl", "tr", &quo...

...c("Var1", "Var2", "Freq" ), row.names = c(265L, 267L, 266L, 262L, 263L, 264L, 259L, 261L, 260L, 258L, 256L, 257L, 255L, 253L, 254L, 250L, 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...

...= 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(GPP~TSS, data=r, xlim=c(-0.5, 29), groups=River...

...122L, 192L, 136L, 164L, 154L, 46L, 57L, 57L, 70L, 55L, 102L, 111L, 152L, 204L, 41L, 46L, 103L, 156L, 148L, 155L, 103L, 124L, 176L, 111L, 142L, 187L, 43L, 52L, 75L, 64L, 91L, 78L, 196L, 314L, 265L, 44L, 39L, 98L, 197L, 273L, 274L, 89L, 91L, 74L, 91L, 112L, 98L, 140L, 90L, 121L, 120L, 161L, 83L, 230L, 266L, 282L, 35L, 53L, 57L, 315L, 332L, 202L, 90L, 79L, 89L, 67L, 116L, 109L, 44L, 68L, 75L, 29L, 52L, 52L, 253L, 203L, 87L, 105L, 234L, 152L, 247L, 243L, 144L, 167L, 165L, 95L, 300L, 128L, 125L, 84L, 183L, 88L, 153L, 185L, 175L, 226L, 216L, 118L, 118L, 94L, 224L, 259L, 176L, 175L, 147L, 197L,...

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

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

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

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

... 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

..., 247L, 261L, 275L, 289L, 303L, 317L, 331L, 345L, 359L, 373L, 387L, 401L, 415L, 429L, 443L, 457L, 471L, 485L, 499L, 513L, 527L, 541L, 555L, 569L, 583L, 597L, 611L, 625L, 639L, 653L, 667L, 681L, 695L, 709L, 723L, 6L, 20L, 34L, 48L, 62L, 76L, 90L, 104L, 118L, 132L, 146L, 160L, 174L, 188L, 202L, 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,...

...289L, 303L, 317L, 331L, > 345L, 359L, 373L, 387L, 401L, 415L, 429L, 443L, 457L, 471L, 485L, > 499L, 513L, 527L, 541L, 555L, 569L, 583L, 597L, 611L, 625L, 639L, > 653L, 667L, 681L, 695L, 709L, 723L, 6L, 20L, 34L, 48L, 62L, 76L, > 90L, 104L, 118L, 132L, 146L, 160L, 174L, 188L, 202L, 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,...

...1L, > > 345L, 359L, 373L, 387L, 401L, 415L, 429L, 443L, 457L, 471L, 485L, > > 499L, 513L, 527L, 541L, 555L, 569L, 583L, 597L, 611L, 625L, 639L, > > 653L, 667L, 681L, 695L, 709L, 723L, 6L, 20L, 34L, 48L, 62L, 76L, > > 90L, 104L, 118L, 132L, 146L, 160L, 174L, 188L, 202L, 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, 13...