search for: 148l

Hadley, I don't know if I am doing something wrong or if it is ggplot please see the two graphs at the bottom of the page (code). melt.nut <- (structure(list(RiverMile = c(119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L...

....537773727, 3.249103284, 3.249103284, 2.470317011, 0.768531626, 2.633107621, 3.113199095, 0.773824094, 3.208461305, 0.680150068, 0.680150068, 0.026385752, 0.369310858, 8.049276658, 7.487378383, 0.950072035, 0.950072035, 0.763580377, 0.333244629, 5.475999014, 9.235631398, 2.587682905), RiverMile = c(148L, 179L, 185L, 202L, 179L, 185L, 190L, 119L, 148L, 179L, 185L, 202L, 215L, 119L, 202L, 198L, 215L, 148L, 198L, 190L, 202L, 215L, 198L, 198L, 215L, 148L, 148L, 202L, 202L, 215L, 119L, 179L, 185L, 190L, 198L, 61L, 61L, 119L, 148L, 202L, 202L, 61L, 61L, 119L, 148L, 185L, 202L, 215L )), .Names = c("...

....16, 0.54, 0.36, 0.13, 0.07), TIN.TP = c(3.117647059, 2.736842105, 2.25, 22, 3, 2.428571429, 6.428571429, NA, NA, 2.384615385, 3, NA, 3.25, NA, 3.166666667, 9, 23, 3.5, 11, 3.916666667, 3.4, 3.444444444, 8.75, 2.733333333, 3.583333333, 2.75, 17, NA, 2.933333333, 2.533333333, 2.5, 11), RiverMile = c(148L, 179L, 185L, 202L, 179L, 185L, 190L, 119L, 148L, 179L, 185L, 202L, 119L, 202L, 148L, 190L, 202L, 148L, 202L, 119L, 179L, 185L, 190L, 61L, 119L, 148L, 202L, 202L, 119L, 148L, 185L, 202L)), .Names = c("GPP", "TSS", "Iron", "TIN.TP", "RiverMile"), clas...

....537773727, 3.249103284, 3.249103284, 2.470317011, 0.768531626, 2.633107621, 3.113199095, 0.773824094, 3.208461305, 0.680150068, 0.680150068, 0.026385752, 0.369310858, 8.049276658, 7.487378383, 0.950072035, 0.950072035, 0.763580377, 0.333244629, 5.475999014, 9.235631398, 2.587682905), RiverMile = c(148L, 179L, 185L, 202L, 179L, 185L, 190L, 119L, 148L, 179L, 185L, 202L, 215L, 119L, 202L, 198L, 215L, 148L, 198L, 190L, 202L, 215L, 198L, 198L, 215L, 148L, 148L, 202L, 202L, 215L, 119L, 179L, 185L, 190L, 198L, 61L, 61L, 119L, 148L, 202L, 202L, 61L, 61L, 119L, 148L, 185L, 202L, 215L )), .Names = c("...

...00L, 960L, 432L, 259L, 840L, 8200L, 630L, 180L, 189L, 1490L, 27L, 8080L, 6291L, 240L, 841L, 5469L, 4035L, 12555L, 5320L, 9249L, 240L, 1149L, 40L, 660L, 333L, 4360L, 180L, 360L, 240L, 2900L, 120L, 2639L, 1221L, 10019L, 2990L, 259L, 25L, 320L, 1684L, 305L, 40L, 27L, 4213L, 108L, 222L, 216L, 80L, 148L, 135L, 970L, 222L, 240L, 1332L, 43875L, 210L, 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, 275...

merge can only merge two objects at a time- I would like to merge more than two objects at a time. s.d <- structure(list(RiverMile = c(202L, 198L, 190L, 185L, 179L, 148L, 119L, 61L)), .Names = "RiverMile", row.names = c(NA, -8L), class = "data.frame") #s.d is all of the river miles that can occur in all of the data frames that I want to put together feb06 <- structure(list(RiverMile = c(202L, 190L, 185L), X2.1.06 = c(2850000, NA, NA)), .Nam...

...ne on 96+ constituents? feb06 <- structure(list(RiverMile = c(202L, 190L, 185L), X2.1.06 = c(2850000, NA, NA)), .Names = c("RiverMile", "X2.1.06"), row.names = c(29L, 31L, 32L), class = "data.frame") may06 <- structure(list(RiverMile = c(202L, 198L, 190L, 185L, 148L), X5.1.06 = c(NA_real_, NA_real_, NA_real_, NA_real_, NA_real_)), .Names = c("RiverMile", "X5.1.06"), row.names = c(29L, 30L, 31L, 32L, 34L), class = "data.frame") merge(feb06, may06, by="RiverMile") Error in fix.by(by.x, x) : 'by' must specify co...

...04", "2006/05", "2006/07", "2006/10", "2006/12", "2007/02", "2007/04", "2007/06", "2007/08", "2007/10", "2007/12", "2008/01"), class = "factor"), RiverMile = c(61L, 119L, 148L, 179L, 185L, 187L, 190L, 196L, 198L, 202L, 215L, 61L, 119L, 148L, 179L, 185L, 187L, 190L, 196L, 198L), Site = structure(c(9L, 1L, 2L, 3L, 4L, 10L, 5L, 11L, 6L, 7L, 8L, 9L, 1L, 2L, 3L, 4L, 10L, 5L, 11L, 6L ), .Label = c("119", "148", "179", "185&quo...

...57L, 45L, 72L, 30L, 71L, 123L, 89L, 102L, 60L, 44L, 59L, 124L, 145L, 126L, 103L, 67L, 97L, 66L, 76L, 108L, 36L, 48L, 41L, 69L, 47L, 57L, 167L, 136L, 176L, 85L, 36L, 82L, 222L, 149L, 171L, 145L, 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, 52...

..., 67L, 78L, 67L, 46L, 34L, 31L, 42L, 34L, 21L, 28L, 18L, 18L, 18L, 10L, 19L, 6L, 9L, 10L, 6L, 6L, 5L, 3L, 9L, 4L, 3L, 4L, 5L, 2L, 6L, 4L, 2L, 2L, 3L, 3L, 0L, 0L, 0L, 0L, 2L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 2L, 1L, 0L, 0L, 0L, 0L, 2L, 0L, 0L, 0L, 1L), kum = c(0L, 0L, 0L, 0L, 1L, 8L, 48L, 148L, 424L, 967L, 1919L, 3333L, 5186L, 7385L, 9820L, 12090L, 14132L, 15811L, 17197L, 18305L, 19227L, 20019L, 20661L, 21258L, 21711L, 22135L, 22505L, 22802L, 23080L, 23298L, 23506L, 23678L, 23852L, 24001L, 24125L, 24223L, 24321L, 24388L, 24466L, 24533L, 24579L, 24613L, 24644L, 24686L,...

...L,? 118L, 109L, 182L, 219L, 42L, 73L, 435L, 389L, 431L, 81L, 149L,? 388L, 415L, 256L, 312L, 446L, 45L, 162L, 485L, 154L, 55L, 153L,? 137L, 290L, 93L, 40L, 110L, 167L, 315L, 266L, 317L, 314L, 264L,? 277L, 488L, 28L, 354L, 303L, 490L, 192L, 432L, 228L, 222L, 418L,? 323L, 244L, 239L, 193L, 120L, 116L, 148L, 57L, 246L, 300L, 143L,? 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, 322...

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

...27L, 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, 120L, 0L, 0L, 0L, 0L), V18 = c(307L, 128L, 823L, 566L, 383L, 454L, 62L, 90L, 99L, 261L, 351L, 94L, 81L, 0L, 37L, 113L, 28L, 0L, 0L, 0L, 15L, 17L, 0L, 0L, 0L), V19 = c(53L, 138L, 207L, 451L, 282L, 40L, 31L, 7L, 128L, 137L, 166L, 38L, 0L, 1L, 0L, 0L, 1...

...109L, -114L, -118L, -102L, -109L, -101L, -101L, -74L, -78L, -63L, -67L, -75L, -65L, -60L, -62L, -67L, -59L, -62L, -68L, -61L, -58L, -69L, -57L, -59L, -67L, -73L, -81L, -90L, -87L, -82L, -80L, -80L, -81L, -83L, -90L, -89L, -107L, -122L, -128L, -113L, -124L, -93L, -89L, -92L, -85L, -79L, -84L, -83L, -148L, -142L, -127L, -130L, -123L, -131L, -85L, -87L, -90L, -81L, -65L, -81L, -119L, -121L, -94L, -90L, -117L, -95L, -69L, -122L, -103L, -85L, -106L)), .Names = c("mine", "dCu65", "dD"), class = "data.frame", row.names = c(NA, -130L))

...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, 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...

...3L, 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, 499L, 9L, 1L, 4L, 470L, 247L, 216L, 284L, 127L, 108L, 107L, 129L, 134L, 105L, 99L, 95L, 97L, 97L, 111L, 138L, 160L, 180L, 211L, 187L, 216L, 253L...

...L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L), .Label = c("Negative", "Neutral", "Positive"), class = "factor"), value = c(153L, 157L, 151L, 152L, 129L, 129L, 89L, 134L, 129L, 126L, 125L, 106L, 108L, 120L, 148L, 109L, 128L, 123L, 132L, 111L, 142L, 139L, 146L, 156L, 153L, 167L, 123L, 161L, 177L, 178L, 163L, 175L, 140L, 141L, 143L, 217L, 206L, 185L, 192L, 203L, 196L, 190L, 195L, 192L, 217L, 210L, 181L, 197L, 222L, 123L, 168L, 156L, 169L, 178L, 178L, 149L, 181L, 175L, 177L, 168L, 153L, 179L, 139L, 156L, 142L...

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

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

...elForecast <- forecast (MyModel, h=12) Since my last observation was on december 31st, 2016 I expected my forecast date to start on 2017, but instead it returned odd dates. This is my dataset dput(dataset): structure(list(Date = structure(c(8L, 22L, 36L, 50L, 64L, 78L, 92L, 106L, 120L, 134L, 148L, 162L, 176L, 190L, 204L, 218L, 232L, 246L, 260L, 274L, 288L, 302L, 316L, 330L, 344L, 358L, 372L, 386L, 400L, 414L, 428L, 442L, 456L, 470L, 484L, 498L, 512L, 526L, 540L, 554L, 568L, 582L, 596L, 610L, 624L, 638L, 652L, 666L, 680L, 694L, 708L, 722L, 5L, 19L, 33L, 47L, 61L, 75L, 89L, 103L, 117L, 130L,...