search for: 171l

Good Afternoon, I'm trying to create a graph that displays the best way the following information. ??? For instance organized by bar graph, A, B, C Source X1000s X600s X500s X250s X100s X50s X10s X5s X3s X1s 1 A 47 63 75 116 125 129 131 131 131 131 2 B 37 64 45 11 25 19 61 131 186 186 3 C 17 62 25 66 12 29 91 171 186

...I am working with below. The parts that are particularly hard for me is how I would simultaneously remove and replace a list and conditionally sum only if a value exists. Thank you. Kevin dput(r007[1]) structure(list("100026" = structure(list(DayOfYear = c(3L, 30L, 149L, 156L, 165L, 171L, 187L, 198L, 212L, 215L, 216L, 218L, 221L, 224L, 226L, 227L), Quantity = c(1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L)), .Names = c("DayOfYear", "Quantity" ), row.names = c(NA, 16L), class = c("cast_df", "data.frame"), idvars = "Day...

...st(Case = structure(1:11, .Label = c("A", "B", "C", "D", "E", "F", "G", "H", "I", "J", "K"), class = "factor"), Yes = c(18L, 2L, 1L, 2L, 44L, 27L, 2L, 15L, 13L, 3L, 34L), No = c(171L, 11L, 5L, 8L, 146L, 80L, 5L, 30L, 22L, 5L, 42L), Num = c(189L, 13L, 6L, 10L, 190L, 107L, 7L, 45L, 35L, 8L, 76L)), .Names = c("Case", "Yes", "No", "Num"), class = "data.frame", row.names = c(NA, -11L)) Thanks in advance Sam

...ted States", "Japan", "Japan", "Japan"), value = c(NA, 34.288, 31.831, 29.636, 30.539, 29.093, NA, 0, -2.7, -7.4, -5.7, -7)), .Names = c("Date", "variable", "var2", "value" ), row.names = c(21L, 22L, 23L, 169L, 170L, 171L, 206L, 207L, 208L, 354L, 355L, 356L), class = "data.frame") gp <- ggplot(g, aes(Date, value)) gp<- gp + geom_line() gp <-gp + facet_grid(var2 ~ variable) gp this works, but trying to get a bar chart version gp <- ggplot(g, aes(Date, value)) gp<- gp + geom_bar(stat="...

...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, 163L, 346L, 287L, 475L, 127L,? 321L, 124L, 237L, 308L, 376L, 212L, 423L, 211L, 329L, 437L, 179L,? 253L, 372L, 101L,...

...L, 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, 120L, 0L, 0L, 0L, 0L), V18 = c(307L, 128L, 823L, 566L, 383L, 454L, 62L, 90L, 99L, 261L, 351L, 94L, 81L, 0L, 37L...

...", "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", "br", "bl"), row.names = c(NA, 10...

...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, 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...

...400, 500, 600)); abline(h = c(100, 200, 300, 400, 500, 600), lty=2); mtext("Usage over a 24 hour period",side=3); dev.off(); Contents of str structure: str <- structure(list(timeofday = 1:23, connections = c(116L, 87L, 51L, 44L, 75L, 147L, 264L, 275L, 233L, 294L, 132L, 140L, 198L, 171L, 248L, 226L, 257L, 246L, 210L, 189L, 180L, 238L, 303L)), .Names = c("timeofday", "connections"), row.names = c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11"...

...actor"), total = c(135L, 118L, 121L, 64L, 53L, 49L, 178L, 123L, 128L, 127L, 62L, 129L, 126L, 99L, 183L, 45L, 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, 161...

...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, 499L, 9L, 1L, 4L, 470L, 247L, 216L,...

I am trying to model the observed leaching of wood preservative chemicals from treated wood during an outdoor experiment where leaching is caused by rainfall events. For each rainfall event, the amount of rainfall was recorded as well as the amount of preservative chemical leached. A number of climatic variables were measured, but the most important is the amount of rainfall. I have tried a

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

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

..., 189L, 203L, 217L, 231L, 245L, 259L, 273L, 287L, 301L, 315L, 329L, 343L, 357L, 371L, 385L, 399L, 413L, 427L, 441L, 455L, 469L, 483L, 497L, 511L, 525L, 539L, 553L, 567L, 581L, 595L, 609L, 623L, 637L, 651L, 665L, 679L, 693L, 707L, 721L, 4L, 18L, 32L, 46L, 60L, 74L, 88L, 102L, 116L, 129L, 143L, 157L, 171L, 185L, 199L, 213L, 227L, 241L, 255L, 269L, 283L, 297L, 311L, 325L, 339L, 353L, 367L, 381L, 395L, 409L, 423L, 437L, 451L, 465L, 479L, 493L, 507L, 521L, 535L, 549L, 563L, 577L, 591L, 605L, 619L, 633L, 647L, 661L, 675L, 689L, 703L, 717L, 731L), .Label = c("01/01/05", "01/01/11", &q...

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

...231L, 245L, 259L, 273L, 287L, 301L, 315L, 329L, 343L, 357L, > 371L, 385L, 399L, 413L, 427L, 441L, 455L, 469L, 483L, 497L, 511L, > 525L, 539L, 553L, 567L, 581L, 595L, 609L, 623L, 637L, 651L, 665L, > 679L, 693L, 707L, 721L, 4L, 18L, 32L, 46L, 60L, 74L, 88L, 102L, > 116L, 129L, 143L, 157L, 171L, 185L, 199L, 213L, 227L, 241L, 255L, > 269L, 283L, 297L, 311L, 325L, 339L, 353L, 367L, 381L, 395L, 409L, > 423L, 437L, 451L, 465L, 479L, 493L, 507L, 521L, 535L, 549L, 563L, > 577L, 591L, 605L, 619L, 633L, 647L, 661L, 675L, 689L, 703L, 717L, > 731L), .Label = c("01/01/05", &quo...

...3L, 287L, 301L, 315L, 329L, 343L, 357L, > > 371L, 385L, 399L, 413L, 427L, 441L, 455L, 469L, 483L, 497L, 511L, > > 525L, 539L, 553L, 567L, 581L, 595L, 609L, 623L, 637L, 651L, 665L, > > 679L, 693L, 707L, 721L, 4L, 18L, 32L, 46L, 60L, 74L, 88L, 102L, > > 116L, 129L, 143L, 157L, 171L, 185L, 199L, 213L, 227L, 241L, 255L, > > 269L, 283L, 297L, 311L, 325L, 339L, 353L, 367L, 381L, 395L, 409L, > > 423L, 437L, 451L, 465L, 479L, 493L, 507L, 521L, 535L, 549L, 563L, > > 577L, 591L, 605L, 619L, 633L, 647L, 661L, 675L, 689L, 703L, 717L, > > 731L), .Label = c("...

..., 69L, 70L, 71L, 72L, 73L, 74L, 75L, 76L, 77L, 95L, 96L, 97L, 98L, 99L, 100L, 101L, 102L, 103L, 104L, 105L, 106L, 107L, 108L, 109L, 110L, 127L, 128L, 129L, 130L, 131L, 132L, 133L, 134L, 135L, 136L, 137L, 138L, 139L, 140L, 141L, 159L, 160L, 161L, 162L, 163L, 164L, 165L, 166L, 167L, 168L, 169L, 170L, 171L, 172L, 173L, 174L ), class = c("nfnGroupedData", "nfGroupedData", "groupedData", "data.frame"), formula = Prop ~ end | temp, FUN = function (x) max(x, na.rm = TRUE), order.groups = TRUE) > > sessionInfo() R Under development (unstable) (2017-07-31 r730...

... 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