search for: 215l

...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, 202L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 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, 1...

...621, 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("TSS", "GPP", "RiverMile"), class = "data.f...

...621, 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("TSS", "GPP", "RiverMile"), class = "data.f...

...26L, 30518L, 84949L, 157260L, 145691L, 85801L, 62044L, 44439L, 23272L, 22391L, 20159L, 14854L, 35379L, 31142L, 7736L, 13221L, 4894L), Fry = c(0L, 0L, 326L, 1735L, 1807L, 2208L, 3883L, 8759L, 6060L, 19326L, 63119L, 100524L, 52582L, 88170L, 145564L, 111416L, 38233L, 5248L, 17826L, 11038L, 34008L, 215L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 161L, 321L, 1000L, 4425L, 13055L, 19488L, 30518L, 84818L, 156909L, 144786L, 84207L, 57720L, 31049L, 6858L, 1616L, 719L, 364L, 49L, 0L, 0L, 0L, 0L), Smolt = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 62L, 0L, 0L, 38L, 195L, 433L, 3518L, 7067L, 11290L, 23058L, 10327L, 68712L,...

...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 = "DayOfYear", rdimnames...

..."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", "190", "198", "202&quot...

...15L, 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, 23L, 132L, 343L, 447L, 457L, 428L, 359L, 353L, 498L, 169L,? 46L, 29L, 444L, 194L, 439L, 284L, 79L, 226L, 105L, 106L, 326L,? 234L, 196L, 417L, 190L, 480L, 275L, 478L, 341L, 1...

...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, 179L, 175L, 177L, 176L, 172L, 174L, 173L, 171L, 169L, 170L, 166L, 168L, 167L, 163L, 165L...

..., 0L, 2L, 3L, ? ? ? ? 1L, 0L, 4L, 1L, 4L, 1L, 3L, 1L), V5 = c(0L, 1L, 0L, 1L, ? ? ? ? 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, ? ? ? ? 2L, 1L), V6 = c(3367L, 631L, 159L, 193L, 176L, 192L, ? ? ? ? 127L, 176L, 73L, 176L, 183L, 200L, 183L, 152L, 40L, 135L, ? ? ? ? 183L, 191L, 199L, 215L)), .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, 0L, 0L), V2 = 0:19, V3...

...t;, "DOW_NUM", "WEEK"), row.names = c(223L, 235L, 272L, 287L, 330L, 346L, 379L, 395L, 634L, 655L, 683L, 707L, 750L, 761L, 790L, 808L, 837L, 865L, 887L, 923L, 948L, 968L, 1001L, 1017L, 418L, 448L, 476L, 502L, 527L, 554L, 580L, 600L, 16L, 37L, 74L, 95L, 123L, 135L, 176L, 192L, 215L, 236L, 277L, 288L, 331L, 339L, 384L, 391L, 625L, 653L, 684L, 705L, 737L, 755L, 783L, 807L, 834L, 859L, 885L, 915L, 944L, 967L, 993L, 1020L, 417L, 443L, 469L, 501L, 532L, 550L, 577L, 603L, 17L, 36L, 57L, 79L, 107L, 132L, 158L, 183L, 210L, 237L, 269L, 299L, 315L, 348L, 372L, 397L, 626L, 657L, 68...

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

..., 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, 198L,...

...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...

...4L, 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, 11...

...L, 475L, 447L, 470L, 468L, 396L, 423L, 431L, 427L, 424L, 375L, 358L, 324L, 309L, 341L, 362L, 421L, 445L, 501L, 512L, 19L, 6L, 20L, 32L, 31L, 36L, 27L, 12L, 146L, 89L, 91L, 89L, 89L, 112L, 141L, 144L, 160L, 141L, 129L, 127L, 155L, 186L, 215L, 219L, 246L, 300L, 293L, 280L, 351L, 384L, 390L, 397L, 347L, 200L, 195L, 175L, 91L, 106L, 114L, 97L, 110L, 102L, 85L, 91L, 100L, 130L, 140L, 159L, 167L, 191L, 243L, 231L, 236L, 255L, 262L, 281L, 294L, 244L, 166L, 186L, 191L, 111L, 131L...

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

...\214 &#65533;", 0x2aaaaaca0340 "", 0x3be32123a2 "I\211&#65533;\213L$0L\213D$(H\213|$ H\213t$\030H\213T$\020H\213L$\bH\213\004$H\203&#65533;A&#65533;\220H\203&#65533;H\211\004$H\211T$\bL\211D$\020L\211L$\030H\211L$ H\211t$(H\211|$0H\211l$8H\215D$`H\211D$@H\215L$\bH\213T$`H\213t$XI\211&#65533;\001&#65533;\001&#65533;&#65533;\003H\213|$PL\215D$H&#65533;020I\211&#65533;\213T$\bL\213D$\020L\213L$\030H\213\004$L\213T$HM\205&#65533;\026H\213L$ H\213t$(H\213|$0H\203&#65533;A&#65533;\211\\$"..., 0x0, 0x0, 0x20 <Address...

...?????????????????????????????????????27L, >12L, 146L, 89L, 91L, 89L, 89L, 112L, 141L, 144L, 160L,? > >???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????141L, >129L, 127L, 155L, 186L, 215L, 219L, 246L, 300L, 293L,? > >???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????280L, >351L, 384L, 390L, 397L, 347L, 200L, 195L, 175L, 91L,? > >????????????????????????????????????...

...?????????????????????????????????????????????????????27L, 12L, 146L, 89L, 91L, 89L, 89L, 112L, 141L, 144L, 160L,? ???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????141L, 129L, 127L, 155L, 186L, 215L, 219L, 246L, 300L, 293L,? ???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????280L, 351L, 384L, 390L, 397L, 347L, 200L, 195L, 175L, 91L,? ????????????????????????????????????????????????????????...

Hey everyone, I am an R-newby... so sorry for bothering you with simple-to-solve questions;) I have the following issue: trying to add labels to my scatterplots (with geom_dl in ggplot2). Everything works fine, but after checking every resource I do not find a way to change the font size of my labels. I tried size, cex, fontsize at every position... but it always stays the same. ggplot()+