search for: 208l

..."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, 1L)), row.names = c("42", "43", "44", "45", "46", "47", "48", "49&qu...

...5,0.2] 72 5 (0.2,0.25] 65 6 (0.25,0.3] 73 7 (0.3,0.35] 74 .... I would prefer a dataframe labelled like this. 0.05 68 0.1 87 How to do? Thanks Wim > dput (test.tab) structure(c(68L, 87L, 85L, 72L, 65L, 73L, 74L, 72L, 77L, 78L, 75L, 74L, 83L, 93L, 89L, 75L, 67L, 59L, 56L, 208L), .Dim = 20L, .Dimnames = structure(list( c("(0,0.05]", "(0.05,0.1]", "(0.1,0.15]", "(0.15,0.2]", "(0.2,0.25]", "(0.25,0.3]", "(0.3,0.35]", "(0.35,0.4]", "(0.4,0.45]", "(0.45,0.5]", &quot...

...rees of freedom AIC: NA Number of Fisher Scoring iterations: 6 > dput (skn300.tab) structure(list(n = 1:97, freq = c(0L, 0L, 0L, 0L, 1L, 7L, 40L, 100L, 276L, 543L, 952L, 1414L, 1853L, 2199L, 2435L, 2270L, 2042L, 1679L, 1386L, 1108L, 922L, 792L, 642L, 597L, 453L, 424L, 370L, 297L, 278L, 218L, 208L, 172L, 174L, 149L, 124L, 98L, 98L, 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...

...: ## df df<-structure(list(Temperature = c(18.63, 18.4, 18.18, 16.99, 16.86, 11.39, 11.39, 11.37, 11.37, 11.37, 11.37), JulianDay.Hour = c(22610L, 22610L, 22610L, 22610L, 22610L, 22611L, 22611L, 22611L, 22611L, 22611L, 22611L), Minutes.Seconds = c(4608L, 4611L, 4614L, 4638L, 4641L, 141L, 144L, 208L, 211L, 214L, 238L)), .Names = c("Temperature", "JulianDay.Hour", "Minutes.Seconds"), row.names = c(3176L, 3177L, 3178L, 3179L, 3180L, 3079L, 3080L, 3054L, 3055L, 3056L, 3057L ), class = "data.frame") ## Extraction method for times df$Time.Incorrect <- pas...

..."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="identity") gp...

...L, 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, 322L, 397L, 88L, 207L, 150L, 209L...

...0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 88L, 0L, 70L, 101L, 13L, 634L, 0L, 0L, 71L, 640L, 1636L), V3 = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 49L, 3L, 113L, 1L, 44L, 167L, 336L, 933L, 0L, 14L, 388L, 1180L, 1709L), V4 = c(0L, 0L, 0L, 0L, 0L, 0L, 3L, 12L, 0L, 0L, 2L, 1L, 36L, 45L, 208L, 7L, 221L, 213L, 371L, 1440L, 26L, 211L, 389L, 1382L, 1614L), V5 = c(96L, 7L, 0L, 0L, 0L, 10L, 17L, 0L, 5L, 0L, 0L, 11L, 151L, 127L, 160L, 27L, 388L, 439L, 1117L, 1571L, 81L, 598L, 1107L, 1402L, 891L), V6 = c(16L, 30L, 13L, 0L, 0L, 10L, 195L, 60L, 29L, 29L, 1L, 107L, 698L, 596L, 655L, 227...

...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, 164L, 162L, 160L, 161L, 159L...

...18247037, 0.331145431749362)), .Names = c("gridcell", "MAJOR_LC", "RD_DENSITY", "WOLVES_99", "WOLVES_01", "PRED_SUIT", "Forest", "Shrub", "Ag", "predicted", "prob99"), row.names = c(NA, -208L), class = "data.frame") ?head(wolf) wolfsub<-subset(wolf,subset=!(WOLVES_99==2)) wolfsub$Forest<-ifelse(wolfsub$MAJOR_LC==42,1,0) wolfsub$Shrub<-ifelse(wolfsub$MAJOR_LC==51,1,0) wolfsub$Ag<-ifelse(wolfsub$MAJOR_LC>81,1,0) m1<-glm(WOLVES_99~RD_DENSITY+Forest+Shrub+Ag,fam...

...224L, 238L, 252L, 266L, 280L, 294L, 308L, 322L, 336L, 350L, 364L, 378L, 392L, 406L, 420L, 434L, 448L, 462L, 476L, 490L, 504L, 518L, 532L, 546L, 560L, 574L, 588L, 602L, 616L, 630L, 644L, 658L, 672L, 686L, 700L, 714L, 728L, 12L, 26L, 40L, 54L, 68L, 82L, 96L, 110L, 124L, 138L, 152L, 166L, 180L, 194L, 208L, 222L, 236L, 250L, 264L, 278L, 292L, 306L, 320L, 334L, 348L, 362L, 376L, 390L, 404L, 418L, 432L, 446L, 460L, 474L, 488L, 502L, 516L, 530L, 544L, 558L, 572L, 586L, 600L, 614L, 628L, 642L, 656L, 670L, 684L, 698L, 712L, 726L, 10L, 24L, 38L, 52L, 66L, 80L, 94L, 108L, 121L, 135L, 149L, 163L, 177L, 191L,...

...ot;factor"), ? ? ? ? V4 = c(4L, 2L, 4L, 3L, 1L, 4L, 3L, 0L, 3L, 2L, 3L, 4L, ? ? ? ? 0L, 3L, 4L, 3L, 2L, 1L, 3L, 0L), V5 = c(1L, 1L, 1L, 1L, ? ? ? ? 0L, 1L, 1L, 2L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, ? ? ? ? 0L, 0L), V6 = c(991L, 312L, 271L, 409L, 176L, 280L, 360L, ? ? ? ? 735L, 248L, 208L, 152L, 167L, 295L, 159L, 393L, 199L, ? ? ? ? 135L, 257L, 151L, 112L)), .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...

...66L, 280L, 294L, 308L, 322L, 336L, 350L, 364L, 378L, > 392L, 406L, 420L, 434L, 448L, 462L, 476L, 490L, 504L, 518L, 532L, > 546L, 560L, 574L, 588L, 602L, 616L, 630L, 644L, 658L, 672L, 686L, > 700L, 714L, 728L, 12L, 26L, 40L, 54L, 68L, 82L, 96L, 110L, 124L, > 138L, 152L, 166L, 180L, 194L, 208L, 222L, 236L, 250L, 264L, 278L, > 292L, 306L, 320L, 334L, 348L, 362L, 376L, 390L, 404L, 418L, 432L, > 446L, 460L, 474L, 488L, 502L, 516L, 530L, 544L, 558L, 572L, 586L, > 600L, 614L, 628L, 642L, 656L, 670L, 684L, 698L, 712L, 726L, 10L, > 24L, 38L, 52L, 66L, 80L, 94L, 108L, 121L, 135L, 149...

...L, 322L, 336L, 350L, 364L, 378L, > > 392L, 406L, 420L, 434L, 448L, 462L, 476L, 490L, 504L, 518L, 532L, > > 546L, 560L, 574L, 588L, 602L, 616L, 630L, 644L, 658L, 672L, 686L, > > 700L, 714L, 728L, 12L, 26L, 40L, 54L, 68L, 82L, 96L, 110L, 124L, > > 138L, 152L, 166L, 180L, 194L, 208L, 222L, 236L, 250L, 264L, 278L, > > 292L, 306L, 320L, 334L, 348L, 362L, 376L, 390L, 404L, 418L, 432L, > > 446L, 460L, 474L, 488L, 502L, 516L, 530L, 544L, 558L, 572L, 586L, > > 600L, 614L, 628L, 642L, 656L, 670L, 684L, 698L, 712L, 726L, 10L, > > 24L, 38L, 52L, 66L, 80L, 94L, 1...

...7, 4, 9, 3), hare = c(20, 32, 10, 16, 11, 11, 15, 15, 35.294118, 33, 26, 22, 27, 27, 22, 33, 33, 32, 34, 29.473684, 27.368421, 20, 8.421053, 32, 27, 30, 30, 31, 24, 16.842105, 15.789474, 25, 26, 30, 23, 29, 10, 22, 16, 29, 30, 27, 24 ), ext_t = c(193L, 374L, 127L, 181L, 198L, 112L, 208L, 194L, 185L, 224L, 275L, 204L, 235L, 257L, 149L, 279L, 320L, 322L, 188L, 220L, 273L, 206L, 129L, 296L, 223L, 277L, 156L, 195L, 219L, 155L, 167L, 176L, 220L, 227L, 224L, 195L, 150L, 277L, 134L, 285L, 255L, 225L, 176L), total_barrat_11_imputed = c(52, 49.65517241, 49, 50, 59, 33,...

...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, 285L, 310L, 331L, 230L, 200L, 232L, 245L, 234L, 236L, 229L, 150L, 189L, 212L, 183L, 208L, 216L, 174L, 191L, 212L, 258L, 295L, 318L, 338L, 379L, 424L, 428L, 428L, 469L, 452L, 460L, 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, 2...

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

...??????????????????????????????????????????????????????????????????????200L, >232L, 245L, 234L, 236L, 229L, 150L, 189L, 212L, 183L,? > >????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????208L, >216L, 174L, 191L, 212L, 258L, 295L, 318L, 338L, 379L,? > >???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????424L, >428L, 428L, 469L, 452L, 460L, 475L, 447L, 470L, 468L,? > >?...

...??????????????????????????????????????????????????????????????????????????????????200L, 232L, 245L, 234L, 236L, 229L, 150L, 189L, 212L, 183L,? ????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????208L, 216L, 174L, 191L, 212L, 258L, 295L, 318L, 338L, 379L,? ???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????424L, 428L, 428L, 469L, 452L, 460L, 475L, 447L, 470L, 468L,? ?????????????????????????...

...145L, 146L, 147L, 148L, 149L, 150L, 151L, 152L, 153L, 154L, 155L, 156L, 157L, 158L, 159L, 160L, 161L, 162L, 163L, 164L, 165L, 166L, 167L, 168L, 169L, 183L, 184L, 185L, 186L, 187L, 188L, 189L, 190L, 191L, 192L, 193L, 194L, 195L, 196L, 197L, 198L, 199L, 200L, 201L, 202L, 203L, 204L, 205L, 206L, 207L, 208L, 222L, 223L, 224L, 225L, 226L, 227L, 228L, 229L, 230L, 231L, 232L, 233L, 234L, 235L, 236L, 237L, 238L, 239L, 240L, 241L, 242L, 243L, 244L, 245L, 246L, 247L, 261L, 262L, 263L, 264L, 265L, 266L, 267L, 268L, 269L, 270L, 271L, 272L, 273L, 274L, 275L, 276L, 277L, 278L, 279L, 280L, 281L, 282L, 283L, 284L...

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()+