search for: 161l

...5L, 36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 44L, 45L, 46L, 47L, 48L, 49L, 50L, 51L, 52L), Total = c(0L, 0L, 326L, 1735L, 1807L, 2208L, 3883L, 8820L, 6060L, 19326L, 63158L, 100718L, 53015L, 91689L, 152629L, 122708L, 61293L, 15574L, 86538L, 75365L, 303259L, 19691L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 161L, 321L, 1000L, 4425L, 13202L, 19726L, 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, 38233...

...5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5L, 6, 6, 6, 6, 6, 6, 6, 6, 7, 9, 9, 9, 9, 9, 10, 10, 10, 10, 10, 11, 16, 18, 20, 21, 22)), .Names = c("Price", "Size", "bandNum"), row.names = c(NA, -161L), class = "data.frame") -- View this message in context: http://r.789695.n4.nabble.com/aggregate-function-not-working-tp4646527.html Sent from the R help mailing list archive at Nabble.com.

...L, 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, 184L, 378L, 217L,? 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, 288...

...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, 115L, 135L, 143L, 164L, 158L, 111L, 119L, 131L, 120L, 160L, 141L, 161L, 123L...

...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, 120L, 118L, 119L, 117L, 115L, 116L, 112L, 114L, 113L, 109L, 110L...

...71L, 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, 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,...

Hello, I have a question about how to plot a series of data. The folloqing is my data matrix of n > n 25p 5p 2.5p 0.5p 16B-E06.g 45379 4383 5123 45 16B-E06.g 45138 4028 6249 52 16B-E06.g 48457 4267 5470 54 16B-E06.g 47740 4676 6769 48 37B-B02.g 42860 6152 19276 72 35B-A02.g 48325 12863 38274 143 35B-A02.g 48410 12806 39013 175 35B-A02.g 48417 9057 40923

...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, 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,...

Man, R has a steep learning curve (but I suppose you all know this). I have very little programming knowledge, so when I search for answers to my questions, I struggle with making sense of a lot of the pages. I have a spreadsheet that I've read into R using read.csv. I've also attached it. It looks like this (except there are 1600+ entries): > Sunday SunDate SunTime

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

..., 178L, 192L, 206L, 220L, 234L, 248L, 262L, 276L, 290L, 304L, 318L, 332L, 346L, 360L, 374L, 388L, 402L, 416L, 430L, 444L, 458L, 472L, 486L, 500L, 514L, 528L, 542L, 556L, 570L, 584L, 598L, 612L, 626L, 640L, 654L, 668L, 682L, 696L, 710L, 724L, 7L, 21L, 35L, 49L, 63L, 77L, 91L, 105L, 119L, 133L, 147L, 161L, 175L, 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,...

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

...220L, 234L, 248L, 262L, 276L, 290L, 304L, 318L, > 332L, 346L, 360L, 374L, 388L, 402L, 416L, 430L, 444L, 458L, 472L, > 486L, 500L, 514L, 528L, 542L, 556L, 570L, 584L, 598L, 612L, 626L, > 640L, 654L, 668L, 682L, 696L, 710L, 724L, 7L, 21L, 35L, 49L, > 63L, 77L, 91L, 105L, 119L, 133L, 147L, 161L, 175L, 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...

...2L, 276L, 290L, 304L, 318L, > > 332L, 346L, 360L, 374L, 388L, 402L, 416L, 430L, 444L, 458L, 472L, > > 486L, 500L, 514L, 528L, 542L, 556L, 570L, 584L, 598L, 612L, 626L, > > 640L, 654L, 668L, 682L, 696L, 710L, 724L, 7L, 21L, 35L, 49L, > > 63L, 77L, 91L, 105L, 119L, 133L, 147L, 161L, 175L, 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,...

...55, 0.003841158, 0.007218929, 0.011170246, 0.001264155, 0.002183796, 0.041432825, 0.018248241, 0.025279435, 0.00728945, 0.015218596, 0.000139047 ), ppitots = c(127L, 144L, 123L, 139L, 132L, 104L, 124L, 101L, 139L, 143L, 125L, 118L, 143L, 136L, 101L, 155L, 121L, 163L, 144L, 137L, 161L, 132L, 129L, 172L, 130L, 149L, 130L, 127L, 131L, 100L, 134L, 140L, 130L, 156L, 129L, 105L, 104L, 144L, 131L, 155L, 141L, 148L, 122L), ppi_1_corrected = c(0.790903075, -0.699393955, -2.327819799, 1.081391412, 1.312482037, -1.237538376, -2.908572705, -1.431192482, 0.849643836, -0.1648...

..., 34L, 35L, 36L, 37L, 38L, 39L, 63L, 64L, 65L, 66L, 67L, 68L, 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) > > s...

... 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

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

Hello, I have a pedigree file such this: FAMID ID FA ID MO ID SEX STATUS 1 1 0 0 2 0 1 2 3 1 2 2 1 4 3 1 1 2 1 5 3 1 1 0 1 6 3 1 1 0 1 7 3 1 2 2 1 8 3 1 1 0 1 9 3 1 1 0 1 10 3 1 2 0 1 11 3 1 1 0 1 3 0 0 1 0 2 12 13