search for: 119l

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...

...0317011, 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("TSS", "GPP", "RiverMil...

....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"), class = "data.frame", row.names = c(...

...0317011, 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("TSS", "GPP", "RiverMil...

...;2006/04", "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", "1...

...81L, -81L, -71L, -68L, -79L, -73L, -77L, -74L, -71L, -73L, -80L, -76L, -80L, -74L, -77L, -74L, -77L, -74L, -82L, -79L, -72L, -74L, -71L, -76L, -72L, -76L, -73L, -75L, -78L, -81L, -77L, -77L, -73L, -79L, -104L, -98L, -98L, -109L, -106L, -99L, -107L, -100L, -98L, -95L, -95L, -95L, -97L, -98L, -121L, -119L, -118L, -121L, -121L, -106L, -116L, -122L, -112L, -125L, -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...

I have data in a file named hands.dat, which is given at the end of this question. (It's from a stats textbook example on anova). I'd like to do an aov on this, which I guess would be d <- read.table("~/hands.dat", header=TRUE) aov(Bacterial.Counts ~ Water + Soap + Antibacterial.Soap + Alcohol.Spray, data=d) but this fails. Do I need to break d$Method up into columns for

Hi All, I have a scatter plot produced using ggplot2 and I want to add the regression line to this scatter plot. I suppose I can use geom_smooth() to do this, but for the sake of learning ( I am new both to R and ggplot2), I want to try and add it as a function (something that curve() does in the standard R plotting). I did some search and found that stat_function() can be used for this. But

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)), .Names = c...

...1051312", "2011051312", "2011051312", "2011051312" )), .Names = c("Station_NO", "TMAX_2M", "TMIN_2M", "TD_2M", "PS", "FF_10M", "DD_10M", "date2"), row.names = c(108L, 112L, 113L, 114L, 119L, 120L), class = "data.frame") 2) My script outfile<- with(as.data.frame(Alldados),sprintf("INSERT INTO OBS (date,TMAX_2M,TMIN_2M,TD_2M,PS,FF_10M,DD_10M,Station_NO) VALUES (%s, %s, %s, %s,%s,%s,%s,%s)",date2,TMAX_2M,TMIN_2M,TD_2M,PS,Station_NO)) write.table(outfile,file=pas...

...L, 83L, 350L, 87L, 361L, 330L, 279L, 362L,? 310L, 487L, 278L, 367L, 248L, 462L, 59L, 213L, 68L, 112L, 60L,? 481L, 165L, 235L, 22L, 434L, 272L, 460L, 309L, 301L, 500L, 282L,? 82L, 100L, 261L, 34L, 188L, 133L, 344L, 7L, 486L, 67L, 399L,? 254L, 41L, 483L, 64L, 405L, 108L, 236L, 384L, 467L, 49L, 283L,? 119L, 463L, 147L, 379L, 216L, 474L, 204L, 48L, 260L, 12L, 337L,? 187L, 271L, 31L, 289L, 172L, 35L, 408L, 164L, 91L, 351L, 443L,? 436L, 469L, 186L, 472L, 297L, 50L, 425L, 224L, 3L, 221L, 11L,? 391L, 33L, 243L, 247L, 152L, 98L, 482L, 111L, 257L, 155L, 47L,? 10L, 468L, 270L, 313L, 86L, 293L, 160L, 168L, 40...

I'm trying to read a binary file created by a fortran code using readBin and readChar. Everything reads fine (integers and strings) except for double precision numbers, they are read as huge or very small number (1E-250,...). I tried various endianness, swap, But nothing has worked so far. I also tried on R 64 bit for linux and windows (R 2.14) and R 2.11 on windows XP 32 bit. Any help would

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

...3L, 94L, 95L, 96L, 97L, 98L, 69L, 70L, 71L, 72L, 73L, 74L, 75L, 76L, 77L, 78L, 80L, 81L, 82L, 83L, 84L, 85L, 86L, 87L, 88L, 89L, 91L, 92L, 99L, 110L, 121L, 123L, 124L, 125L, 126L, 127L, 128L, 100L, 101L, 102L, 103L, 104L, 105L, 106L, 107L, 108L, 109L, 111L, 112L, 113L, 114L, 115L, 116L, 117L, 118L, 119L, 120L, 122L, 2L, 13L, 24L, 27L, 28L, 29L, 30L, 31L, 32L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 25L, 26L, 33L, 34L, 35L, 36L), .Label = c("", "10/1/2008", "10/10/2008", "10/11/2008", "10/12/2008"...

...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, 99L, 97L, 98L, 94L, 96L, 95L, 93L, 91L, 92L, 90L, 88L, 89L, 85L, 86L, 87L, 84L, 82L, 83L, 81L, 79L, 80L, 76L, 77L, 78L, 75L, 73L, 74L, 72L, 70L, 71L, 69L, 67L, 68L, 66L, 64L, 65L, 61L, 62L,...

...L, 43L, 6L, 44L, 87L, 5L, 31L, 61L, 79L, 55L, 36L, 67L, 2L, 32L, 108L, 47L, 66L, 86L, 88L, 122L, 11L, 16L, 94L, 95L, 115L, 123L, 24L, 80L, 78L, 111L, 103L, 3L, 22L, 23L, 10L, 107L, 97L, 75L, 96L, 106L, 102L, 118L, 7L, 110L, 30L, 59L, 76L, 114L, 74L, 104L, 1L, 64L, 73L, 54L, 58L, 19L, 69L, 92L, 14L, 119L, 18L, 127L, 41L, 15L, 8L, 49L, 91L, 65L, 120L, 113L, 93L, 17L, 126L, 29L, 105L, 90L, 77L, 81L, 45L, 38L, 85L, 39L, 53L, 9L, 121L, 125L, 109L, 101L, 48L, 52L, 84L, 21L, 60L, 72L, 56L, 124L, 57L, 12L, 112L, 13L, 4L, 26L, 89L, 116L, 27L, 128L, 20L, 117L, 40L, 33L, 28L, 37L, 25L), class = "data.fr...

This is an example of two months of data from a twenty four month data set that I would like to apply this too. These data are subsets of the same stations throught time, but differing ones were included on different sampling dates. I would like to subset these data and then put them together as a big matrix with the by column being RiverMile. What is the easiest way to proceed as this is a

...00L, 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, 284L, 127L, 108L, 107L, 129L, 134L, 105L, 99L, 95L, 97L, 97L, 111L, 138L, 160L, 180L, 211L, 187L, 216L...

...L, 1294L, 834L, 628L, 731L, 913L, 879L, 1344L, 1233L, 1538L, 1155L, 507L, 415L, 620L, 183L, 793L, 1269L, 1457L, 394L, 130L, 1949L, 706L, 1262L, 939L, 822L, 1067L, 914L, 454L, 1710L, 1510L, 901L, 1370L, 1253L, 892L, 226L, 1048L, 899L, 1231L, 1424L, 1415L, 762L, 1536L, 1219L, 1132L, 1314L, 147L, 119L, 120L, 153L, 91L, 335L, 1929L, 1064L, 1012L, 1149L), Letters = c(3746L, 3640L, 4295L, 4968L, 3202L, 777L, 3941L, 4769L, 1075L, 3829L, 5159L, 3527L, 7874L, 5236L, 6149L, 6555L, 10180L, 4960L, 5399L, 2767L, 3758L, 6275L, 6391L, 6151L, 4685L, 5267L, 4767L, 3780L, 1574L, 3261L, 9985L, 4106L, 1332L,...

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