search for: 121l

...-66L, -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...

Dear R-user, For the "matplot" of the following data drawn by >matplot(t, pch=1) structure(c(2372L, 2494L, 2170L, 2238L, 1918L, 715L, 1573L, 2437L, 2481L, 1881L, 440L, 2165L, 343L, 121L, 597L, 1163L, 1459L, 2093L, 1454L, 1761L, 1872L, 174L, 2040L, 552L, 1403L, 6381L, 1649L, 4136L, 4415L, 10650L, 12111L, 4397L, 9593L, 7040L, 3888L, 8340L, 11475L, 11413L, 3985L, 1077L, 7723L, 1392L, 4099L, 4386L, 4737L, 1731L, 9246L, 7729L, 4264L, 6880L), .Dim = c(25L, 2L)) How can i encircle (loca...

...uot;), class = "factor"), Sq122.median = c(2.335835, 1.76091, 1.64717, 1.285505, 1.572405, 1.86761, 1.82541, 1.62458, 0.157813, 0.864523)), .Names = c("SPECSHOR", "Sq122.median"), class = "data.frame", row.names = c(9L, 16L, 23L, 74L, 83L, 90L, 98L, 109L, 121L, 139L)) par(mfrow=c(2,2)) ## not necessary in that example, but I do need it with my real data boxplot(Sq122.median~SPECSHOR, data=df, horizontal=TRUE) ## the upper label on the y-axis (gicam) is not shown I know I can decrease the size of the labels by setting cex.axis=0.8, but I would pref...

...4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L, 7L, 7L, 7L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L, 7L, 7L, 7L), .Label = c("A", "B", "C", "D", "E", "F", "G"), class = "factor"), 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, 154...

...439L, 284L, 79L, 226L, 105L, 106L, 326L, 234L, 196L, 417L, 190L,? 480L, 275L, 478L, 341L, 197L, 395L, 85L, 295L, 70L, 18L, 471L,? 218L, 19L, 43L, 280L, 427L, 229L, 5L, 205L, 494L, 393L, 307L,? 465L, 383L, 265L, 103L, 348L, 166L, 58L, 320L, 14L, 107L, 440L,? 24L, 347L, 419L, 135L, 202L, 294L, 173L, 121L, 358L, 51L, 231L,? 118L, 109L, 182L, 219L, 42L, 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, 19...

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

...0L, 0L), V18 = c(307L, 128L, 823L, 566L, 383L, 454L, 62L, 90L, 99L, 261L, 351L, 94L, 81L, 0L, 37L, 113L, 28L, 0L, 0L, 0L, 15L, 17L, 0L, 0L, 0L), V19 = c(53L, 138L, 207L, 451L, 282L, 40L, 31L, 7L, 128L, 137L, 166L, 38L, 0L, 1L, 0L, 0L, 19L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), V20 = c(0L, 14L, 121L, 127L, 71L, 0L, 0L, 0L, 0L, 0L, 2L, 0L, 0L, 0L, 7L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L)), .Names = c("X", "Y", "V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8", "V9", "V10",...

...3L, 64L, 65L, 66L, 67L, 38L, 39L, 40L, 41L, 42L, 43L, 44L, 45L, 46L, 47L, 49L, 50L, 51L, 52L, 53L, 54L, 55L, 56L, 57L, 58L, 60L, 61L, 68L, 79L, 90L, 93L, 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,...

...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, 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,...

...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.frame") I use this codes (I made them more simple for this post) # per groups (P1, S1, S8, R6) dotchart(ZZ$N, cex=.7, groups=...

Hello, I'm a new R user. I have two different dummy tables with the variable name tb1 and tb2. tb1< v1 v2 v3 v4 "chr1" 22 23 3 "chr1" 36 37 1 "chr1" 54 55 0 "chr1" 77 78 1 "chr2" 80 81 4 "chr2" 85 86 0 "chr2" 99 100 1

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

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

I want to take the first row of each unique ID value from a data frame. For instance > ddTable <- data.frame(Id=c(1,1,2,2),name=c("Paul","Joe","Bob","Larry")) I want a dataset that is Id Name 1 Paul 2 Bob > unique(ddTable) Will give me all 4 rows, and > unique(ddTable$Id) Will give me c(1,2), but not accompanied by the name column.

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

...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, 205L, 219L, 233L, 247L, 261L, 275L, 289L, 303L, 317L, 331L, 345L, 359L, 373L, 387L, 401L, 415L, 429L, 443L, 457L, 471L, 485L, 499L, 513L, 527L, 541L, 555L, 569L, 583L, 597L, 611L, 625L, 639L, 653L, 667L, 681L, 695L, 709L, 723L, 6L, 20L, 34L, 48L, 62L, 76L, 90L, 104L,...

...80L, 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, 205L, 219L, 233L, 247L, 261L, 275L, 289L, 303L, 317L, 331L, > 345L, 359L, 373L, 387L, 401L, 415L, 429L, 443L, 457L, 471L, 485L, > 499L, 513L, 527L, 541L, 555L, 569L, 583L, 597L, 611L, 625L, 639L, > 653L, 667L, 681L, 695L, 709L, 723L, 6L, 20L, 34L, 48L, 6...

...L, 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, 205L, 219L, 233L, 247L, 261L, 275L, 289L, 303L, 317L, 331L, > > 345L, 359L, 373L, 387L, 401L, 415L, 429L, 443L, 457L, 471L, 485L, > > 499L, 513L, 527L, 541L, 555L, 569L, 583L, 597L, 611L, 625L, 639L, > > 653L, 667L, 681L, 695L, 709L, 723L,...

...218595, 0.0000234, 0.008376655, 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, -1.431...

...86L, 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, 253L, 283L, 291L, 323L, 327L, 295L, 296L, 292L, 210L, 270L, 374L, 3L, 484L, 42L, 47L, 51L, 121L, 123L, 198L, 337L, 336L, 385L, 55L, 60L, 54L, 71L, 78L, 70L, 64L, 436L, 67L, 79L, 93L, 129L, 133L, 152L, 158L, 163L, 154L, 131L, 136L, 126L, 145L, 185L, 179L, 194L, 214L, 219L, 296L, 322L, 378L, 422L, 452L, 480L, 508L, 166L, 119L, 76L,...