search for: 120l

....89, 29.5, 30.54, 40.63, 40.73, 41.74, 43.5, 44.33, 45.33, 46.05, 47.11, 47.34, 49.58, 50.71, 77, 86.68, 97, 133.6, 203.48), Size = c(664640L, 440L, 407L, 180L, 690L, 851L, 190L, 480L, 720L, 74L, 111L, 1560L, 11400L, 160L, 9333L, 55665L, 222L, 23662L, 210L, 12735L, 1757L, 63736L, 18318L, 460L, 120L, 680L, 400L, 960L, 432L, 259L, 840L, 8200L, 630L, 180L, 189L, 1490L, 27L, 8080L, 6291L, 240L, 841L, 5469L, 4035L, 12555L, 5320L, 9249L, 240L, 1149L, 40L, 660L, 333L, 4360L, 180L, 360L, 240L, 2900L, 120L, 2639L, 1221L, 10019L, 2990L, 259L, 25L, 320L, 1684L, 305L, 40L, 27L, 4213L, 108L, 222L, 216...

...390, 480, 450, 420, 390)), .Names = c("REF", "TIMEREF", "TOENDREF"), row.names = c(NA, 12L), class = "data.frame") datain ## salida dataout <- structure(list(REF = c(999L, 999L, 999L, 1099L, 731L, 731L, 731L, 731L, 1442L, 1442L, 1442L, 1442L), TIMEREF = c(120L, 240L, 360L, 30L, 30L, 60L, 90L, 120L, 30L, 60L, 90L, 120L), TOENDREF = c(390L, 270L, 150L, 120L, 90L, 30L, 420L, 300L, 270L, 210L, 120L, 0L), NEWREF = c(999L, 999L, 999L, 999L, 999L, 999L, 731L, 731L, 731L, 731L, 731L, 731L)), .Names = c("REF", "TIMEREF", "TOENDREF...

...t;TIMEREF", "TOENDREF"), row.names = c(NA, 12L), class = "data.frame") > > datain > > > > ## salida > > dataout <- structure(list(REF = c(999L, 999L, 999L, 1099L, 731L, 731L, > > 731L, > > 731L, 1442L, 1442L, 1442L, 1442L), TIMEREF = c(120L, 240L, 360L, > > 30L, 30L, 60L, 90L, 120L, 30L, 60L, 90L, 120L), TOENDREF = c(390L, > > 270L, 150L, 120L, 90L, 30L, 420L, 300L, 270L, 210L, 120L, 0L), > > NEWREF = c(999L, 999L, 999L, 999L, 999L, 999L, 731L, 731L, > > 731L, 731L, 731L, 731L)), .Names = c("REF&qu...

...actor"), YR_MO = c(201011L, 201012L, 201101L, 201102L, 201103L, 201104L, 201105L, 201106L, 201107L, 201108L, 201109L, 201011L, 201012L, 201101L, 201102L, 201103L, 201104L, 201105L, 201106L, 201107L, 201108L, 201109L ), TOT_TESTS = c(66L, 98L, 109L, 122L, 113L, 111L, 113L, 146L, 124L, 130L, 120L, 349L, 393L, 376L, 371L, 396L, 367L, 406L, 383L, 394L, 412L, 379L)), .Names = c("X", "RESULT", "YR_MO", "TOT_TESTS" ), class = "data.frame", row.names = c(NA, -22L))   Currently there are 2 observations for each month (one for negative and one for...

...09", "16/05/09", "23/05/09"), class = "factor"), Analysis = structure(c(1L, 2L, 1L, 2L, 1L, 2L, 1L, 3L, 4L, 1L, 3L, 4L), .Label = c("A", "B", "C", "D"), class = "factor"), Startup_cost = c(100L, 120L, 100L, 120L, 100L, 120L, 100L, 50L, 60L, 100L, 50L, 60L), Sup_cost = c(10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L)), .Names = c("Product", "Batch", "Date.in", "Date.out", "Analysis", "Startup_cost", "Sup_cos...

...L, 83L, 84L, 85L, 86L, 87L, 88L, 89L, 90L, 91L, 92L, 93L, 94L, 95L, 96L, 97L, 98L, 99L, 100L, 101L, 102L, 103L, 104L, 105L, 106L, 107L, 108L, 109L, 110L, 111L, 112L, 113L, 114L, 115L, 116L, ...... ...... ..... V2 = structure(c(278L, 23L, 11L, 169L, 14L, 86L, 94L, 51L, 37L, 43L, 22L, 169L, 49L, 120L, 18L, 60L, 42L, 41L, 38L, 64L, 38L, 32L, 140L, 146L, 106L, 26L, 46L, 65L, 17L, 106L, 20L, 33L, 68L, 62L, 111L, 10L, 149L, 17L, 49L, 164L, 271L, 8L, 60L, 2L, 48L, 127L, 80L, 70L, 13L, 31L, 32L, 3L, 50L, 144L, 25L, 12L, 84L, 80L, 116L, 6L, 49L, 127L, 5L, 56L, 13L, 49L, 39L, 1...

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

...nteger_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_, NA_integer_), tree = c(427L, 410L, 639L, 494L, 649L, 166L, 735L, 163L, 120L, 755L, 612L, 174L, 129L, 331L, 269L, 152L, 552L, 227L, 243L, 96L), spp = c("MH", "MST", "MH", "HE", "BE", "MH", "MH", "MH", "MH", "Or", "IW", "Or", "MH", &quot...

...2", "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=paste(dat...

...4 = c(2L, 1L, 4L, 1L, 4L, 2L, 0L, 2L, 4L, 1L, 2L, 3L, 2L, 1L, 3L, 0L, 4L, 1L, 4L, 1L ), V5 = c(1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L), V6 = c(878L, 145L, 112L, 104L, 112L, 96L, 112L, 168L, 192L, 112L, 192L, 200L, 200L, 199L, 32L, 201L, 176L, 200L, 224L, 120L)), .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 =...

...8L, 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, 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,? 156...

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

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

Hi R-users,   I would like to search for the values of seq that match my rand values.  In excel I will use =VLOOKUP(G2,$E$2:$F$32,2).  For example, for rand=.262 it will give me approximately seq=120 and rand=0.964293344, seq=460 and etc.   E           F     G cdf         seq   rand 0.00E+00    0     0.262123478 1.56E-03    20    0.964293344 1.55E-02    40    0.494827113 5.30E-02    60   

...3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 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...

...30L, 110L, 29L, 0L, 0L), V16 = c(784L, 675L, 1157L, 1488L, 1511L, 1004L, 420L, 523L, 733L, 724L, 833L, 542L, 171L, 116L, 384L, 357L, 197L, 0L, 0L, 0L, 246L, 0L, 0L, 0L, 0L), V17 = c(444L, 873L, 530L, 596L, 448L, 431L, 109L, 446L, 378L, 243L, 284L, 148L, 69L, 30L, 6L, 71L, 32L, 131L, 0L, 0L, 120L, 0L, 0L, 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...

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

I have been working with the pls procedure and have problems getting the procedure to work with matrix or frame data. I suspect the problem lies in my understanding of frames, but can't find anything in the documentation that will help. Here is what I have done: I read in an 10000 x 8 table of data, and assign the first four columns to matrix A and the second four to matrix B pls <-

...uot;1", "2", "3", "4"), class = "factor")), .Names = c("Y2", "X", "GRP"), row.names = c(NA, -22L), class = "data.frame") df2 <- structure(list(X = c(1L, 10L, 20L, 30L, 40L, 50L, 60L, 70L, 80L, 90L, 100L, 110L, 120L, 130L, 140L, 150L), P025 = c(0.000319, 0.00928, 0.0232, 0.0393, 0.0556, 0.0699, 0.0833, 0.0949, 0.104, 0.113, 0.119, 0.124, 0.129, 0.134, 0.138, 0.144), P50 = c(0.00352, 0.0262, 0.0479, 0.0681, 0.0855, 0.103, 0.118, 0.134, 0.149, 0.164, 0.178, 0.19, 0.202, 0.213, 0.224, 0.234), P975 = c(0.016, 0.05...

...L, 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", &quo...