search for: 126l

...R") data.precios <- read.table ("p_diarios.txt ", header =TRUE , dec=",", sep="\t") Time <- data.precios$time # 01.02.2004 - 12.05.2011 Price <- data.precios$price # Historical spot price log.Price <- log(data.precios$price) Error en Math.factor(c(12L, 126L, 213L, 342L, 160L, 186L, 219L, 37L, 54L, : log not meaningful for factors As you can see, I cannot calculate the price logarithms. Any help is appreciated. Sandro -- View this message in context: http://r.789695.n4.nabble.com/How-to-convert-factors-to-numbers-tp4498828p4498828.html Sent fro...

...1st_event = structure(c(14784, 14784, 14784, 14784, 14784, 14784, 14784, 14784, 14784, 14784 ), class = "Date"), bp_date = structure(c(12660, 14571, 13392, 13080, 12012, 13080, 13894, 14622, 12654, 13894), class = "Date"), SBP = c(135L, 160L, 135L, 153L, 150L, 153L, 151L, 126L, 150L, 151L), DBP = c(85L, 80L, NA, 79L, 82L, 79L, 76L, 60L, 82L, 91L)), .Names = c("prochi", "date_1st_event", "bp_date", "SBP", "DBP"), row.names = 108:117, class = "data.frame") It consists of repeated measures for the same...

...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, 154L, 46L, 57L, 57L, 70L, 55L, 102L, 111L, 152L, 204L, 41L,...

...example below, the behavior is the opposite of the help page, if I am understanding it correctly, and a warning is thrown when it does seem to work as desired. c1 <- structure(list(Contr = c(0.028, 0.043, 0.064, 0.097, 0.146, 0.219 ), Correct = c(34L, 57L, 94L, 152L, 160L, 160L), Incorrect = c(126L, 103L, 66L, 8L, 0L, 0L)), .Names = c("Contr", "Correct", "Incorrect" ), row.names = c("13", "15", "17", "19", "21", "23"), class = "data.frame") q25 <- rep( qlogis( 0.25 ), nrow(c1) ) # offset d...

...255L, 363L, 298L, 373L, 416L, 200L, 56L,? 263L, 288L, 13L, 305L, 291L, 17L, 53L, 130L, 458L, 385L, 198L,? 158L, 140L, 492L, 249L, 27L, 134L, 479L, 171L, 177L, 9L, 355L,? 398L, 380L, 404L, 304L, 129L, 338L, 281L, 65L, 386L, 144L, 252L,? 77L, 352L, 20L, 96L, 403L, 296L, 268L, 489L, 63L, 424L, 496L,? 126L, 334L, 183L, 232L, 406L, 407L, 163L, 346L, 287L, 475L, 127L,? 321L, 124L, 237L, 308L, 376L, 212L, 423L, 211L, 329L, 437L, 179L,? 253L, 372L, 101L, 251L, 90L, 433L, 311L, 241L, 327L, 422L, 349L,? 493L, 442L, 38L, 449L, 410L, 370L, 421L, 325L, 451L, 240L, 71L,? 392L, 2L, 151L, 332L, 83L, 350L, 87L, 3...

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

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 <-

...L or a numeric vector of length either one or equal to the number of cases. ... but with the following example, I get an error if the offset is of length 1 c1 <- structure(list(Contr = c(0.028, 0.043, 0.064, 0.097, 0.146, 0.219 + ), Correct = c(34L, 57L, 94L, 152L, 160L, 160L), Incorrect = c(126L, + 103L, 66L, 8L, 0L, 0L)), .Names = c("Contr", "Correct", "Incorrect" + ), row.names = c(NA, 6L), class = "data.frame") glm(cbind(Correct, Incorrect) ~ Contr - 1, binomial, data = c1, offset = qlogis(0.25)) Error in model.frame.default(formula = cbind(Cor...

...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, 25L, 26L, 33L, 34L, 35L...

...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, 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, 70...

...L, 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.frame") I use this codes (I made them more simple for this post)...

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

...16L, 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, 68L, 72L, 77L, 79L, 67L, 62L, 65L, 63L, 59L, 63L, 74L, 92L, 112L, 149L, 206L, 225L, 195L, 227L, 308L, 329L, 363L, 405L, 444L, 446L, 448L, 4...

This post about length 1 offsets on R help seems to have been ignored (sorry deleted original email - is there a way to continue thread in this case?) https://stat.ethz.ch/pipermail/r-help/2009-February/189352.html It does seem to be a bug, in that glm does not behave as documented. In fact the same bug applies to lm as well. I don't think the suggested fix works though - Y isn't

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

...2L, 2L, 2L, 2L, 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, 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...

dear R-team I need to find the min, max values for each patient from dataset and keep the output of it as a dataframe with the following columns - Patient nr - Region (remains same per patient) - Min score - Max score Patient Region Score Time 1 1 X 19 28 2 1 X 20 126 3 1 X 22 100 4 1 X 25 191 5 2 Y 12 1

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

...141L, 155L, 169L, 183L, 197L, 211L, 225L, 239L, 253L, 267L, 281L, 295L, 309L, 323L, 337L, 351L, 365L, 379L, 393L, 407L, 421L, 435L, 449L, 463L, 477L, 491L, 505L, 519L, 533L, 547L, 561L, 575L, 589L, 603L, 617L, 631L, 645L, 659L, 673L, 687L, 701L, 715L, 729L, 13L, 27L, 41L, 55L, 69L, 83L, 97L, 111L, 126L, 140L, 154L, 168L, 182L, 196L, 210L, 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,...

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