search for: 160l

...t(id = c(1L, 1L, 1L, 1L, 8L, 8L, 16L, 16L, 16L, 16L, 16L, 19L, 32L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 79L, 79L, 80L, 80L, 80L, 80L, 85L, 86L, 96L, 96L, 96L, 103L, 103L, 106L, 106L, 106L, 106L, 106L, 106L, 106L, 140L, 140L, 144L, 144L, 144L, 144L, 144L, 144L, 144L, 146L, 146L, 146L, 146L, 160L, 160L, 160L, 160L, 160L, 160L, 164L, 164L, 176L, 176L, 176L, 176L, 176L, 176L, 176L, 176L, 181L, 190L, 192L, 192L, 192L, 192L, 192L, 192L, 197L, 197L, 197L, 224L, 224L, 224L, 229L, 232L, 232L, 232L, 232L, 232L, 232L, 232L, 249L, 249L), age = c(6.6054794521, 9.301369863, 22.638356164, 31.961670089,...

...4.5, 24.61, 24.76, 24.85, 24.99, 25, 25.6, 25.61, 25.7, 26.09, 26.5, 26.72, 26.89, 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,...

...ios <- 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 from the R help maili...

...a newdata argument. In the 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( 0.2...

...d_1", "ind_1"), date_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 consist...

...fset ... This should be NULL 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....

..."factor"), ? ? V4 = c(2L, 5L, 2L, 1L, 2L, 5L, 4L, 5L, 1L, 5L, 4L, 3L, 4L, ? ? 0L, 2L, 3L, 1L, 3L, 5L, 0L), V5 = c(1L, 0L, 1L, 0L, 1L, 1L, ? ? 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L), ? ? V6 = c(598L, 95L, 142L, 83L, 143L, 167L, 32L, 129L, 31L, ? ? 136L, 2L, 142L, 23L, 160L, 105L, 144L, 64L, 152L, 71L, 129L ? ? )), .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,...

...", "BF", "MH", "IW", "OR", "MH", "SM", "BE", "BE", "BE", "OR", "OR"), oaz = c(38L, 205L, 140L, 277L, 329L, 209L, 222L, 24L, 67L, 187L, 156L, 181L, 174L, 248L, 42L, 279L, 273L, 357L, 160L, 183L)), .Names = c("oplt", "tree", "spp", "oaz"), row.names = c(1204L, 2943L, 5790L, 1616L, 5063L, 2013L, 5691L, 8188L, 8200L, 7822L, 6302L, 54L, 1698L, 2960L, 421L, 6690L, 775L, 245L, 6205L, 4121L), class = "data.frame") # count per spp invisi...

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

...L, 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, 409L, 170L, 84L,? 180L, 76L, 99L, 214L, 15L, 414L, 394L, 450L, 4L, 61L, 339L, 342L,? 1L, 470L, 210L, 37L, 345L, 115L, 141L, 302L, 178L, 445L, 6L,? 466L, 285L, 174L, 201L, 114L, 369L, 390L, 69L, 420L, 464L, 269L,? 455L, 382L, 25L, 123L, 95L, 230L, 72L, 250L, 473L, 8L, 274L,? 238L, 62L, 461L,...

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   

...0L, 0L, 0L, 0L, 49L, 3L, 113L, 1L, 44L, 167L, 336L, 933L, 0L, 14L, 388L, 1180L, 1709L), V4 = c(0L, 0L, 0L, 0L, 0L, 0L, 3L, 12L, 0L, 0L, 2L, 1L, 36L, 45L, 208L, 7L, 221L, 213L, 371L, 1440L, 26L, 211L, 389L, 1382L, 1614L), V5 = c(96L, 7L, 0L, 0L, 0L, 10L, 17L, 0L, 5L, 0L, 0L, 11L, 151L, 127L, 160L, 27L, 388L, 439L, 1117L, 1571L, 81L, 598L, 1107L, 1402L, 891L), V6 = c(16L, 30L, 13L, 0L, 0L, 10L, 195L, 60L, 29L, 29L, 1L, 107L, 698L, 596L, 655L, 227L, 287L, 677L, 1477L, 1336L, 425L, 873L, 961L, 1360L, 1175L), V7 = c(249L, 101L, 69L, 0L, 18L, 186L, 331L, 291L, 259L, 248L, 336L, 404L, 6...

...mation from other df for every id six month previous the index date. Then I should normalize the ftime to a common time frame and look form patterns in that time frame. (Do not know yet how I will do it. ) ### test data #### structure(list(id = c(1L, 1L, 1L, 46L, 80L, 80L, 80L, 80L, 88L, 160L, 179L, 179L, 179L, 179L, 179L, 179L, 192L, 192L, 192L, 204L, 204L, 204L, 204L, 205L, 211L, 233L, 233L, 272L, 272L, 272L, 272L, 309L, 309L, 309L, 310L, 310L, 314L, 314L, 315L, 316L, 320L, 320L, 320L, 320L, 324L, 324L, 324L, 329L, 329L, 339L, 354L, 354L, 354L, 357L, 358L, 359L, 364L, 366L, 377L,...

...213L, 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...

...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, 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, 163...

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

...9.7100", "2,479.7100", "2,479.7100", "2,479.7100", "2,479.7100", "2,479.7100")), .Names = c("DESCRIPTION", "CREATED.DATE", "QUANITY", "CLOSING.PRICE"), class = "data.frame", row.names = c(NA, -160L )) As I can't change anything on the Excel side, how can I remove these blanks on the R side?? TY for help.

...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, 135L, 152L, 135L, 164L, 191L, 183L, 81L, 94L, 74L, 90L, 77L, 62L, 57L, 74L, 71L, 71L, 77L, 72L, 63L, 77L, 83L, 63L, 68L, 83L, 71L, 81L, 73L, 70L, 81L, 91L, 91L, 78L, 93L, 75L, 71L, 64L, 62L, 51L, 56L, 47L, 51L, 93L, 66L, 74L, 67L, 70L, 66L, 71L, 60L, 71L, 79L, 73L, 96L, 81L, 89L,...

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

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