search for: 140l

...d. Thanks very much for the help. david freedman, atlanta ds=data.frame(list(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...

...9;t seem to get the data to match the axis anymore. I must be using the axis.break() in plotrix incorrectly, but I cannot see where my issue is. This is what I have so far. ###### library(plotrix) par(mar=c(6,8,4,4)) ###Data Saline <- structure(list(Time = c(-20L, 0, 30L, 45L, 60L, 80L, 110L,140L,200L, 260L, 320L), Average = c(119.250,118.750,117.500,132.75,151.875,159.75,142.75,160,168,167.125,143),SEM=c(2.211,2.569,2.665,5.435146394,6.208741369,8.363550657,8.51349469,14.30284687,15.93865792,16.76541326,13.796)), .Names = c("Time (min)", "Arterial Plasma Glucose (?g/mL)&quo...

..., 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, 13L, 22L, 24L, 55L, 44L, 92L, 59L, 111L, 10L, 58L,...

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

...uot;, "BF", "BF", "MH", "IW", "OR", "OR", "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, 4...

...07L, 150L, 209L, 184L, 378L, 217L,? 176L, 52L, 374L, 189L, 97L, 340L, 357L, 157L, 220L, 74L, 356L,? 495L, 453L, 26L, 499L, 364L, 267L, 331L, 245L, 258L, 242L, 381L,? 36L, 16L, 328L, 131L, 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, 32...

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   

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

..."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, 0.0523, 0.0768,...

...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, 110L, 111L, 106L, 108L, 107L, 105L, 103L, 104L, 102L, 100L, 101L, 99L, 97L, 98L, 94L, 96L, 95L, 93L, 91L, 92L, 90L, 88L, 89L...

..., 200, 300, 400, 500, 600)); abline(h = c(100, 200, 300, 400, 500, 600), lty=2); mtext("Usage over a 24 hour period",side=3); dev.off(); Contents of str structure: str <- structure(list(timeofday = 1:23, connections = c(116L, 87L, 51L, 44L, 75L, 147L, 264L, 275L, 233L, 294L, 132L, 140L, 198L, 171L, 248L, 226L, 257L, 246L, 210L, 189L, 180L, 238L, 303L)), .Names = c("timeofday", "connections"), row.names = c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", &q...

..."")), .Names = c("oplt", "tree", "bd1", "bd2", "bda", "ht", "spr", "stat", "dam", "com" ), row.names = c(34L, 462L, 724L, 227L, 228L, 673L, 76L, 123L, 368L, 632L, 281L, 391L, 495L, 199L, 140L, 528L, 604L, 191L, 358L, 689L), class = "data.frame") # dput(ban.nat.1996[sample(row.names(ban.nat.1996), 20),]) bn96 <- structure(list(oplt = c(23L, 33L, 22L, 19L, 27L, 3L, 27L, 19L, 48L, 31L, 54L, 37L, 42L, 45L, 51L, 51L, 27L, 44L, 22L, 33L), tree = c(616L, 709L, 426L, 233L,...

...36L, 82L, 222L, 149L, 171L, 145L, 122L, 192L, 136L, 164L, 154L, 46L, 57L, 57L, 70L, 55L, 102L, 111L, 152L, 204L, 41L, 46L, 103L, 156L, 148L, 155L, 103L, 124L, 176L, 111L, 142L, 187L, 43L, 52L, 75L, 64L, 91L, 78L, 196L, 314L, 265L, 44L, 39L, 98L, 197L, 273L, 274L, 89L, 91L, 74L, 91L, 112L, 98L, 140L, 90L, 121L, 120L, 161L, 83L, 230L, 266L, 282L, 35L, 53L, 57L, 315L, 332L, 202L, 90L, 79L, 89L, 67L, 116L, 109L, 44L, 68L, 75L, 29L, 52L, 52L, 253L, 203L, 87L, 105L, 234L, 152L, 247L, 243L, 144L, 167L, 165L, 95L, 300L, 128L, 125L, 84L, 183L, 88L, 153L, 185L, 175L, 226L, 216L, 118L, 118L, 94L, 22...

...t 3", "Bank Current 3", "Bank Current 3", "Bank Savings 3", "Bank Savings 3", "Bank Savings 3", "Bank Savings 3", "Bank Savings 3")), class = c("tbl_df", "tbl", "data.frame"), row.names = c(NA, -140L)) On Thu, 29 Jun 2023 at 21:11, John Kane <jrkrideau at gmail.com> wrote: > Anupa, > > I think your best bet with your data would be to tidy it up in Excel, > read it into R using something like the readxl package and then supply > some sample data is the dput() function...

...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, 142L, 115L, 135L, 143L, 164L, 158L, 111L, 119L, 131L, 120L, 160L, 141L, 161L, 123L, 135L, 152L, 135L, 164L, 191L...

...t;Bank Current 3", "Bank Current 3", > "Bank Savings 3", "Bank Savings 3", "Bank Savings 3", "Bank Savings 3", > "Bank Savings 3")), class = c("tbl_df", "tbl", "data.frame"), row.names = c(NA, > -140L)) > > > > > On Thu, 29 Jun 2023 at 21:11, John Kane <jrkrideau at gmail.com> wrote: > >> Anupa, >> >> I think your best bet with your data would be to tidy it up in Excel, >> read it into R using something like the readxl package and then supply &gt...

...3", "Bank Current 3", > > "Bank Savings 3", "Bank Savings 3", "Bank Savings 3", "Bank Savings 3", > > "Bank Savings 3")), class = c("tbl_df", "tbl", "data.frame"), row.names = c(NA, > > -140L)) > > > > > > > > > > On Thu, 29 Jun 2023 at 21:11, John Kane <jrkrideau at gmail.com> wrote: > > > >> Anupa, > >> > >> I think your best bet with your data would be to tidy it up in Excel, > >> read it into R using som...

Hello, I wrote this code which works fine on a single observation: x<-100 y<-200 z<-125 aa<-150 if(x<z && y>z) {aa-z} result: 25 I am trying to apply this logic where x,y,z,and aa are arrays but with very little success. I have tried using loops and whiles but I always get errors of various types. I have consulted a few manuals but with limited success. My hopeful

...quot;, "Bank Savings > > > 3", "Bank Savings 3", "Bank Savings 3", "Bank Savings 3", "Bank > > > Savings 3")), class = c("tbl_df", "tbl", "data.frame"), row.names = > > > c(NA, > > > -140L)) > > > > > > > > > > > > > > > On Thu, 29 Jun 2023 at 21:11, John Kane <jrkrideau at gmail.com> wrote: > > > > > >> Anupa, > > >> > > >> I think your best bet with your data would be to tidy it up in &...

...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, 124L,...