search for: 139l

...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 prefer tha...

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

...02L, 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, 104L, 125L, 128L, 227L, 292L, 430L, 206L, 360L,? 491L, 191L, 142L, 181L, 318L, 484L, 145L, 89L, 233L, 368L, 412L,? 335L, 215L, 146L, 139L, 426L, 375L, 66L, 299L, 438L, 223L, 175L,? 92L, 225L, 276L, 185L, 336L, 371L, 306L, 366L, 319L, 203L, 44L,? 259L, 23L, 132L, 343L, 447L, 457L, 428L, 359L, 353L, 498L, 169L,? 46L, 29L, 444L, 194L, 439L, 284L, 79L, 226L, 105L, 106L, 326L,? 234L, 196L, 417L, 190L, 480L, 275L, 478L, 341L, 197L, 395L, 8...

...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, 142L, 115L, 135L, 143L, 164L, 158L, 111L, 119L...

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

I have data in a file named hands.dat, which is given at the end of this question. (It's from a stats textbook example on anova). I'd like to do an aov on this, which I guess would be d <- read.table("~/hands.dat", header=TRUE) aov(Bacterial.Counts ~ Water + Soap + Antibacterial.Soap + Alcohol.Spray, data=d) but this fails. Do I need to break d$Method up into columns for

...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, 224L, 259L, 176L, 175L, 147L, 197L, 141L, 176L, 187L, 87L, 92L, 148L, 86L, 139L, 122L), country = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1...

...158281, 0.025279846, 0.007219305, 0.001003151, 0.000158275, 0.040812627, 0.015218595, 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, -0.6993939...

...2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2)), .Names = c("Alter", "Arthrose", "Gruppe" ), row.names = c(6L, 8L, 49L, 53L, 54L, 84L, 87L, 88L, 110L, 139L, 145L, 156L, 167L, 176L, 177L, 178L, 189L, 193L, 216L, 237L, 245L, 269L, 272L, 280L, 303L, 314L, 315L, 326L, 338L, 344L, 345L, 352L, 365L, 366L, 377L, 393L, 401L, 404L, 409L, 439L, 469L, 505L,...

...L, 503L, 10L, 2L, 511L, 7L, 513L, 5L, 8L, 492L, 151L, 126L, 153L, 174L, 179L, 203L, 182L, 132L, 131L, 115L, 149L, 169L, 177L, 171L, 193L, 223L, 243L, 284L, 271L, 282L, 303L, 380L, 442L, 433L, 379L, 463L, 454L, 69L, 80L, 77L, 87L, 101L, 139L, 132L, 138L, 75L, 66L, 83L, 110L, 135L, 136L, 137L, 139L, 94L, 481L, 476L, 509L, 57L, 509L, 500L, 249L, 307L, 279L, 262L, 281L, 181L, 223L, 232L, 218L, 252L, 301L, 328L, 363L, 422L, 485L, 11L, 37L, 24L, 23L, 35L, 50L, 40L, 41L, 44L, 53...

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

...???????????????????????????????????????????????????????????303L, >380L, 442L, 433L, 379L, 463L, 454L, 69L, 80L, 77L,? > >???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????87L, >101L, 139L, 132L, 138L, 75L, 66L, 83L, 110L, 135L, 136L,? > >???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????137L, >139L, 94L, 481L, 476L, 509L, 57L, 509L, 500L, 249L,? > >????????????????...

...156L, 170L, 184L, 198L, 212L, 226L, 240L, 254L, 268L, 282L, 296L, 310L, 324L, 338L, 352L, 366L, 380L, 394L, 408L, 422L, 436L, 450L, 464L, 478L, 492L, 506L, 520L, 534L, 548L, 562L, 576L, 590L, 604L, 618L, 632L, 646L, 660L, 674L, 688L, 702L, 716L, 730L, 14L, 28L, 42L, 56L, 70L, 84L, 98L, 112L, 125L, 139L, 153L, 167L, 181L, 195L, 209L, 223L, 237L, 251L, 265L, 279L, 293L, 307L, 321L, 335L, 349L, 363L, 377L, 391L, 405L, 419L, 433L, 447L, 461L, 475L, 489L, 503L, 517L, 531L, 545L, 559L, 573L, 587L, 601L, 615L, 629L, 643L, 657L, 671L, 685L, 699L, 713L, 727L, 11L, 25L, 39L, 53L, 67L, 81L, 95L, 109L, 123L,...

...???????????????????????????????????????????????????????????????????????????303L, 380L, 442L, 433L, 379L, 463L, 454L, 69L, 80L, 77L,? ???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????87L, 101L, 139L, 132L, 138L, 75L, 66L, 83L, 110L, 135L, 136L,? ???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????137L, 139L, 94L, 481L, 476L, 509L, 57L, 509L, 500L, 249L,? ????????????????????????????????????...

...98L, 212L, 226L, 240L, 254L, 268L, 282L, 296L, 310L, 324L, > 338L, 352L, 366L, 380L, 394L, 408L, 422L, 436L, 450L, 464L, 478L, > 492L, 506L, 520L, 534L, 548L, 562L, 576L, 590L, 604L, 618L, 632L, > 646L, 660L, 674L, 688L, 702L, 716L, 730L, 14L, 28L, 42L, 56L, > 70L, 84L, 98L, 112L, 125L, 139L, 153L, 167L, 181L, 195L, 209L, > 223L, 237L, 251L, 265L, 279L, 293L, 307L, 321L, 335L, 349L, 363L, > 377L, 391L, 405L, 419L, 433L, 447L, 461L, 475L, 489L, 503L, 517L, > 531L, 545L, 559L, 573L, 587L, 601L, 615L, 629L, 643L, 657L, 671L, > 685L, 699L, 713L, 727L, 11L, 25L, 39L, 53L, 67L, 8...

...L, 254L, 268L, 282L, 296L, 310L, 324L, > > 338L, 352L, 366L, 380L, 394L, 408L, 422L, 436L, 450L, 464L, 478L, > > 492L, 506L, 520L, 534L, 548L, 562L, 576L, 590L, 604L, 618L, 632L, > > 646L, 660L, 674L, 688L, 702L, 716L, 730L, 14L, 28L, 42L, 56L, > > 70L, 84L, 98L, 112L, 125L, 139L, 153L, 167L, 181L, 195L, 209L, > > 223L, 237L, 251L, 265L, 279L, 293L, 307L, 321L, 335L, 349L, 363L, > > 377L, 391L, 405L, 419L, 433L, 447L, 461L, 475L, 489L, 503L, 517L, > > 531L, 545L, 559L, 573L, 587L, 601L, 615L, 629L, 643L, 657L, 671L, > > 685L, 699L, 713L, 727L, 11L, 2...

..., 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 63L, 64L, 65L, 66L, 67L, 68L, 69L, 70L, 71L, 72L, 73L, 74L, 75L, 76L, 77L, 95L, 96L, 97L, 98L, 99L, 100L, 101L, 102L, 103L, 104L, 105L, 106L, 107L, 108L, 109L, 110L, 127L, 128L, 129L, 130L, 131L, 132L, 133L, 134L, 135L, 136L, 137L, 138L, 139L, 140L, 141L, 159L, 160L, 161L, 162L, 163L, 164L, 165L, 166L, 167L, 168L, 169L, 170L, 171L, 172L, 173L, 174L ), class = c("nfnGroupedData", "nfGroupedData", "groupedData", "data.frame"), formula = Prop ~ end | temp, FUN = function (x) max(x, na.rm = TRUE), ord...

... and the mailing list is picky about attachments... whatever you attached did not conform to the stringent requirements mentioned in the Posting Guide. Pasting the code right into the email is usually safest, though you DO have to post using plain text (as the Posting Guide indicates) or your code may get mangled by the automatic html format removal. On May 15, 2018 7:04:31 AM PDT, Bert Gunter

Unless there is good reason not to, always cc the list -- there are lots of smarter folks than I on it who can help. I may or may not have time to look at this. Hopefully someone else will. -- Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip

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