search for: 130l

...5L, 89L, 89L, 89L, 89L, 95L, 95L, 95L, 95L, 89L, 89L, 89L, 89L, 95L, 95L, 95L, 95L, 108L, 108L, 108L, 108L, 114L, 114L, 114L, 114L, 108L, 108L, 108L, 108L, 114L, 114L, 114L, 114L, 108L, 108L, 108L, 108L, 114L, 114L, 114L, 114L, 108L, 108L, 108L, 108L, 114L, 114L, 114L, 114L, 124L, 124L, 124L, 124L, 130L, 130L, 130L, 130L, 3L, 3L, 3L, 3L, 9L, 9L, 9L, 9L, 124L, 124L, 124L, 124L, 130L, 130L, 130L, 130L, 124L, 124L, 124L, 124L, 130L, 130L, 130L, 130L, 124L, 124L, 124L, 124L, 130L, 130L, 130L, 130L, 3L, 3L, 3L, 3L, 9L, 9L, 9L, 9L, 19L, 19L, 19L, 19L, 25L, 25L, 25L, 25L, 19L, 19L, 19L, 19L, 25L, 25L, 25...

...0563120, 1210564980, 1210572600, 1210585620, 1210595520, 1210602840, 1210613820, 1210618200, 1210633260, 1210640940, 1210650240, 1210663560, 1210677660, 1210686960, 1210695240, 1210705380), class = c("POSIXct", "POSIXt"), tzone = ""), Score = c(80L, 11L, 81L, 152L, 130L, 122L, 142L, 20L, 1L, 31L, 93L, 136L, 128L, 112L, 48L, 57L, 92L, 108L, 100L, 107L, 81L, 37L, 47L, 70L, 114L, 125L, 99L, 46L, 108L, 106L, 111L, 75L, 75L, 136L, 36L, 13L, 35L, 71L, 105L, 113L, 116L, 116L, 94L, 130L, 102L, 19L, 1L, 33L, 78L, 89L, 115L, 130L, 117L, 105L, 0L, 36L, 80L, 130L, 124L, 1...

...quot;factor"), 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 on...

...10061520, 1210074480, 1210081200, 1210089300, 1210095960, 1210104120, 1210110900, 1210110900, 1210118400, 1210126980, 1210134180, 1210142640, 1210156080, 1210164180, 1210176840, 1210183740), class = c("POSIXct", "POSIXt"), tzone = ""), Score = c(80L, 11L, 81L, 152L, 130L, 122L, 142L, 20L, 1L, 31L, 93L, 136L, 128L, 112L, 48L, 57L, 92L, 108L, 100L, 107L, 81L, 37L, 47L, 70L, 114L, 125L, 99L, 46L, 108L, 106L, 111L, 75L, 75L, 136L, 36L, 13L, 35L, 71L, 105L, 113L, 116L, 116L, 94L, 130L, 102L, 19L, 1L, 33L, 78L, 89L)), .Names = c("Date", "Score"),...

Hola!! Estoy intentando ejecutar un script com horas, al principio ejecute estos comandos DBx$Date<-strptime(DBx$Date, "%d-%m-%Y") ###Monicap use ; other use Y DBx$Year<-as.POSIXlt(DBx$Date)$year+1900 if(filename!="monicap_50.csv") {DBx$Time<-paste(DBx$Time, ":00", sep="")} Pero me daba el error de que mi base de datos tenia las

...), min = c(0L, 0L, 0L, 0L, 0L, >> 0L), hour = c(0L, 0L, 0L, 0L, 0L, 0L), mday = c(11L, >> 11L, 11L, 11L, 11L, 11L), mon = c(4L, 4L, 4L, 4L, 4L, >> 4L), year = c(109L, 109L, 109L, 109L, 109L, 109L), wday = c(1L, >> 1L, 1L, 1L, 1L, 1L), yday = c(130L, 130L, 130L, 130L, >> 130L, 130L), isdst = c(1L, 1L, 1L, 1L, 1L, 1L), zone = c("AZOST", >> "AZOST", "AZOST", "AZOST", "AZOST", "AZOST"), gmtoff = >> c(NA_integer_, >> NA_integer_, NA_integer_...

...102L, -109L, -101L, -101L, -74L, -78L, -63L, -67L, -75L, -65L, -60L, -62L, -67L, -59L, -62L, -68L, -61L, -58L, -69L, -57L, -59L, -67L, -73L, -81L, -90L, -87L, -82L, -80L, -80L, -81L, -83L, -90L, -89L, -107L, -122L, -128L, -113L, -124L, -93L, -89L, -92L, -85L, -79L, -84L, -83L, -148L, -142L, -127L, -130L, -123L, -131L, -85L, -87L, -90L, -81L, -65L, -81L, -119L, -121L, -94L, -90L, -117L, -95L, -69L, -122L, -103L, -85L, -106L)), .Names = c("mine", "dCu65", "dD"), class = "data.frame", row.names = c(NA, -130L))

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

...156L, 365L, 322L, 397L, 88L, 207L, 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, 3...

...07218929, 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, -0.699393955, -2.327819799, 1.081391412, 1.312482037, -1.237538376, -2.908572705, -1.431192482, 0.849643836, -0.164898186, -2.41690919,...

...quot;, "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....

...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, 85L, 86L, 87L, 84L, 82L, 83L, 81L, 79L, 80L, 76L, 77...

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

...230L, 116L, 151L, 164L, 146L, 167L, 172L, 143L, 149L, 168L, 224L, 252L, 279L, 293L, 321L, 372L, 360L, 367L, 411L, 418L, 429L, 425L, 368L, 132L, 112L, 96L, 103L, 95L, 80L, 90L, 81L, 68L, 62L, 56L, 500L, 478L, 500L, 83L, 94L, 97L, 118L, 130L, 145L, 157L, 161L, 165L, 179L, 180L, 318L, 318L, 287L, 173L, 233L, 200L, 179L, 181L, 184L, 162L, 163L, 171L, 195L, 220L, 232L, 248L, 281L, 316L, 314L, 314L, 342L, 339L, 239L, 266L, 246L, 194L, 195L, 157L, 119L, 148L, 163L, 146L, 167L,...

...1418L, 599L, 1527L, 1076L, 2084L, 1797L, 1142L, 1210L, 1480L, 720L, 1561L, 873L, 1855L, 1241L, 824L, 1025L, 1340L, 769L, 1353L, 1518L, 931L, 1200L, 1132L, 871L, 965L, 807L, 1434L, 1294L, 834L, 628L, 731L, 913L, 879L, 1344L, 1233L, 1538L, 1155L, 507L, 415L, 620L, 183L, 793L, 1269L, 1457L, 394L, 130L, 1949L, 706L, 1262L, 939L, 822L, 1067L, 914L, 454L, 1710L, 1510L, 901L, 1370L, 1253L, 892L, 226L, 1048L, 899L, 1231L, 1424L, 1415L, 762L, 1536L, 1219L, 1132L, 1314L, 147L, 119L, 120L, 153L, 91L, 335L, 1929L, 1064L, 1012L, 1149L), Letters = c(3746L, 3640L, 4295L, 4968L, 3202L, 777L, 3941L, 4769L...

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

Man, R has a steep learning curve (but I suppose you all know this). I have very little programming knowledge, so when I search for answers to my questions, I struggle with making sense of a lot of the pages. I have a spreadsheet that I've read into R using read.csv. I've also attached it. It looks like this (except there are 1600+ entries): > Sunday SunDate SunTime

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

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

...???????????????????????????????????????????????????????????????90L, >81L, 68L, 62L, 56L, 500L, 478L, 500L, 83L, 94L, 97L,? > >???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????118L, >130L, 145L, 157L, 161L, 165L, 179L, 180L, 318L, 318L,? > >???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????287L, >173L, 233L, 200L, 179L, 181L, 184L, 162L, 163L, 171L,? > >???????????...