search for: 101l

...2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c("Fri", "Mon", "Thu", "Tue", "Wed"), class = "factor"), SITE = c(101L, 101L, 102L, 102L, 103L, 103L, 104L, 104L, 101L, 101L, 102L, 102L, 103L, 103L, 104L, 104L, 101L, 101L, 102L, 102L, 103L, 103L, 104L, 104L, 101L, 101L, 102L, 102L, 103L, 103L, 104L, 104L, 101L, 101L, 102L, 102L, 103L, 103L, 104L, 104L), TOD = structure(c(1L, 2L, 1L, 2L, 1L, 2L, 1L,...

...] [,2] [,3] [1,] 7 6 8 [2,] 4 2 4 [3,] 4 7 2 [4,] 0 3 8 a1 <- structure(c(7, 4, 4, 0, 6, 2, 7, 3, 8, 4, 2, 8), .Dim = c(4L, 3L)) > a2 [,1] [,2] [,3] [1,] 101 102 103 [2,] 101 102 103 [3,] 101 102 103 [4,] 101 102 103 a2 <- structure(c(101L, 101L, 101L, 101L, 102L, 102L, 102L, 102L, 103L, 103L, 103L, 103L), .Dim = c(4L, 3L)) ------ I want to get a3: > a3 [,1] [,2] [,3] [1,] 102 101 103 [2,] 102 101 103 [3,] 103 101 102 [4,] 101 102 103 where the rows of a3 are the rows of a2 sorted according to the rows of a1....

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

...2, 3, 4, 5), Y = c(1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5), V1 = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 45L, 131L, 0L, 0L, 34L, 481L, 1744L), V2 = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 88L, 0L, 70L, 101L, 13L, 634L, 0L, 0L, 71L, 640L, 1636L), V3 = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 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,...

...L, -74L, -82L, -79L, -72L, -74L, -71L, -76L, -72L, -76L, -73L, -75L, -78L, -81L, -77L, -77L, -73L, -79L, -104L, -98L, -98L, -109L, -106L, -99L, -107L, -100L, -98L, -95L, -95L, -95L, -97L, -98L, -121L, -119L, -118L, -121L, -121L, -106L, -116L, -122L, -112L, -125L, -109L, -114L, -118L, -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...

Dear XpeRts, I prepared a no qoute Character string by the following command s<-noquote(paste (b1, collapse=",")) where, b1 is the vector of 24 intergers. > dput(b1) c(1L, 2L, 6L, 7L, 12L, 16L, 17L, 20L, 21L, 23L, 25L, 34L, 46L, 48L, 58L, 64L, 65L, 68L, 82L, 97L, 98L, 101L, 113L, 115L) > dput(s) structure("1,2,6,7,12,16,17,20,21,23,25,34,46,48,58,64,65,68,82,97,98,101,113,115", class = "noquote") I want to use "s" in the following command matb1<-res[,c(s))] The objective is to call those columns of matrix "res", who...

...1L, 42L, 43L, 44L, 45L, 46L, 47L, 48L, 49L, 50L, 51L, 52L, 53L, 54L, 55L, 56L, 57L, 58L, 59L, 60L, 61L, 62L, 63L, 64L, 65L, 66L, 67L, 68L, 69L, 70L, 71L, 72L, 73L, 74L, 75L, 76L, 77L, 78L, 79L, 80L, 81L, 82L, 83L, 84L, 85L, 86L, 87L, 88L, 89L, 90L, 91L, 92L, 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,...

...5L, 84L, 96L, 109L, 17L, 29L, 41L, 3L, 74L, 94L, 102L, 30L, 8L, 46L, 69L, 107L, 15L, 25L, 39L, 1L, 71L, 95L, 19L, 56L, 62L, 76L, 85L, 99L, 111L, 42L, 4L, 52L, 61L, 67L, 91L, 13L, 24L, 36L, 38L, 7L, 81L, 82L, 57L, 64L, 100L, 113L, 21L, 33L, 44L, 78L, 54L, 73L, 83L, 108L, 16L, 28L, 2L, 58L, 65L, 86L, 101L, 32L, 43L, 77L, 93L, 104L, 10L, 48L, 53L, 97L, 110L, 18L, 27L, 75L, 92L, 103L, 31L, 9L, 47L, 70L, 72L, 106L, 14L, 26L, 40L, 79L, 98L, 112L, 68L, 88L, 105L, 20L, 11L, 49L, 63L, 5L, 80L, 50L, 59L, 89L, 114L, 22L, 34L, 45L), .Label = c("1/14/08 12:26", "1/15/08 15:25", "1/15/0...

...3L, 3L, 3L), .Label = c("Price", "Yield", "CDS Spread"), class = "factor"), value = c(86.777, 86.037, 86.437, 9.737, 9.542, 9.683, 580.132, 576.866, 573.564)), .Names = c("Date", "variable", "value" ), row.names = c(100L, 101L, 102L, 202L, 203L, 204L, 304L, 305L, 306L), class = "data.frame") > g Date variable value 100 2011-12-23 Price 86.8 101 2011-12-30 Price 86.0 102 2012-01-06 Price 86.4 202 2011-12-23 Yield 9.7 203 2011-12-30 Yield 9.5 204 2012-01-06 Yie...

..."age", "y"), row.names = c(1L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 44L, 45L, 46L, 47L, 48L, 49L, 50L, 51L, 52L, 53L, 77L, 78L, 79L, 80L, 81L, 82L, 83L, 84L, 85L, 86L, 87L, 88L, 89L, 90L, 91L, 92L, 93L, 94L, 95L, 96L, 97L, 98L, 99L, 100L, 101L, 102L, 103L, 104L, 105L, 106L, 107L, 108L, 109L), class = "data.frame") library(nlme) grpdat = groupedData(y ~ age | ptno, data = tmpdat, FUN = mean, labels = list(x="Age", y="Y")) fit.lme = l...

...1L, 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, 124L, 66L, 75L, 57L, 94L, 124L, 165L, 170L, 158L, 127L, 116L, 107L, 118L, 150L, 96L, 101L, 59L, 38L, 46L, 77L, 83L, 54L, 61L, 60L, 55L, 110L, 127L, 129L, 87L, 61L, 70L, 85L, 110L, 131L, 151L, 123L, 50L, 77L, 100L, 135L, 151L)), .Names = c("Date", "Score" ), row.names = c(NA, 100L), class = "data.frame") I am trying to write code that will check to see if...

..., 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, 361L, 330L, 279L, 362L,? 310L, 487L, 278L, 367L, 248L, 462L, 59L, 213L, 68L, 112L, 60L,? 481L, 165L, 235L, 22L, 434L, 272L, 460L, 309L, 301L, 500L,...

All, What would be the most efficient way to load the data at the following address into a dataframe? http://ratings.fide.com/top.phtml?list=men Thanks, David -- View this message in context: http://r.789695.n4.nabble.com/Loading-Chess-Data-tp4642006.html Sent from the R help mailing list archive at Nabble.com.

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 <-

Folks, I have a data frame with columns 200401, 200402, ..., 201207, 201208. These represent years/months. What would be the best way to sum these columns by year? What about by quarter? Thanks for your time, KW -- [[alternative HTML version deleted]]

...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, 36L), .Label = c(&quot...

...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, 70L, 71L, 69L, 67L, 68L, 66L, 64L, 65L, 61L, 62L, 63L, 60L, 58L, 59L, 55L, 56L, 57L, 54L, 52L, 53L, 51L, 49L, 50L, 46L, 48L, 47L, 43L, 45L, 44L, 40L, 42L, 41L...

...L, 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) # per groups (P1, S1, S8, R6) dotchart(ZZ$N, cex=.7, groups= ZZ$f, xl...

...ctor"), SILIKATG = c(0.0152, 0.0161, 0.0141, 0.0131, 0.0108, 0, 0, 0, 0, 1e-04, 0.0056, 0.0078, 0.0072, 0.0047, 0.0091, 3e-04, 5e-04, 0, 0.0013, 0.0012)), .Names = c("DIET", "SILIKATG"), row.names = c(1L, 2L, 3L, 4L, 5L, 31L, 32L, 33L, 34L, 35L, 61L, 62L, 63L, 64L, 65L, 101L, 102L, 103L, 104L, 105L), class = "data.frame") 1. The first plot I want to do is: plot(test$SILIKATG, ylim=c(0,0.02), type="l") It looks the way I want to, but my question is:* How to change the labels on the x-axis? I would like to have the groups ("G", "GG&...

Hi there, I have a huge data set with multiple firms years and other firm characteristics. I want to run a regression on the dependent variable and other explanatory variables and calculate the residual terms by grouping the firms in same year and same industry. What I want to do is to divide my obseravtion into sub sample that contains the observation with same fiscal year(FYEAR=1990) and same