Not a member of Pastebin yet?
Sign Up,
it unlocks many cool features!
- > str(y)
- 'data.frame': 77 obs. of 8 variables:
- $ a : Factor w/ 66 levels ...
- $ b: Factor w/ 16 levels ...
- $ totalPaid.m : num NA NA NA NA NA ...
- $ totalPaid.s : num NA NA NA NA NA ...
- $ totalPaid.c : num 1357 1 1 1 1 ...
- $ c.m : num NA 0 1.17 0 21.43 ...
- $ c.s : num NA NA NA NA NA ...
- $ c.c : num 1357 1 1 1 1 ...
- > order(y$totalPaid.m)
- [1] 66 68 21 24 12 71 51 60 46 39 74 76 9 44 63 77 26 75 58 73 47 57 65 30 11 72 42 15 18 70 48 27 35 16 32 61 29 43 55 33 40 59 23 13 67 56 31 19 45 50 25 38 52 62 37 36 10 14
- [59] 22 69 28 49 54 53 64 1 2 3 4 5 6 7 8 17 20 34 41
- > y[order(y$totalPaid.m)]
- Error in `[.data.frame`(y, order(y$totalPaid.m)) :
- undefined columns selected
- y[order(y$totalPaid.m), ]
- a <- rnorm(10,10,1000)
- b <- rnorm(10,-10,10)
- c <- rnorm(10,100,5)
- dat <- data.frame(a,b,c)
- dat
- a b c
- 1 18.88251 4.1280241 100.61576
- 2 716.73542 -2.2301466 97.93047
- 3 -1235.55314 -11.5865178 98.20612
- 4 -320.97346 -2.0478518 105.74852
- 5 862.63454 -14.6095826 97.58298
- 6 361.91272 -0.9127309 91.44080
- 7 -616.91762 -9.0358181 98.78145
- 8 -411.13981 -22.6804911 95.42187
- 9 299.97119 -14.4090133 97.60401
- 10 -966.91953 -15.3730726 100.68891
- dat[1, 1]
- # [1] 18.88251
- dat[10, 3]
- # [1] 100.6889
- dat[5, 2]
- # [1] -14.60958
- dat[ ,1]
- # [1] 18.88251 716.73542 -1235.55314 -320.97346 862.63454 361.91272
- # [7] -616.91762 -411.13981 299.97119 -966.91953
- dat[1, ]
- # a b c
- # 1 18.88251 4.128024 100.6158
- min(dat[,1])
- # [1] -1235.553
- min(dat[1,])
- # [1] 4.128024
- y[order(y$totalPaid.m), ]
- y[, order(y$totalPaid.m)]
- order(dat$b)
- # [1] 8 10 5 9 3 7 2 4 6 1
Add Comment
Please, Sign In to add comment