Below are the solutions to these exercises on dplyr.
Learn more about dplyr in Section 5 Using dplyr on one and multiple Datasets of the online course R Data Pre-Processing & Data Management – Shape your Data!
############### # # # Exercise 1 # # # ############### df=data.frame(Theoph) library(dplyr) ############### # # # Exercise 2 # # # ############### names(df)
## [1] "Subject" "Wt" "Dose" "Time" "conc"
############### # # # Exercise 3 # # # ############### select(df,Subject:Dose)
## Subject Wt Dose ## 1 1 79.6 4.02 ## 2 1 79.6 4.02 ## 3 1 79.6 4.02 ## 4 1 79.6 4.02 ## 5 1 79.6 4.02 ## 6 1 79.6 4.02 ## 7 1 79.6 4.02 ## 8 1 79.6 4.02 ## 9 1 79.6 4.02 ## 10 1 79.6 4.02 ## 11 1 79.6 4.02 ## 12 2 72.4 4.40 ## 13 2 72.4 4.40 ## 14 2 72.4 4.40 ## 15 2 72.4 4.40 ## 16 2 72.4 4.40 ## 17 2 72.4 4.40 ## 18 2 72.4 4.40 ## 19 2 72.4 4.40 ## 20 2 72.4 4.40 ## 21 2 72.4 4.40 ## 22 2 72.4 4.40 ## 23 3 70.5 4.53 ## 24 3 70.5 4.53 ## 25 3 70.5 4.53 ## 26 3 70.5 4.53 ## 27 3 70.5 4.53 ## 28 3 70.5 4.53 ## 29 3 70.5 4.53 ## 30 3 70.5 4.53 ## 31 3 70.5 4.53 ## 32 3 70.5 4.53 ## 33 3 70.5 4.53 ## 34 4 72.7 4.40 ## 35 4 72.7 4.40 ## 36 4 72.7 4.40 ## 37 4 72.7 4.40 ## 38 4 72.7 4.40 ## 39 4 72.7 4.40 ## 40 4 72.7 4.40 ## 41 4 72.7 4.40 ## 42 4 72.7 4.40 ## 43 4 72.7 4.40 ## 44 4 72.7 4.40 ## 45 5 54.6 5.86 ## 46 5 54.6 5.86 ## 47 5 54.6 5.86 ## 48 5 54.6 5.86 ## 49 5 54.6 5.86 ## 50 5 54.6 5.86 ## 51 5 54.6 5.86 ## 52 5 54.6 5.86 ## 53 5 54.6 5.86 ## 54 5 54.6 5.86 ## 55 5 54.6 5.86 ## 56 6 80.0 4.00 ## 57 6 80.0 4.00 ## 58 6 80.0 4.00 ## 59 6 80.0 4.00 ## 60 6 80.0 4.00 ## 61 6 80.0 4.00 ## 62 6 80.0 4.00 ## 63 6 80.0 4.00 ## 64 6 80.0 4.00 ## 65 6 80.0 4.00 ## 66 6 80.0 4.00 ## 67 7 64.6 4.95 ## 68 7 64.6 4.95 ## 69 7 64.6 4.95 ## 70 7 64.6 4.95 ## 71 7 64.6 4.95 ## 72 7 64.6 4.95 ## 73 7 64.6 4.95 ## 74 7 64.6 4.95 ## 75 7 64.6 4.95 ## 76 7 64.6 4.95 ## 77 7 64.6 4.95 ## 78 8 70.5 4.53 ## 79 8 70.5 4.53 ## 80 8 70.5 4.53 ## 81 8 70.5 4.53 ## 82 8 70.5 4.53 ## 83 8 70.5 4.53 ## 84 8 70.5 4.53 ## 85 8 70.5 4.53 ## 86 8 70.5 4.53 ## 87 8 70.5 4.53 ## 88 8 70.5 4.53 ## 89 9 86.4 3.10 ## 90 9 86.4 3.10 ## 91 9 86.4 3.10 ## 92 9 86.4 3.10 ## 93 9 86.4 3.10 ## 94 9 86.4 3.10 ## 95 9 86.4 3.10 ## 96 9 86.4 3.10 ## 97 9 86.4 3.10 ## 98 9 86.4 3.10 ## 99 9 86.4 3.10 ## 100 10 58.2 5.50 ## 101 10 58.2 5.50 ## 102 10 58.2 5.50 ## 103 10 58.2 5.50 ## 104 10 58.2 5.50 ## 105 10 58.2 5.50 ## 106 10 58.2 5.50 ## 107 10 58.2 5.50 ## 108 10 58.2 5.50 ## 109 10 58.2 5.50 ## 110 10 58.2 5.50 ## 111 11 65.0 4.92 ## 112 11 65.0 4.92 ## 113 11 65.0 4.92 ## 114 11 65.0 4.92 ## 115 11 65.0 4.92 ## 116 11 65.0 4.92 ## 117 11 65.0 4.92 ## 118 11 65.0 4.92 ## 119 11 65.0 4.92 ## 120 11 65.0 4.92 ## 121 11 65.0 4.92 ## 122 12 60.5 5.30 ## 123 12 60.5 5.30 ## 124 12 60.5 5.30 ## 125 12 60.5 5.30 ## 126 12 60.5 5.30 ## 127 12 60.5 5.30 ## 128 12 60.5 5.30 ## 129 12 60.5 5.30 ## 130 12 60.5 5.30 ## 131 12 60.5 5.30 ## 132 12 60.5 5.30
select(df,Subject,Weight)
## Error in eval(expr, envir, enclos): object 'Weight' not found
############### # # # Exercise 4 # # # ############### filter(df,Dose>5)
## Subject Wt Dose Time conc ## 1 5 54.6 5.86 0.00 0.00 ## 2 5 54.6 5.86 0.30 2.02 ## 3 5 54.6 5.86 0.52 5.63 ## 4 5 54.6 5.86 1.00 11.40 ## 5 5 54.6 5.86 2.02 9.33 ## 6 5 54.6 5.86 3.50 8.74 ## 7 5 54.6 5.86 5.02 7.56 ## 8 5 54.6 5.86 7.02 7.09 ## 9 5 54.6 5.86 9.10 5.90 ## 10 5 54.6 5.86 12.00 4.37 ## 11 5 54.6 5.86 24.35 1.57 ## 12 10 58.2 5.50 0.00 0.24 ## 13 10 58.2 5.50 0.37 2.89 ## 14 10 58.2 5.50 0.77 5.22 ## 15 10 58.2 5.50 1.02 6.41 ## 16 10 58.2 5.50 2.05 7.83 ## 17 10 58.2 5.50 3.55 10.21 ## 18 10 58.2 5.50 5.05 9.18 ## 19 10 58.2 5.50 7.08 8.02 ## 20 10 58.2 5.50 9.38 7.14 ## 21 10 58.2 5.50 12.10 5.68 ## 22 10 58.2 5.50 23.70 2.42 ## 23 12 60.5 5.30 0.00 0.00 ## 24 12 60.5 5.30 0.25 1.25 ## 25 12 60.5 5.30 0.50 3.96 ## 26 12 60.5 5.30 1.00 7.82 ## 27 12 60.5 5.30 2.00 9.72 ## 28 12 60.5 5.30 3.52 9.75 ## 29 12 60.5 5.30 5.07 8.57 ## 30 12 60.5 5.30 7.07 6.59 ## 31 12 60.5 5.30 9.03 6.11 ## 32 12 60.5 5.30 12.05 4.57 ## 33 12 60.5 5.30 24.15 1.17
############### # # # Exercise 5 # # # ############### filter(df,Dose>5 & Time>mean(Time))
## Subject Wt Dose Time conc ## 1 5 54.6 5.86 7.02 7.09 ## 2 5 54.6 5.86 9.10 5.90 ## 3 5 54.6 5.86 12.00 4.37 ## 4 5 54.6 5.86 24.35 1.57 ## 5 10 58.2 5.50 7.08 8.02 ## 6 10 58.2 5.50 9.38 7.14 ## 7 10 58.2 5.50 12.10 5.68 ## 8 10 58.2 5.50 23.70 2.42 ## 9 12 60.5 5.30 7.07 6.59 ## 10 12 60.5 5.30 9.03 6.11 ## 11 12 60.5 5.30 12.05 4.57 ## 12 12 60.5 5.30 24.15 1.17
############### # # # Exercise 6 # # # ############### arrange(df,desc(Wt))
## Subject Wt Dose Time conc ## 1 9 86.4 3.10 0.00 0.00 ## 2 9 86.4 3.10 0.30 7.37 ## 3 9 86.4 3.10 0.63 9.03 ## 4 9 86.4 3.10 1.05 7.14 ## 5 9 86.4 3.10 2.02 6.33 ## 6 9 86.4 3.10 3.53 5.66 ## 7 9 86.4 3.10 5.02 5.67 ## 8 9 86.4 3.10 7.17 4.24 ## 9 9 86.4 3.10 8.80 4.11 ## 10 9 86.4 3.10 11.60 3.16 ## 11 9 86.4 3.10 24.43 1.12 ## 12 6 80.0 4.00 0.00 0.00 ## 13 6 80.0 4.00 0.27 1.29 ## 14 6 80.0 4.00 0.58 3.08 ## 15 6 80.0 4.00 1.15 6.44 ## 16 6 80.0 4.00 2.03 6.32 ## 17 6 80.0 4.00 3.57 5.53 ## 18 6 80.0 4.00 5.00 4.94 ## 19 6 80.0 4.00 7.00 4.02 ## 20 6 80.0 4.00 9.22 3.46 ## 21 6 80.0 4.00 12.10 2.78 ## 22 6 80.0 4.00 23.85 0.92 ## 23 1 79.6 4.02 0.00 0.74 ## 24 1 79.6 4.02 0.25 2.84 ## 25 1 79.6 4.02 0.57 6.57 ## 26 1 79.6 4.02 1.12 10.50 ## 27 1 79.6 4.02 2.02 9.66 ## 28 1 79.6 4.02 3.82 8.58 ## 29 1 79.6 4.02 5.10 8.36 ## 30 1 79.6 4.02 7.03 7.47 ## 31 1 79.6 4.02 9.05 6.89 ## 32 1 79.6 4.02 12.12 5.94 ## 33 1 79.6 4.02 24.37 3.28 ## 34 4 72.7 4.40 0.00 0.00 ## 35 4 72.7 4.40 0.35 1.89 ## 36 4 72.7 4.40 0.60 4.60 ## 37 4 72.7 4.40 1.07 8.60 ## 38 4 72.7 4.40 2.13 8.38 ## 39 4 72.7 4.40 3.50 7.54 ## 40 4 72.7 4.40 5.02 6.88 ## 41 4 72.7 4.40 7.02 5.78 ## 42 4 72.7 4.40 9.02 5.33 ## 43 4 72.7 4.40 11.98 4.19 ## 44 4 72.7 4.40 24.65 1.15 ## 45 2 72.4 4.40 0.00 0.00 ## 46 2 72.4 4.40 0.27 1.72 ## 47 2 72.4 4.40 0.52 7.91 ## 48 2 72.4 4.40 1.00 8.31 ## 49 2 72.4 4.40 1.92 8.33 ## 50 2 72.4 4.40 3.50 6.85 ## 51 2 72.4 4.40 5.02 6.08 ## 52 2 72.4 4.40 7.03 5.40 ## 53 2 72.4 4.40 9.00 4.55 ## 54 2 72.4 4.40 12.00 3.01 ## 55 2 72.4 4.40 24.30 0.90 ## 56 3 70.5 4.53 0.00 0.00 ## 57 3 70.5 4.53 0.27 4.40 ## 58 3 70.5 4.53 0.58 6.90 ## 59 3 70.5 4.53 1.02 8.20 ## 60 3 70.5 4.53 2.02 7.80 ## 61 3 70.5 4.53 3.62 7.50 ## 62 3 70.5 4.53 5.08 6.20 ## 63 3 70.5 4.53 7.07 5.30 ## 64 3 70.5 4.53 9.00 4.90 ## 65 3 70.5 4.53 12.15 3.70 ## 66 3 70.5 4.53 24.17 1.05 ## 67 8 70.5 4.53 0.00 0.00 ## 68 8 70.5 4.53 0.25 3.05 ## 69 8 70.5 4.53 0.52 3.05 ## 70 8 70.5 4.53 0.98 7.31 ## 71 8 70.5 4.53 2.02 7.56 ## 72 8 70.5 4.53 3.53 6.59 ## 73 8 70.5 4.53 5.05 5.88 ## 74 8 70.5 4.53 7.15 4.73 ## 75 8 70.5 4.53 9.07 4.57 ## 76 8 70.5 4.53 12.10 3.00 ## 77 8 70.5 4.53 24.12 1.25 ## 78 11 65.0 4.92 0.00 0.00 ## 79 11 65.0 4.92 0.25 4.86 ## 80 11 65.0 4.92 0.50 7.24 ## 81 11 65.0 4.92 0.98 8.00 ## 82 11 65.0 4.92 1.98 6.81 ## 83 11 65.0 4.92 3.60 5.87 ## 84 11 65.0 4.92 5.02 5.22 ## 85 11 65.0 4.92 7.03 4.45 ## 86 11 65.0 4.92 9.03 3.62 ## 87 11 65.0 4.92 12.12 2.69 ## 88 11 65.0 4.92 24.08 0.86 ## 89 7 64.6 4.95 0.00 0.15 ## 90 7 64.6 4.95 0.25 0.85 ## 91 7 64.6 4.95 0.50 2.35 ## 92 7 64.6 4.95 1.02 5.02 ## 93 7 64.6 4.95 2.02 6.58 ## 94 7 64.6 4.95 3.48 7.09 ## 95 7 64.6 4.95 5.00 6.66 ## 96 7 64.6 4.95 6.98 5.25 ## 97 7 64.6 4.95 9.00 4.39 ## 98 7 64.6 4.95 12.05 3.53 ## 99 7 64.6 4.95 24.22 1.15 ## 100 12 60.5 5.30 0.00 0.00 ## 101 12 60.5 5.30 0.25 1.25 ## 102 12 60.5 5.30 0.50 3.96 ## 103 12 60.5 5.30 1.00 7.82 ## 104 12 60.5 5.30 2.00 9.72 ## 105 12 60.5 5.30 3.52 9.75 ## 106 12 60.5 5.30 5.07 8.57 ## 107 12 60.5 5.30 7.07 6.59 ## 108 12 60.5 5.30 9.03 6.11 ## 109 12 60.5 5.30 12.05 4.57 ## 110 12 60.5 5.30 24.15 1.17 ## 111 10 58.2 5.50 0.00 0.24 ## 112 10 58.2 5.50 0.37 2.89 ## 113 10 58.2 5.50 0.77 5.22 ## 114 10 58.2 5.50 1.02 6.41 ## 115 10 58.2 5.50 2.05 7.83 ## 116 10 58.2 5.50 3.55 10.21 ## 117 10 58.2 5.50 5.05 9.18 ## 118 10 58.2 5.50 7.08 8.02 ## 119 10 58.2 5.50 9.38 7.14 ## 120 10 58.2 5.50 12.10 5.68 ## 121 10 58.2 5.50 23.70 2.42 ## 122 5 54.6 5.86 0.00 0.00 ## 123 5 54.6 5.86 0.30 2.02 ## 124 5 54.6 5.86 0.52 5.63 ## 125 5 54.6 5.86 1.00 11.40 ## 126 5 54.6 5.86 2.02 9.33 ## 127 5 54.6 5.86 3.50 8.74 ## 128 5 54.6 5.86 5.02 7.56 ## 129 5 54.6 5.86 7.02 7.09 ## 130 5 54.6 5.86 9.10 5.90 ## 131 5 54.6 5.86 12.00 4.37 ## 132 5 54.6 5.86 24.35 1.57
arrange(df,Wt)
## Subject Wt Dose Time conc ## 1 5 54.6 5.86 0.00 0.00 ## 2 5 54.6 5.86 0.30 2.02 ## 3 5 54.6 5.86 0.52 5.63 ## 4 5 54.6 5.86 1.00 11.40 ## 5 5 54.6 5.86 2.02 9.33 ## 6 5 54.6 5.86 3.50 8.74 ## 7 5 54.6 5.86 5.02 7.56 ## 8 5 54.6 5.86 7.02 7.09 ## 9 5 54.6 5.86 9.10 5.90 ## 10 5 54.6 5.86 12.00 4.37 ## 11 5 54.6 5.86 24.35 1.57 ## 12 10 58.2 5.50 0.00 0.24 ## 13 10 58.2 5.50 0.37 2.89 ## 14 10 58.2 5.50 0.77 5.22 ## 15 10 58.2 5.50 1.02 6.41 ## 16 10 58.2 5.50 2.05 7.83 ## 17 10 58.2 5.50 3.55 10.21 ## 18 10 58.2 5.50 5.05 9.18 ## 19 10 58.2 5.50 7.08 8.02 ## 20 10 58.2 5.50 9.38 7.14 ## 21 10 58.2 5.50 12.10 5.68 ## 22 10 58.2 5.50 23.70 2.42 ## 23 12 60.5 5.30 0.00 0.00 ## 24 12 60.5 5.30 0.25 1.25 ## 25 12 60.5 5.30 0.50 3.96 ## 26 12 60.5 5.30 1.00 7.82 ## 27 12 60.5 5.30 2.00 9.72 ## 28 12 60.5 5.30 3.52 9.75 ## 29 12 60.5 5.30 5.07 8.57 ## 30 12 60.5 5.30 7.07 6.59 ## 31 12 60.5 5.30 9.03 6.11 ## 32 12 60.5 5.30 12.05 4.57 ## 33 12 60.5 5.30 24.15 1.17 ## 34 7 64.6 4.95 0.00 0.15 ## 35 7 64.6 4.95 0.25 0.85 ## 36 7 64.6 4.95 0.50 2.35 ## 37 7 64.6 4.95 1.02 5.02 ## 38 7 64.6 4.95 2.02 6.58 ## 39 7 64.6 4.95 3.48 7.09 ## 40 7 64.6 4.95 5.00 6.66 ## 41 7 64.6 4.95 6.98 5.25 ## 42 7 64.6 4.95 9.00 4.39 ## 43 7 64.6 4.95 12.05 3.53 ## 44 7 64.6 4.95 24.22 1.15 ## 45 11 65.0 4.92 0.00 0.00 ## 46 11 65.0 4.92 0.25 4.86 ## 47 11 65.0 4.92 0.50 7.24 ## 48 11 65.0 4.92 0.98 8.00 ## 49 11 65.0 4.92 1.98 6.81 ## 50 11 65.0 4.92 3.60 5.87 ## 51 11 65.0 4.92 5.02 5.22 ## 52 11 65.0 4.92 7.03 4.45 ## 53 11 65.0 4.92 9.03 3.62 ## 54 11 65.0 4.92 12.12 2.69 ## 55 11 65.0 4.92 24.08 0.86 ## 56 3 70.5 4.53 0.00 0.00 ## 57 3 70.5 4.53 0.27 4.40 ## 58 3 70.5 4.53 0.58 6.90 ## 59 3 70.5 4.53 1.02 8.20 ## 60 3 70.5 4.53 2.02 7.80 ## 61 3 70.5 4.53 3.62 7.50 ## 62 3 70.5 4.53 5.08 6.20 ## 63 3 70.5 4.53 7.07 5.30 ## 64 3 70.5 4.53 9.00 4.90 ## 65 3 70.5 4.53 12.15 3.70 ## 66 3 70.5 4.53 24.17 1.05 ## 67 8 70.5 4.53 0.00 0.00 ## 68 8 70.5 4.53 0.25 3.05 ## 69 8 70.5 4.53 0.52 3.05 ## 70 8 70.5 4.53 0.98 7.31 ## 71 8 70.5 4.53 2.02 7.56 ## 72 8 70.5 4.53 3.53 6.59 ## 73 8 70.5 4.53 5.05 5.88 ## 74 8 70.5 4.53 7.15 4.73 ## 75 8 70.5 4.53 9.07 4.57 ## 76 8 70.5 4.53 12.10 3.00 ## 77 8 70.5 4.53 24.12 1.25 ## 78 2 72.4 4.40 0.00 0.00 ## 79 2 72.4 4.40 0.27 1.72 ## 80 2 72.4 4.40 0.52 7.91 ## 81 2 72.4 4.40 1.00 8.31 ## 82 2 72.4 4.40 1.92 8.33 ## 83 2 72.4 4.40 3.50 6.85 ## 84 2 72.4 4.40 5.02 6.08 ## 85 2 72.4 4.40 7.03 5.40 ## 86 2 72.4 4.40 9.00 4.55 ## 87 2 72.4 4.40 12.00 3.01 ## 88 2 72.4 4.40 24.30 0.90 ## 89 4 72.7 4.40 0.00 0.00 ## 90 4 72.7 4.40 0.35 1.89 ## 91 4 72.7 4.40 0.60 4.60 ## 92 4 72.7 4.40 1.07 8.60 ## 93 4 72.7 4.40 2.13 8.38 ## 94 4 72.7 4.40 3.50 7.54 ## 95 4 72.7 4.40 5.02 6.88 ## 96 4 72.7 4.40 7.02 5.78 ## 97 4 72.7 4.40 9.02 5.33 ## 98 4 72.7 4.40 11.98 4.19 ## 99 4 72.7 4.40 24.65 1.15 ## 100 1 79.6 4.02 0.00 0.74 ## 101 1 79.6 4.02 0.25 2.84 ## 102 1 79.6 4.02 0.57 6.57 ## 103 1 79.6 4.02 1.12 10.50 ## 104 1 79.6 4.02 2.02 9.66 ## 105 1 79.6 4.02 3.82 8.58 ## 106 1 79.6 4.02 5.10 8.36 ## 107 1 79.6 4.02 7.03 7.47 ## 108 1 79.6 4.02 9.05 6.89 ## 109 1 79.6 4.02 12.12 5.94 ## 110 1 79.6 4.02 24.37 3.28 ## 111 6 80.0 4.00 0.00 0.00 ## 112 6 80.0 4.00 0.27 1.29 ## 113 6 80.0 4.00 0.58 3.08 ## 114 6 80.0 4.00 1.15 6.44 ## 115 6 80.0 4.00 2.03 6.32 ## 116 6 80.0 4.00 3.57 5.53 ## 117 6 80.0 4.00 5.00 4.94 ## 118 6 80.0 4.00 7.00 4.02 ## 119 6 80.0 4.00 9.22 3.46 ## 120 6 80.0 4.00 12.10 2.78 ## 121 6 80.0 4.00 23.85 0.92 ## 122 9 86.4 3.10 0.00 0.00 ## 123 9 86.4 3.10 0.30 7.37 ## 124 9 86.4 3.10 0.63 9.03 ## 125 9 86.4 3.10 1.05 7.14 ## 126 9 86.4 3.10 2.02 6.33 ## 127 9 86.4 3.10 3.53 5.66 ## 128 9 86.4 3.10 5.02 5.67 ## 129 9 86.4 3.10 7.17 4.24 ## 130 9 86.4 3.10 8.80 4.11 ## 131 9 86.4 3.10 11.60 3.16 ## 132 9 86.4 3.10 24.43 1.12
arrange(df,Wt,desc(Time))
## Subject Wt Dose Time conc ## 1 5 54.6 5.86 24.35 1.57 ## 2 5 54.6 5.86 12.00 4.37 ## 3 5 54.6 5.86 9.10 5.90 ## 4 5 54.6 5.86 7.02 7.09 ## 5 5 54.6 5.86 5.02 7.56 ## 6 5 54.6 5.86 3.50 8.74 ## 7 5 54.6 5.86 2.02 9.33 ## 8 5 54.6 5.86 1.00 11.40 ## 9 5 54.6 5.86 0.52 5.63 ## 10 5 54.6 5.86 0.30 2.02 ## 11 5 54.6 5.86 0.00 0.00 ## 12 10 58.2 5.50 23.70 2.42 ## 13 10 58.2 5.50 12.10 5.68 ## 14 10 58.2 5.50 9.38 7.14 ## 15 10 58.2 5.50 7.08 8.02 ## 16 10 58.2 5.50 5.05 9.18 ## 17 10 58.2 5.50 3.55 10.21 ## 18 10 58.2 5.50 2.05 7.83 ## 19 10 58.2 5.50 1.02 6.41 ## 20 10 58.2 5.50 0.77 5.22 ## 21 10 58.2 5.50 0.37 2.89 ## 22 10 58.2 5.50 0.00 0.24 ## 23 12 60.5 5.30 24.15 1.17 ## 24 12 60.5 5.30 12.05 4.57 ## 25 12 60.5 5.30 9.03 6.11 ## 26 12 60.5 5.30 7.07 6.59 ## 27 12 60.5 5.30 5.07 8.57 ## 28 12 60.5 5.30 3.52 9.75 ## 29 12 60.5 5.30 2.00 9.72 ## 30 12 60.5 5.30 1.00 7.82 ## 31 12 60.5 5.30 0.50 3.96 ## 32 12 60.5 5.30 0.25 1.25 ## 33 12 60.5 5.30 0.00 0.00 ## 34 7 64.6 4.95 24.22 1.15 ## 35 7 64.6 4.95 12.05 3.53 ## 36 7 64.6 4.95 9.00 4.39 ## 37 7 64.6 4.95 6.98 5.25 ## 38 7 64.6 4.95 5.00 6.66 ## 39 7 64.6 4.95 3.48 7.09 ## 40 7 64.6 4.95 2.02 6.58 ## 41 7 64.6 4.95 1.02 5.02 ## 42 7 64.6 4.95 0.50 2.35 ## 43 7 64.6 4.95 0.25 0.85 ## 44 7 64.6 4.95 0.00 0.15 ## 45 11 65.0 4.92 24.08 0.86 ## 46 11 65.0 4.92 12.12 2.69 ## 47 11 65.0 4.92 9.03 3.62 ## 48 11 65.0 4.92 7.03 4.45 ## 49 11 65.0 4.92 5.02 5.22 ## 50 11 65.0 4.92 3.60 5.87 ## 51 11 65.0 4.92 1.98 6.81 ## 52 11 65.0 4.92 0.98 8.00 ## 53 11 65.0 4.92 0.50 7.24 ## 54 11 65.0 4.92 0.25 4.86 ## 55 11 65.0 4.92 0.00 0.00 ## 56 3 70.5 4.53 24.17 1.05 ## 57 8 70.5 4.53 24.12 1.25 ## 58 3 70.5 4.53 12.15 3.70 ## 59 8 70.5 4.53 12.10 3.00 ## 60 8 70.5 4.53 9.07 4.57 ## 61 3 70.5 4.53 9.00 4.90 ## 62 8 70.5 4.53 7.15 4.73 ## 63 3 70.5 4.53 7.07 5.30 ## 64 3 70.5 4.53 5.08 6.20 ## 65 8 70.5 4.53 5.05 5.88 ## 66 3 70.5 4.53 3.62 7.50 ## 67 8 70.5 4.53 3.53 6.59 ## 68 3 70.5 4.53 2.02 7.80 ## 69 8 70.5 4.53 2.02 7.56 ## 70 3 70.5 4.53 1.02 8.20 ## 71 8 70.5 4.53 0.98 7.31 ## 72 3 70.5 4.53 0.58 6.90 ## 73 8 70.5 4.53 0.52 3.05 ## 74 3 70.5 4.53 0.27 4.40 ## 75 8 70.5 4.53 0.25 3.05 ## 76 3 70.5 4.53 0.00 0.00 ## 77 8 70.5 4.53 0.00 0.00 ## 78 2 72.4 4.40 24.30 0.90 ## 79 2 72.4 4.40 12.00 3.01 ## 80 2 72.4 4.40 9.00 4.55 ## 81 2 72.4 4.40 7.03 5.40 ## 82 2 72.4 4.40 5.02 6.08 ## 83 2 72.4 4.40 3.50 6.85 ## 84 2 72.4 4.40 1.92 8.33 ## 85 2 72.4 4.40 1.00 8.31 ## 86 2 72.4 4.40 0.52 7.91 ## 87 2 72.4 4.40 0.27 1.72 ## 88 2 72.4 4.40 0.00 0.00 ## 89 4 72.7 4.40 24.65 1.15 ## 90 4 72.7 4.40 11.98 4.19 ## 91 4 72.7 4.40 9.02 5.33 ## 92 4 72.7 4.40 7.02 5.78 ## 93 4 72.7 4.40 5.02 6.88 ## 94 4 72.7 4.40 3.50 7.54 ## 95 4 72.7 4.40 2.13 8.38 ## 96 4 72.7 4.40 1.07 8.60 ## 97 4 72.7 4.40 0.60 4.60 ## 98 4 72.7 4.40 0.35 1.89 ## 99 4 72.7 4.40 0.00 0.00 ## 100 1 79.6 4.02 24.37 3.28 ## 101 1 79.6 4.02 12.12 5.94 ## 102 1 79.6 4.02 9.05 6.89 ## 103 1 79.6 4.02 7.03 7.47 ## 104 1 79.6 4.02 5.10 8.36 ## 105 1 79.6 4.02 3.82 8.58 ## 106 1 79.6 4.02 2.02 9.66 ## 107 1 79.6 4.02 1.12 10.50 ## 108 1 79.6 4.02 0.57 6.57 ## 109 1 79.6 4.02 0.25 2.84 ## 110 1 79.6 4.02 0.00 0.74 ## 111 6 80.0 4.00 23.85 0.92 ## 112 6 80.0 4.00 12.10 2.78 ## 113 6 80.0 4.00 9.22 3.46 ## 114 6 80.0 4.00 7.00 4.02 ## 115 6 80.0 4.00 5.00 4.94 ## 116 6 80.0 4.00 3.57 5.53 ## 117 6 80.0 4.00 2.03 6.32 ## 118 6 80.0 4.00 1.15 6.44 ## 119 6 80.0 4.00 0.58 3.08 ## 120 6 80.0 4.00 0.27 1.29 ## 121 6 80.0 4.00 0.00 0.00 ## 122 9 86.4 3.10 24.43 1.12 ## 123 9 86.4 3.10 11.60 3.16 ## 124 9 86.4 3.10 8.80 4.11 ## 125 9 86.4 3.10 7.17 4.24 ## 126 9 86.4 3.10 5.02 5.67 ## 127 9 86.4 3.10 3.53 5.66 ## 128 9 86.4 3.10 2.02 6.33 ## 129 9 86.4 3.10 1.05 7.14 ## 130 9 86.4 3.10 0.63 9.03 ## 131 9 86.4 3.10 0.30 7.37 ## 132 9 86.4 3.10 0.00 0.00
############### # # # Exercise 7 # # # ############### mutate(df,trend=Time-mean(Time,na.rm = TRUE))
## Subject Wt Dose Time conc trend ## 1 1 79.6 4.02 0.00 0.74 -5.8946212 ## 2 1 79.6 4.02 0.25 2.84 -5.6446212 ## 3 1 79.6 4.02 0.57 6.57 -5.3246212 ## 4 1 79.6 4.02 1.12 10.50 -4.7746212 ## 5 1 79.6 4.02 2.02 9.66 -3.8746212 ## 6 1 79.6 4.02 3.82 8.58 -2.0746212 ## 7 1 79.6 4.02 5.10 8.36 -0.7946212 ## 8 1 79.6 4.02 7.03 7.47 1.1353788 ## 9 1 79.6 4.02 9.05 6.89 3.1553788 ## 10 1 79.6 4.02 12.12 5.94 6.2253788 ## 11 1 79.6 4.02 24.37 3.28 18.4753788 ## 12 2 72.4 4.40 0.00 0.00 -5.8946212 ## 13 2 72.4 4.40 0.27 1.72 -5.6246212 ## 14 2 72.4 4.40 0.52 7.91 -5.3746212 ## 15 2 72.4 4.40 1.00 8.31 -4.8946212 ## 16 2 72.4 4.40 1.92 8.33 -3.9746212 ## 17 2 72.4 4.40 3.50 6.85 -2.3946212 ## 18 2 72.4 4.40 5.02 6.08 -0.8746212 ## 19 2 72.4 4.40 7.03 5.40 1.1353788 ## 20 2 72.4 4.40 9.00 4.55 3.1053788 ## 21 2 72.4 4.40 12.00 3.01 6.1053788 ## 22 2 72.4 4.40 24.30 0.90 18.4053788 ## 23 3 70.5 4.53 0.00 0.00 -5.8946212 ## 24 3 70.5 4.53 0.27 4.40 -5.6246212 ## 25 3 70.5 4.53 0.58 6.90 -5.3146212 ## 26 3 70.5 4.53 1.02 8.20 -4.8746212 ## 27 3 70.5 4.53 2.02 7.80 -3.8746212 ## 28 3 70.5 4.53 3.62 7.50 -2.2746212 ## 29 3 70.5 4.53 5.08 6.20 -0.8146212 ## 30 3 70.5 4.53 7.07 5.30 1.1753788 ## 31 3 70.5 4.53 9.00 4.90 3.1053788 ## 32 3 70.5 4.53 12.15 3.70 6.2553788 ## 33 3 70.5 4.53 24.17 1.05 18.2753788 ## 34 4 72.7 4.40 0.00 0.00 -5.8946212 ## 35 4 72.7 4.40 0.35 1.89 -5.5446212 ## 36 4 72.7 4.40 0.60 4.60 -5.2946212 ## 37 4 72.7 4.40 1.07 8.60 -4.8246212 ## 38 4 72.7 4.40 2.13 8.38 -3.7646212 ## 39 4 72.7 4.40 3.50 7.54 -2.3946212 ## 40 4 72.7 4.40 5.02 6.88 -0.8746212 ## 41 4 72.7 4.40 7.02 5.78 1.1253788 ## 42 4 72.7 4.40 9.02 5.33 3.1253788 ## 43 4 72.7 4.40 11.98 4.19 6.0853788 ## 44 4 72.7 4.40 24.65 1.15 18.7553788 ## 45 5 54.6 5.86 0.00 0.00 -5.8946212 ## 46 5 54.6 5.86 0.30 2.02 -5.5946212 ## 47 5 54.6 5.86 0.52 5.63 -5.3746212 ## 48 5 54.6 5.86 1.00 11.40 -4.8946212 ## 49 5 54.6 5.86 2.02 9.33 -3.8746212 ## 50 5 54.6 5.86 3.50 8.74 -2.3946212 ## 51 5 54.6 5.86 5.02 7.56 -0.8746212 ## 52 5 54.6 5.86 7.02 7.09 1.1253788 ## 53 5 54.6 5.86 9.10 5.90 3.2053788 ## 54 5 54.6 5.86 12.00 4.37 6.1053788 ## 55 5 54.6 5.86 24.35 1.57 18.4553788 ## 56 6 80.0 4.00 0.00 0.00 -5.8946212 ## 57 6 80.0 4.00 0.27 1.29 -5.6246212 ## 58 6 80.0 4.00 0.58 3.08 -5.3146212 ## 59 6 80.0 4.00 1.15 6.44 -4.7446212 ## 60 6 80.0 4.00 2.03 6.32 -3.8646212 ## 61 6 80.0 4.00 3.57 5.53 -2.3246212 ## 62 6 80.0 4.00 5.00 4.94 -0.8946212 ## 63 6 80.0 4.00 7.00 4.02 1.1053788 ## 64 6 80.0 4.00 9.22 3.46 3.3253788 ## 65 6 80.0 4.00 12.10 2.78 6.2053788 ## 66 6 80.0 4.00 23.85 0.92 17.9553788 ## 67 7 64.6 4.95 0.00 0.15 -5.8946212 ## 68 7 64.6 4.95 0.25 0.85 -5.6446212 ## 69 7 64.6 4.95 0.50 2.35 -5.3946212 ## 70 7 64.6 4.95 1.02 5.02 -4.8746212 ## 71 7 64.6 4.95 2.02 6.58 -3.8746212 ## 72 7 64.6 4.95 3.48 7.09 -2.4146212 ## 73 7 64.6 4.95 5.00 6.66 -0.8946212 ## 74 7 64.6 4.95 6.98 5.25 1.0853788 ## 75 7 64.6 4.95 9.00 4.39 3.1053788 ## 76 7 64.6 4.95 12.05 3.53 6.1553788 ## 77 7 64.6 4.95 24.22 1.15 18.3253788 ## 78 8 70.5 4.53 0.00 0.00 -5.8946212 ## 79 8 70.5 4.53 0.25 3.05 -5.6446212 ## 80 8 70.5 4.53 0.52 3.05 -5.3746212 ## 81 8 70.5 4.53 0.98 7.31 -4.9146212 ## 82 8 70.5 4.53 2.02 7.56 -3.8746212 ## 83 8 70.5 4.53 3.53 6.59 -2.3646212 ## 84 8 70.5 4.53 5.05 5.88 -0.8446212 ## 85 8 70.5 4.53 7.15 4.73 1.2553788 ## 86 8 70.5 4.53 9.07 4.57 3.1753788 ## 87 8 70.5 4.53 12.10 3.00 6.2053788 ## 88 8 70.5 4.53 24.12 1.25 18.2253788 ## 89 9 86.4 3.10 0.00 0.00 -5.8946212 ## 90 9 86.4 3.10 0.30 7.37 -5.5946212 ## 91 9 86.4 3.10 0.63 9.03 -5.2646212 ## 92 9 86.4 3.10 1.05 7.14 -4.8446212 ## 93 9 86.4 3.10 2.02 6.33 -3.8746212 ## 94 9 86.4 3.10 3.53 5.66 -2.3646212 ## 95 9 86.4 3.10 5.02 5.67 -0.8746212 ## 96 9 86.4 3.10 7.17 4.24 1.2753788 ## 97 9 86.4 3.10 8.80 4.11 2.9053788 ## 98 9 86.4 3.10 11.60 3.16 5.7053788 ## 99 9 86.4 3.10 24.43 1.12 18.5353788 ## 100 10 58.2 5.50 0.00 0.24 -5.8946212 ## 101 10 58.2 5.50 0.37 2.89 -5.5246212 ## 102 10 58.2 5.50 0.77 5.22 -5.1246212 ## 103 10 58.2 5.50 1.02 6.41 -4.8746212 ## 104 10 58.2 5.50 2.05 7.83 -3.8446212 ## 105 10 58.2 5.50 3.55 10.21 -2.3446212 ## 106 10 58.2 5.50 5.05 9.18 -0.8446212 ## 107 10 58.2 5.50 7.08 8.02 1.1853788 ## 108 10 58.2 5.50 9.38 7.14 3.4853788 ## 109 10 58.2 5.50 12.10 5.68 6.2053788 ## 110 10 58.2 5.50 23.70 2.42 17.8053788 ## 111 11 65.0 4.92 0.00 0.00 -5.8946212 ## 112 11 65.0 4.92 0.25 4.86 -5.6446212 ## 113 11 65.0 4.92 0.50 7.24 -5.3946212 ## 114 11 65.0 4.92 0.98 8.00 -4.9146212 ## 115 11 65.0 4.92 1.98 6.81 -3.9146212 ## 116 11 65.0 4.92 3.60 5.87 -2.2946212 ## 117 11 65.0 4.92 5.02 5.22 -0.8746212 ## 118 11 65.0 4.92 7.03 4.45 1.1353788 ## 119 11 65.0 4.92 9.03 3.62 3.1353788 ## 120 11 65.0 4.92 12.12 2.69 6.2253788 ## 121 11 65.0 4.92 24.08 0.86 18.1853788 ## 122 12 60.5 5.30 0.00 0.00 -5.8946212 ## 123 12 60.5 5.30 0.25 1.25 -5.6446212 ## 124 12 60.5 5.30 0.50 3.96 -5.3946212 ## 125 12 60.5 5.30 1.00 7.82 -4.8946212 ## 126 12 60.5 5.30 2.00 9.72 -3.8946212 ## 127 12 60.5 5.30 3.52 9.75 -2.3746212 ## 128 12 60.5 5.30 5.07 8.57 -0.8246212 ## 129 12 60.5 5.30 7.07 6.59 1.1753788 ## 130 12 60.5 5.30 9.03 6.11 3.1353788 ## 131 12 60.5 5.30 12.05 4.57 6.1553788 ## 132 12 60.5 5.30 24.15 1.17 18.2553788
############### # # # Exercise 8 # # # ############### mutate(df, weight_cat = ifelse(Wt < 69.85 , "Welterweight",ifelse(Wt < 72.57 , "Light-middleweight",ifelse(Wt < 76.2 , "middleweight", ifelse(Wt>76.2, "Super-Middleweight", "Unknown")))))
## Subject Wt Dose Time conc weight_cat ## 1 1 79.6 4.02 0.00 0.74 Super-Middleweight ## 2 1 79.6 4.02 0.25 2.84 Super-Middleweight ## 3 1 79.6 4.02 0.57 6.57 Super-Middleweight ## 4 1 79.6 4.02 1.12 10.50 Super-Middleweight ## 5 1 79.6 4.02 2.02 9.66 Super-Middleweight ## 6 1 79.6 4.02 3.82 8.58 Super-Middleweight ## 7 1 79.6 4.02 5.10 8.36 Super-Middleweight ## 8 1 79.6 4.02 7.03 7.47 Super-Middleweight ## 9 1 79.6 4.02 9.05 6.89 Super-Middleweight ## 10 1 79.6 4.02 12.12 5.94 Super-Middleweight ## 11 1 79.6 4.02 24.37 3.28 Super-Middleweight ## 12 2 72.4 4.40 0.00 0.00 Light-middleweight ## 13 2 72.4 4.40 0.27 1.72 Light-middleweight ## 14 2 72.4 4.40 0.52 7.91 Light-middleweight ## 15 2 72.4 4.40 1.00 8.31 Light-middleweight ## 16 2 72.4 4.40 1.92 8.33 Light-middleweight ## 17 2 72.4 4.40 3.50 6.85 Light-middleweight ## 18 2 72.4 4.40 5.02 6.08 Light-middleweight ## 19 2 72.4 4.40 7.03 5.40 Light-middleweight ## 20 2 72.4 4.40 9.00 4.55 Light-middleweight ## 21 2 72.4 4.40 12.00 3.01 Light-middleweight ## 22 2 72.4 4.40 24.30 0.90 Light-middleweight ## 23 3 70.5 4.53 0.00 0.00 Light-middleweight ## 24 3 70.5 4.53 0.27 4.40 Light-middleweight ## 25 3 70.5 4.53 0.58 6.90 Light-middleweight ## 26 3 70.5 4.53 1.02 8.20 Light-middleweight ## 27 3 70.5 4.53 2.02 7.80 Light-middleweight ## 28 3 70.5 4.53 3.62 7.50 Light-middleweight ## 29 3 70.5 4.53 5.08 6.20 Light-middleweight ## 30 3 70.5 4.53 7.07 5.30 Light-middleweight ## 31 3 70.5 4.53 9.00 4.90 Light-middleweight ## 32 3 70.5 4.53 12.15 3.70 Light-middleweight ## 33 3 70.5 4.53 24.17 1.05 Light-middleweight ## 34 4 72.7 4.40 0.00 0.00 middleweight ## 35 4 72.7 4.40 0.35 1.89 middleweight ## 36 4 72.7 4.40 0.60 4.60 middleweight ## 37 4 72.7 4.40 1.07 8.60 middleweight ## 38 4 72.7 4.40 2.13 8.38 middleweight ## 39 4 72.7 4.40 3.50 7.54 middleweight ## 40 4 72.7 4.40 5.02 6.88 middleweight ## 41 4 72.7 4.40 7.02 5.78 middleweight ## 42 4 72.7 4.40 9.02 5.33 middleweight ## 43 4 72.7 4.40 11.98 4.19 middleweight ## 44 4 72.7 4.40 24.65 1.15 middleweight ## 45 5 54.6 5.86 0.00 0.00 Welterweight ## 46 5 54.6 5.86 0.30 2.02 Welterweight ## 47 5 54.6 5.86 0.52 5.63 Welterweight ## 48 5 54.6 5.86 1.00 11.40 Welterweight ## 49 5 54.6 5.86 2.02 9.33 Welterweight ## 50 5 54.6 5.86 3.50 8.74 Welterweight ## 51 5 54.6 5.86 5.02 7.56 Welterweight ## 52 5 54.6 5.86 7.02 7.09 Welterweight ## 53 5 54.6 5.86 9.10 5.90 Welterweight ## 54 5 54.6 5.86 12.00 4.37 Welterweight ## 55 5 54.6 5.86 24.35 1.57 Welterweight ## 56 6 80.0 4.00 0.00 0.00 Super-Middleweight ## 57 6 80.0 4.00 0.27 1.29 Super-Middleweight ## 58 6 80.0 4.00 0.58 3.08 Super-Middleweight ## 59 6 80.0 4.00 1.15 6.44 Super-Middleweight ## 60 6 80.0 4.00 2.03 6.32 Super-Middleweight ## 61 6 80.0 4.00 3.57 5.53 Super-Middleweight ## 62 6 80.0 4.00 5.00 4.94 Super-Middleweight ## 63 6 80.0 4.00 7.00 4.02 Super-Middleweight ## 64 6 80.0 4.00 9.22 3.46 Super-Middleweight ## 65 6 80.0 4.00 12.10 2.78 Super-Middleweight ## 66 6 80.0 4.00 23.85 0.92 Super-Middleweight ## 67 7 64.6 4.95 0.00 0.15 Welterweight ## 68 7 64.6 4.95 0.25 0.85 Welterweight ## 69 7 64.6 4.95 0.50 2.35 Welterweight ## 70 7 64.6 4.95 1.02 5.02 Welterweight ## 71 7 64.6 4.95 2.02 6.58 Welterweight ## 72 7 64.6 4.95 3.48 7.09 Welterweight ## 73 7 64.6 4.95 5.00 6.66 Welterweight ## 74 7 64.6 4.95 6.98 5.25 Welterweight ## 75 7 64.6 4.95 9.00 4.39 Welterweight ## 76 7 64.6 4.95 12.05 3.53 Welterweight ## 77 7 64.6 4.95 24.22 1.15 Welterweight ## 78 8 70.5 4.53 0.00 0.00 Light-middleweight ## 79 8 70.5 4.53 0.25 3.05 Light-middleweight ## 80 8 70.5 4.53 0.52 3.05 Light-middleweight ## 81 8 70.5 4.53 0.98 7.31 Light-middleweight ## 82 8 70.5 4.53 2.02 7.56 Light-middleweight ## 83 8 70.5 4.53 3.53 6.59 Light-middleweight ## 84 8 70.5 4.53 5.05 5.88 Light-middleweight ## 85 8 70.5 4.53 7.15 4.73 Light-middleweight ## 86 8 70.5 4.53 9.07 4.57 Light-middleweight ## 87 8 70.5 4.53 12.10 3.00 Light-middleweight ## 88 8 70.5 4.53 24.12 1.25 Light-middleweight ## 89 9 86.4 3.10 0.00 0.00 Super-Middleweight ## 90 9 86.4 3.10 0.30 7.37 Super-Middleweight ## 91 9 86.4 3.10 0.63 9.03 Super-Middleweight ## 92 9 86.4 3.10 1.05 7.14 Super-Middleweight ## 93 9 86.4 3.10 2.02 6.33 Super-Middleweight ## 94 9 86.4 3.10 3.53 5.66 Super-Middleweight ## 95 9 86.4 3.10 5.02 5.67 Super-Middleweight ## 96 9 86.4 3.10 7.17 4.24 Super-Middleweight ## 97 9 86.4 3.10 8.80 4.11 Super-Middleweight ## 98 9 86.4 3.10 11.60 3.16 Super-Middleweight ## 99 9 86.4 3.10 24.43 1.12 Super-Middleweight ## 100 10 58.2 5.50 0.00 0.24 Welterweight ## 101 10 58.2 5.50 0.37 2.89 Welterweight ## 102 10 58.2 5.50 0.77 5.22 Welterweight ## 103 10 58.2 5.50 1.02 6.41 Welterweight ## 104 10 58.2 5.50 2.05 7.83 Welterweight ## 105 10 58.2 5.50 3.55 10.21 Welterweight ## 106 10 58.2 5.50 5.05 9.18 Welterweight ## 107 10 58.2 5.50 7.08 8.02 Welterweight ## 108 10 58.2 5.50 9.38 7.14 Welterweight ## 109 10 58.2 5.50 12.10 5.68 Welterweight ## 110 10 58.2 5.50 23.70 2.42 Welterweight ## 111 11 65.0 4.92 0.00 0.00 Welterweight ## 112 11 65.0 4.92 0.25 4.86 Welterweight ## 113 11 65.0 4.92 0.50 7.24 Welterweight ## 114 11 65.0 4.92 0.98 8.00 Welterweight ## 115 11 65.0 4.92 1.98 6.81 Welterweight ## 116 11 65.0 4.92 3.60 5.87 Welterweight ## 117 11 65.0 4.92 5.02 5.22 Welterweight ## 118 11 65.0 4.92 7.03 4.45 Welterweight ## 119 11 65.0 4.92 9.03 3.62 Welterweight ## 120 11 65.0 4.92 12.12 2.69 Welterweight ## 121 11 65.0 4.92 24.08 0.86 Welterweight ## 122 12 60.5 5.30 0.00 0.00 Welterweight ## 123 12 60.5 5.30 0.25 1.25 Welterweight ## 124 12 60.5 5.30 0.50 3.96 Welterweight ## 125 12 60.5 5.30 1.00 7.82 Welterweight ## 126 12 60.5 5.30 2.00 9.72 Welterweight ## 127 12 60.5 5.30 3.52 9.75 Welterweight ## 128 12 60.5 5.30 5.07 8.57 Welterweight ## 129 12 60.5 5.30 7.07 6.59 Welterweight ## 130 12 60.5 5.30 9.03 6.11 Welterweight ## 131 12 60.5 5.30 12.05 4.57 Welterweight ## 132 12 60.5 5.30 24.15 1.17 Welterweight
############### # # # Exercise 9 # # # ############### weight_group=group_by(df_2,weight_cat)
## Error in group_by_(.data, .dots = lazyeval::lazy_dots(...), add = add): object 'df_2' not found
############### # # # Exercise 10 # # # ############### summarize(weight_cat,Avg_Time=mean(Time),Total_Dose=sum(Dose))
## # A tibble: 4 × 3 ## weight_cat Avg_Time Total_Dose ## <chr> <dbl> <dbl> ## 1 Light-middleweight 5.888788 148.06 ## 2 middleweight 5.940000 48.40 ## 3 Super-Middleweight 5.902121 122.32 ## 4 Welterweight 5.884545 291.83
Why do you even publish things like this with errors, an non-working examples?
figured it out. pretty good example