Perform the following steps to impute the missing values:
- List the Ozone attribute:
> mydata$Ozone Output [1] 41 36 12 18 NA 28 23 19 8 NA 7 16 11 14 18 14 34 6 30 11 [21] 1 11 4 32 NA NA NA 23 45 115 37 NA NA NA NA NA NA 29 NA 71 [41] 39 NA NA 23 NA NA 21 37 20 12 13 NA NA NA NA NA NA NA NA NA [61] NA 135 49 32 NA 64 40 77 97 97 85 NA 10 27 NA 7 48 35 61 79 [81] 63 16 NA NA 80 108 20 52 82 50 64 59 39 9 16 78 35 66 122 89 [101] 110 NA NA 44 28 65 NA 22 59 23 31 44 21 9 NA 45 168 73 NA 76 [121] 118 84 85 96 78 73 91 47 32 20 23 21 24 44 21 28 9 13 46 18 [141] 13 24 16 13 23 36 7 14 30 NA 14 18 20
- We want to replace the NA values with the most repeated observation. Use the table command to find the frequency of the observations: ...