getData.lmList.RdIf present in the calling sequence used to produce object, the
data frame used to fit the model is obtained.
# S3 method for class 'lmList'
getData(object)if a data argument is present in the calling sequence that
produced object, the corresponding data frame (with
na.action and subset applied to it, if also present in
the call that produced object) is returned;
else, NULL is returned.
fm1 <- lmList(distance ~ age | Subject, Orthodont)
getData(fm1)
#> Grouped Data: distance ~ age | Subject
#> distance age Subject Sex
#> 1 26.0 8 M01 Male
#> 2 25.0 10 M01 Male
#> 3 29.0 12 M01 Male
#> 4 31.0 14 M01 Male
#> 5 21.5 8 M02 Male
#> 6 22.5 10 M02 Male
#> 7 23.0 12 M02 Male
#> 8 26.5 14 M02 Male
#> 9 23.0 8 M03 Male
#> 10 22.5 10 M03 Male
#> 11 24.0 12 M03 Male
#> 12 27.5 14 M03 Male
#> 13 25.5 8 M04 Male
#> 14 27.5 10 M04 Male
#> 15 26.5 12 M04 Male
#> 16 27.0 14 M04 Male
#> 17 20.0 8 M05 Male
#> 18 23.5 10 M05 Male
#> 19 22.5 12 M05 Male
#> 20 26.0 14 M05 Male
#> 21 24.5 8 M06 Male
#> 22 25.5 10 M06 Male
#> 23 27.0 12 M06 Male
#> 24 28.5 14 M06 Male
#> 25 22.0 8 M07 Male
#> 26 22.0 10 M07 Male
#> 27 24.5 12 M07 Male
#> 28 26.5 14 M07 Male
#> 29 24.0 8 M08 Male
#> 30 21.5 10 M08 Male
#> 31 24.5 12 M08 Male
#> 32 25.5 14 M08 Male
#> 33 23.0 8 M09 Male
#> 34 20.5 10 M09 Male
#> 35 31.0 12 M09 Male
#> 36 26.0 14 M09 Male
#> 37 27.5 8 M10 Male
#> 38 28.0 10 M10 Male
#> 39 31.0 12 M10 Male
#> 40 31.5 14 M10 Male
#> 41 23.0 8 M11 Male
#> 42 23.0 10 M11 Male
#> 43 23.5 12 M11 Male
#> 44 25.0 14 M11 Male
#> 45 21.5 8 M12 Male
#> 46 23.5 10 M12 Male
#> 47 24.0 12 M12 Male
#> 48 28.0 14 M12 Male
#> 49 17.0 8 M13 Male
#> 50 24.5 10 M13 Male
#> 51 26.0 12 M13 Male
#> 52 29.5 14 M13 Male
#> 53 22.5 8 M14 Male
#> 54 25.5 10 M14 Male
#> 55 25.5 12 M14 Male
#> 56 26.0 14 M14 Male
#> 57 23.0 8 M15 Male
#> 58 24.5 10 M15 Male
#> 59 26.0 12 M15 Male
#> 60 30.0 14 M15 Male
#> 61 22.0 8 M16 Male
#> 62 21.5 10 M16 Male
#> 63 23.5 12 M16 Male
#> 64 25.0 14 M16 Male
#> 65 21.0 8 F01 Female
#> 66 20.0 10 F01 Female
#> 67 21.5 12 F01 Female
#> 68 23.0 14 F01 Female
#> 69 21.0 8 F02 Female
#> 70 21.5 10 F02 Female
#> 71 24.0 12 F02 Female
#> 72 25.5 14 F02 Female
#> 73 20.5 8 F03 Female
#> 74 24.0 10 F03 Female
#> 75 24.5 12 F03 Female
#> 76 26.0 14 F03 Female
#> 77 23.5 8 F04 Female
#> 78 24.5 10 F04 Female
#> 79 25.0 12 F04 Female
#> 80 26.5 14 F04 Female
#> 81 21.5 8 F05 Female
#> 82 23.0 10 F05 Female
#> 83 22.5 12 F05 Female
#> 84 23.5 14 F05 Female
#> 85 20.0 8 F06 Female
#> 86 21.0 10 F06 Female
#> 87 21.0 12 F06 Female
#> 88 22.5 14 F06 Female
#> 89 21.5 8 F07 Female
#> 90 22.5 10 F07 Female
#> 91 23.0 12 F07 Female
#> 92 25.0 14 F07 Female
#> 93 23.0 8 F08 Female
#> 94 23.0 10 F08 Female
#> 95 23.5 12 F08 Female
#> 96 24.0 14 F08 Female
#> 97 20.0 8 F09 Female
#> 98 21.0 10 F09 Female
#> 99 22.0 12 F09 Female
#> 100 21.5 14 F09 Female
#> 101 16.5 8 F10 Female
#> 102 19.0 10 F10 Female
#> 103 19.0 12 F10 Female
#> 104 19.5 14 F10 Female
#> 105 24.5 8 F11 Female
#> 106 25.0 10 F11 Female
#> 107 28.0 12 F11 Female
#> 108 28.0 14 F11 Female