lmList.groupedData.RdThe response variable and primary covariate in formula(object)
are used to construct the linear model formula. This formula
and the groupedData object are passed as the object and
data arguments to lmList.formula, together with any other
additional arguments in the function call. See the documentation on
lmList.formula for a description of that function.
# S3 method for class 'groupedData'
lmList(object, data, level, subset, na.action = na.fail,
pool = TRUE, warn.lm = TRUE)a data frame inheriting from class "groupedData".
this argument is included for consistency with the generic function. It is ignored in this method function.
an optional integer specifying the level of grouping to be used when multiple nested levels of grouping are present.
an optional expression indicating which subset of the rows of
data should be used in the fit. This can be a logical
vector, or a numeric vector indicating which observation numbers are
to be included, or a character vector of the row names to be
included. All observations are included by default.
a function that indicates what should happen when the
data contain NAs. The default action (na.fail) causes
lmList to print an error message and terminate if there are any
incomplete observations.
a list of lm objects with as many components as the number of
groups defined by the grouping factor. Generic functions such as
coef, fixed.effects, lme, pairs,
plot, predict, random.effects, summary,
and update have methods that can be applied to an lmList
object.
fm1 <- lmList(Orthodont)
summary(fm1)
#> Call:
#> Model: distance ~ age | Subject
#> Data: Orthodont
#>
#> Coefficients:
#> (Intercept)
#> Estimate Std. Error t value Pr(>|t|)
#> M16 16.95 3.288173 5.1548379 3.695247e-06
#> M05 13.65 3.288173 4.1512411 1.181678e-04
#> M02 14.85 3.288173 4.5161854 3.458934e-05
#> M11 20.05 3.288173 6.0976106 1.188838e-07
#> M07 14.95 3.288173 4.5465974 3.116705e-05
#> M08 19.75 3.288173 6.0063745 1.665712e-07
#> M03 16.00 3.288173 4.8659237 1.028488e-05
#> M12 13.25 3.288173 4.0295930 1.762580e-04
#> M13 2.80 3.288173 0.8515366 3.982319e-01
#> M14 19.10 3.288173 5.8086964 3.449588e-07
#> M09 14.40 3.288173 4.3793313 5.509579e-05
#> M15 13.50 3.288173 4.1056231 1.373664e-04
#> M06 18.95 3.288173 5.7630783 4.078189e-07
#> M04 24.70 3.288173 7.5117696 6.081644e-10
#> M01 17.30 3.288173 5.2612799 2.523621e-06
#> M10 21.25 3.288173 6.4625549 3.065505e-08
#> F10 13.55 3.288173 4.1208291 1.306536e-04
#> F09 18.10 3.288173 5.5045761 1.047769e-06
#> F06 17.00 3.288173 5.1700439 3.499774e-06
#> F01 17.25 3.288173 5.2460739 2.665260e-06
#> F05 19.60 3.288173 5.9607565 1.971127e-07
#> F07 16.95 3.288173 5.1548379 3.695247e-06
#> F02 14.20 3.288173 4.3185072 6.763806e-05
#> F08 21.45 3.288173 6.5233789 2.443813e-08
#> F03 14.40 3.288173 4.3793313 5.509579e-05
#> F04 19.65 3.288173 5.9759625 1.863600e-07
#> F11 18.95 3.288173 5.7630783 4.078189e-07
#> age
#> Estimate Std. Error t value Pr(>|t|)
#> M16 0.550 0.2929338 1.8775576 6.584707e-02
#> M05 0.850 0.2929338 2.9016799 5.361639e-03
#> M02 0.775 0.2929338 2.6456493 1.065760e-02
#> M11 0.325 0.2929338 1.1094659 2.721458e-01
#> M07 0.800 0.2929338 2.7309929 8.511442e-03
#> M08 0.375 0.2929338 1.2801529 2.059634e-01
#> M03 0.750 0.2929338 2.5603058 1.328807e-02
#> M12 1.000 0.2929338 3.4137411 1.222240e-03
#> M13 1.950 0.2929338 6.6567951 1.485652e-08
#> M14 0.525 0.2929338 1.7922141 7.870160e-02
#> M09 0.975 0.2929338 3.3283976 1.577941e-03
#> M15 1.125 0.2929338 3.8404587 3.247135e-04
#> M06 0.675 0.2929338 2.3042752 2.508117e-02
#> M04 0.175 0.2929338 0.5974047 5.527342e-01
#> M01 0.950 0.2929338 3.2430540 2.030113e-03
#> M10 0.750 0.2929338 2.5603058 1.328807e-02
#> F10 0.450 0.2929338 1.5361835 1.303325e-01
#> F09 0.275 0.2929338 0.9387788 3.520246e-01
#> F06 0.375 0.2929338 1.2801529 2.059634e-01
#> F01 0.375 0.2929338 1.2801529 2.059634e-01
#> F05 0.275 0.2929338 0.9387788 3.520246e-01
#> F07 0.550 0.2929338 1.8775576 6.584707e-02
#> F02 0.800 0.2929338 2.7309929 8.511442e-03
#> F08 0.175 0.2929338 0.5974047 5.527342e-01
#> F03 0.850 0.2929338 2.9016799 5.361639e-03
#> F04 0.475 0.2929338 1.6215270 1.107298e-01
#> F11 0.675 0.2929338 2.3042752 2.508117e-02
#>
#> Residual standard error: 1.31004 on 54 degrees of freedom
#>