A list of emmGrid objects: NMR mass, lean mass, fat mass,
% lean mass, % fat mass; absolute VO\(_2\)max; and relative
VO\(_2\)max.
BASELINE_EMMAn object of class list of length 7.
names(BASELINE_EMM) # available measures
#> [1] "NMR Body Mass" "NMR Lean Mass" "NMR Fat Mass" "NMR % Lean"
#> [5] "NMR % Fat" "Absolute VO2max" "Relative VO2max"
str(BASELINE_EMM)
#> List of 7
#> $ NMR Body Mass :'emmGrid' object with variables:
#> group = SED, 1W, 2W, 4W, 8W
#> age = 6M, 18M
#> sex = Female, Male
#> Transformation: “log”
#> $ NMR Lean Mass :'emmGrid' object with variables:
#> group = SED, 1W, 2W, 4W, 8W
#> age = 6M, 18M
#> sex = Female, Male
#> Transformation: “log”
#> $ NMR Fat Mass :'emmGrid' object with variables:
#> group = SED, 1W, 2W, 4W, 8W
#> age = 6M, 18M
#> sex = Female, Male
#> Transformation: “log”
#> $ NMR % Lean :'emmGrid' object with variables:
#> group = SED, 1W, 2W, 4W, 8W
#> age = 6M, 18M
#> sex = Female, Male
#> Transformation: “log”
#> $ NMR % Fat :'emmGrid' object with variables:
#> group = SED, 1W, 2W, 4W, 8W
#> age = 6M, 18M
#> sex = Female, Male
#> Transformation: “log”
#> $ Absolute VO2max:'emmGrid' object with variables:
#> age_group = 18M_8W, 18M_SED, 6M_1W, 6M_2W, 6M_4W, 6M_8W, 6M_SED
#> sex = Female, Male
#> Transformation: “log”
#> $ Relative VO2max:'emmGrid' object with variables:
#> age_group = 18M_8W, 18M_SED, 6M_1W, 6M_2W, 6M_4W, 6M_8W, 6M_SED
#> sex = Female, Male
#> Transformation: “log”
# Print one of the emmGrid objects
summary(BASELINE_EMM[["NMR Body Mass"]])
#> age = 6M, sex = Female:
#> group response SE df lower.CL upper.CL null t.ratio p.value
#> SED 180 1.69 271 177 184 1 554.320 <.0001
#> 1W 191 1.74 271 188 195 1 577.370 <.0001
#> 2W 190 1.83 271 187 194 1 544.857 <.0001
#> 4W 179 2.15 271 175 184 1 431.953 <.0001
#> 8W 181 1.60 271 178 184 1 587.375 <.0001
#>
#> age = 18M, sex = Female:
#> group response SE df lower.CL upper.CL null t.ratio p.value
#> SED 241 2.50 271 236 246 1 528.705 <.0001
#> 1W 228 2.68 271 223 233 1 461.730 <.0001
#> 2W 231 3.03 271 225 237 1 415.925 <.0001
#> 4W 234 2.10 271 230 238 1 606.904 <.0001
#> 8W 238 1.94 271 235 242 1 672.868 <.0001
#>
#> age = 6M, sex = Male:
#> group response SE df lower.CL upper.CL null t.ratio p.value
#> SED 331 3.37 271 324 338 1 569.940 <.0001
#> 1W 351 3.58 271 344 358 1 574.547 <.0001
#> 2W 349 3.75 271 342 356 1 545.336 <.0001
#> 4W 329 4.04 271 321 337 1 471.724 <.0001
#> 8W 332 2.92 271 327 338 1 660.553 <.0001
#>
#> age = 18M, sex = Male:
#> group response SE df lower.CL upper.CL null t.ratio p.value
#> SED 442 4.33 271 434 451 1 622.508 <.0001
#> 1W 418 4.78 271 408 427 1 526.932 <.0001
#> 2W 424 5.26 271 414 435 1 488.467 <.0001
#> 4W 429 3.26 271 422 435 1 797.672 <.0001
#> 8W 437 3.28 271 431 444 1 811.396 <.0001
#>
#> Confidence level used: 0.95
#> Intervals are back-transformed from the log scale
#> Tests are performed on the log scale