Statistical analysis results of the fiber cross-sectional area data by muscle and fiber type.
FIBER_AREA_STATSAn object of class data.frame with 56 rows and 21 columns:
character; the measurement being tested. All "Mean Fiber Area".
factor; the age of the rat at the beginning of the training protocol. Levels: "6M" (Adult) and "18M" (Aged).
factor; the sex of the rat with levels "Female" and "Male".
factor; the muscle that was sampled with levels "LG" (lateral gastrocnemius), "MG" (medial gastrocnemius), "PL" (plantaris), and "SOL" (soleus).
factor; the muscle fiber type with levels "I", "IIa", "IIx", and "IIb".
factor; the comparison between groups. All contrasts are ratios between the 8W and SED group means ("8W / SED").
character; interpretation of the value in the
estimate column. All "ratio" (ratio between group means, as
specified by contrast).
numeric; the value of the estimate under the null hypothesis.
numeric; ratio between the means of the groups as specified
by contrast.
numeric; the standard error of the estimate.
numeric; lower bound of the 95% confidence interval.
numeric; upper bound of the 95% confidence interval.
character; the type of statistical test. All "t" (Student's t-statistic).
numeric; the value of the test statistic.
numeric; the number of residual degrees of freedom.
numeric; the p-value associated with the statistical test.
numeric; the Holm-adjusted p-value.
logical; TRUE if p.adj < 0.05.
character; the statistical model used for testing. All "lme" (linear mixed effects model).
character; the fixed-effects component of the model formula.
Describes the response variable (and any transformations) and all predictor
variables that were included. Equivalent to formula.
character; the random component of the model formula. Specifies the random effects for mixed effects models. All "~1 | pid" (random intercept for each rat).
head(FIBER_AREA_STATS)
#> response age sex muscle type contrast estimate_type null estimate
#> 1 Mean Fiber Area 6M Female LG I 8W / SED ratio 1 0.9858807
#> 2 Mean Fiber Area 6M Female LG IIa 8W / SED ratio 1 1.0077985
#> 3 Mean Fiber Area 6M Female LG IIx 8W / SED ratio 1 1.0069759
#> 4 Mean Fiber Area 6M Female LG IIb 8W / SED ratio 1 0.9865055
#> 5 Mean Fiber Area 6M Female MG I 8W / SED ratio 1 1.0947372
#> 6 Mean Fiber Area 6M Female MG IIa 8W / SED ratio 1 1.1627512
#> SE lower.CL upper.CL statistic_type statistic df p.value
#> 1 0.06716298 0.8590696 1.131411 t -0.2087328 40 0.8357162
#> 2 0.06865613 0.8781682 1.156564 t 0.1140301 40 0.9097843
#> 3 0.06860009 0.8774514 1.155620 t 0.1020439 40 0.9192317
#> 4 0.06720554 0.8596140 1.132128 t -0.1994340 40 0.8429336
#> 5 0.07457881 0.9539241 1.256336 t 1.3286536 40 0.1914926
#> 6 0.07921226 1.0131897 1.334390 t 2.2134207 40 0.0326355
#> p.adj signif model_type
#> 1 1.00000000 FALSE lme
#> 2 1.00000000 FALSE lme
#> 3 1.00000000 FALSE lme
#> 4 1.00000000 FALSE lme
#> 5 0.19149264 FALSE lme
#> 6 0.06527099 FALSE lme
#> fixed random
#> 1 log(fiber_area) ~ age * sex * group * muscle_type ~1 | pid
#> 2 log(fiber_area) ~ age * sex * group * muscle_type ~1 | pid
#> 3 log(fiber_area) ~ age * sex * group * muscle_type ~1 | pid
#> 4 log(fiber_area) ~ age * sex * group * muscle_type ~1 | pid
#> 5 log(fiber_area) ~ age * sex * group * muscle_type ~1 | pid
#> 6 log(fiber_area) ~ age * sex * group * muscle_type ~1 | pid