Statistical analysis results of muscle-specific measures: terminal muscle mass, mean cross-sectional area (CSA), glycogen, capillary contacts, and citrate synthase.
MUSCLES_STATSAn object of class data.frame with 224 rows and 22 columns:
character; the muscle-specific measurement being tested.
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 comparison between groups. All contrasts are ratios between the trained and SED group means (levels "1W / SED", "2W / SED", "4W / SED", "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 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).
character; if reciprocal group variances were used as weights to account for heteroscedasticity (nonconstant residual variance), this is noted here.
character; if any observations were omitted during the analysis, they are listed here.
unique(MUSCLES_STATS$response) # available measures
#> [1] "Capillary Contacts" "Citrate Synthase" "Glycogen"
#> [4] "Mean CSA" "Terminal Muscle Mass"
head(MUSCLES_STATS)
#> # A tibble: 6 × 22
#> response age sex muscle contrast estimate_type null estimate SE
#> <chr> <fct> <fct> <fct> <fct> <chr> <dbl> <dbl> <dbl>
#> 1 Capillary Con… 6M Fema… LG 8W / SED ratio 1 1.05 0.0257
#> 2 Capillary Con… 6M Fema… MG 8W / SED ratio 1 0.974 0.0401
#> 3 Capillary Con… 6M Fema… PL 8W / SED ratio 1 0.948 0.0226
#> 4 Capillary Con… 6M Fema… SOL 8W / SED ratio 1 1.05 0.0359
#> 5 Capillary Con… 6M Male LG 8W / SED ratio 1 1.05 0.0257
#> 6 Capillary Con… 6M Male MG 8W / SED ratio 1 0.974 0.0401
#> # ℹ 13 more variables: lower.CL <dbl>, upper.CL <dbl>, statistic_type <chr>,
#> # statistic <dbl>, df <dbl>, p.value <dbl>, p.adj <dbl>, signif <lgl>,
#> # model_type <chr>, fixed <chr>, random <chr>, weights <chr>,
#> # obs_removed <chr>