Statistical analysis results of weekly body mass.
WEEKLY_BODY_MASS_STATS
An object of class data.frame
with 32 rows and 20 columns:
character; the variable 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 week the measurement was recorded relative to the start of the training protocol (levels 1--8).
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.
numeric; the value of the estimate under the null hypothesis.
numeric;
numeric; the standard error of the ratio estimate.
numeric; lower bound of the 95% confidence interval.
numeric; upper bound of the 95% confidence interval.
character; the type of statistical test.
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.
character; the model formula. Includes the response variable, any transformations, and predictors.
character; the within-group correlation structure. All "corAR1(form = ~1 | pid)".
head(WEEKLY_BODY_MASS_STATS)
#> # A tibble: 6 × 20
#> # Groups: age, sex [1]
#> response age sex week contrast estimate_type null estimate SE
#> <chr> <fct> <fct> <fct> <fct> <chr> <dbl> <dbl> <dbl>
#> 1 Weekly Body Ma… 6M Fema… 1 8W / SED ratio 1 1.00 0.0173
#> 2 Weekly Body Ma… 6M Fema… 2 8W / SED ratio 1 0.994 0.0171
#> 3 Weekly Body Ma… 6M Fema… 3 8W / SED ratio 1 0.973 0.0167
#> 4 Weekly Body Ma… 6M Fema… 4 8W / SED ratio 1 0.969 0.0167
#> 5 Weekly Body Ma… 6M Fema… 5 8W / SED ratio 1 0.958 0.0165
#> 6 Weekly Body Ma… 6M Fema… 6 8W / SED ratio 1 0.951 0.0164
#> # ℹ 11 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>, formula <chr>, correlation <chr>