Statistical analysis results of plasma clinical analytes.
ANALYTES_STATSAn object of class data.frame with 144 rows and 20 columns:
character; the clinical analyte 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 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.
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 Dunnett-adjusted p-value.
logical; TRUE if p.adj < 0.05.
character; the statistical model used. All "glm" (generalized linear model).
character; the probability distribution and link function for the generalized linear model.
character; the model formula. Includes the response variable, any transformations, and predictors.
character; if reciprocal group variances were used as weights to account for heteroscedasticity (nonconstant residual variance), this is noted here.
head(ANALYTES_STATS)
#> response age sex contrast estimate_type null estimate SE
#> 1 Corticosterone 6M Female 1W / SED ratio 1 1.832279 0.2981685
#> 2 Corticosterone 6M Female 2W / SED ratio 1 1.530332 0.2571677
#> 3 Corticosterone 6M Female 4W / SED ratio 1 1.895274 0.2778634
#> 4 Corticosterone 6M Female 8W / SED ratio 1 1.279948 0.2011438
#> 5 Corticosterone 6M Male 1W / SED ratio 1 1.832279 0.2981685
#> 6 Corticosterone 6M Male 2W / SED ratio 1 1.530332 0.2571677
#> lower.CL upper.CL statistic_type statistic df p.value p.adj signif
#> 1 1.2249426 2.740737 t 3.721236 189 0.06848359 0.001014465 TRUE
#> 2 1.0097111 2.319392 t 2.531939 189 0.12760657 0.043071377 TRUE
#> 3 1.3186265 2.724094 t 4.361023 189 0.05958248 0.000083877 TRUE
#> 4 0.8675887 1.888298 t 1.570596 189 0.20213238 0.333765251 FALSE
#> 5 1.2249426 2.740737 t 3.721236 189 0.06848359 0.001014465 TRUE
#> 6 1.0097111 2.319392 t 2.531939 189 0.12760657 0.043071377 TRUE
#> model_type family formula
#> 1 glm gaussian("log") corticosterone ~ sex + group
#> 2 glm gaussian("log") corticosterone ~ sex + group
#> 3 glm gaussian("log") corticosterone ~ sex + group
#> 4 glm gaussian("log") corticosterone ~ sex + group
#> 5 glm gaussian("log") corticosterone ~ sex + group
#> 6 glm gaussian("log") corticosterone ~ sex + group
#> weights
#> 1 inverse group variances
#> 2 inverse group variances
#> 3 inverse group variances
#> 4 inverse group variances
#> 5 inverse group variances
#> 6 inverse group variances