Description Usage Arguments Details Examples
This function computes the between_litter variance explained by the treatment effect. Note that treatment does not necessarily reflect and experimental design. In this context, the treatment is a comparison between two groups (e.g., high vs low lg).
1 | litter_var_explained_by_treat(outcome, treatment, litter)
|
outcome |
the observations to be predicted |
treatment |
predictor (two groups: high vs low LG) |
litter |
litter variable (see my_data for example) |
Note that, in some instances, the variance explained can be negative. In this case, there is more betweem-litter variance after the inclusion of the treatment effect in the model. This is cannot be interpreted directly, but does indicate that the treatment effect did not explain any of the between-litter variance
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | # specify values
b_0 <- 5
b_treat <- 2
icc <- 0.5
v_overall <- 10
n_litters <- 12
pups_litter <- 4
my_data <- data_generator(b_0 = b_0, b_treat = b_treat,
icc = icc, v_overall = v_overall,
n_litters = n_litters,
pups_litter = pups_litter)
outcome <- my_data$y
treatment <- my_data$treatment
litter <- my_data$litter
var_explained_by_treat(outcome = outcome,
treatment = treatment,
litter = litter)
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