Show LS-means Hypothesis Tests and Contrasts

Extracts the contrasts which defines the LS-mean hypothesis tests.

# S3 method for class 'ls_means'
show_tests(object, fractions = FALSE, names = TRUE, ...)

Arguments

object

an ls_means object.

fractions

display contrasts as fractions rather than decimal numbers?

names

include row and column names of the contrasts matrices?

...

currently not used.

Value

a list of contrast matrices; one matrix for each model term.

See also

ls_means for computation of LS-means and show_tests for anova objects.

Author

Rune Haubo B. Christensen

Examples

data("cake", package="lme4")
model <- lmer(angle ~ recipe * temp + (1|recipe:replicate), cake)

# LS-means:
(lsm <- ls_means(model))
#> Least Squares Means table:
#> 
#>         Estimate Std. Error df t value   lower   upper  Pr(>|t|)    
#> recipeA  33.1222     1.7368 42  19.070 29.6172 36.6273 < 2.2e-16 ***
#> recipeB  31.6444     1.7368 42  18.220 28.1394 35.1495 < 2.2e-16 ***
#> recipeC  31.6000     1.7368 42  18.194 28.0949 35.1051 < 2.2e-16 ***
#> ---
#> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
#> 
#>   Confidence level: 95%
#>   Degrees of freedom method: Satterthwaite 

# Contrasts for LS-means estimates and hypothesis tests:
show_tests(lsm)
#> $recipe
#>         (Intercept) recipeB recipeC temp recipeB:temp recipeC:temp
#> recipeA           1       0       0  200            0            0
#> recipeB           1       1       0  200          200            0
#> recipeC           1       0       1  200            0          200
#>