emmeans package - Rounding to 1 decimal point & displaying 95% CI for pairwise_diff

[graceahey]

I would like all values to be rounded to 1 decimal place in em_means, and the 95% CI to be dipslayed using pairwise difference in the following code - this is still displaying fully rounded numbers for em_means & no 95% CI (just SE) for pairwise_diff

em_means <- emmeans(ComPAS_MUAC115_LinearGrowth_ForAnalysis_completecases_2.1, specs = ~ control_str2, digits=1)

# Calculate pairwise differences between groups
pairwise_diff <- pairs(em_means, conf.level=0.95, digits=1)

# Display the estimated means and pairwise differences
print(em_means)
print(pairwise_diff)

[technocrat]

library(emmeans)
warp.lm <- lm(breaks ~ wool * tension, data = warpbreaks)
out <- emmeans (warp.lm,  ~ wool | tension)
out
#> tension = L:
#>  wool emmean   SE df lower.CL upper.CL
#>  A      44.6 3.65 48     37.2     51.9
#>  B      28.2 3.65 48     20.9     35.6
#> 
#> tension = M:
#>  wool emmean   SE df lower.CL upper.CL
#>  A      24.0 3.65 48     16.7     31.3
#>  B      28.8 3.65 48     21.4     36.1
#> 
#> tension = H:
#>  wool emmean   SE df lower.CL upper.CL
#>  A      24.6 3.65 48     17.2     31.9
#>  B      18.8 3.65 48     11.4     26.1
#> 
#> Confidence level used: 0.95
print(test(out), digits = 1)
#> tension = L:
#>  wool emmean SE df t.ratio p.value
#>  A        45  4 48  12.218  <.0001
#>  B        28  4 48   7.739  <.0001
#> 
#> tension = M:
#>  wool emmean SE df t.ratio p.value
#>  A        24  4 48   6.581  <.0001
#>  B        29  4 48   7.891  <.0001
#> 
#> tension = H:
#>  wool emmean SE df t.ratio p.value
#>  A        25  4 48   6.734  <.0001
#>  B        19  4 48   5.149  <.0001

^{Created on 2023-10-05 with reprex v2.0.2}

To remove the CI, I don't get those. Provide a reprex (see the FAQ) to show how it is appearing for you?