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reference/antibiogram.md
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@@ -660,7 +660,7 @@ wisca(example_isolates,
#> # Simulations: 1000 per stratum
#> `Amoxicillin/clavulanic acid` Amoxicillin/clavulanic …¹ Amoxicillin/clavulan…²
#> <chr> <chr> <chr>
#> 1 74.2% (72.1-76.1%) 88.8% (87.2-90.3%) 90.8% (89.3-92.1%)
#> 1 74.2% (72.2-76.1%) 88.8% (87.1-90.3%) 90.8% (89.3-92.2%)
#> # ℹ abbreviated names: ¹​`Amoxicillin/clavulanic acid + Ciprofloxacin`,
#> # ²​`Amoxicillin/clavulanic acid + Gentamicin`
#> # Use `ggplot2::autoplot()` or base R `plot()` to create a plot of this antibiogram,
@@ -679,7 +679,7 @@ antibiogram(example_isolates,
#> # Simulations: 1000 per stratum
#> `Amoxicillin/clavulanic acid` Amoxicillin/clavulanic …¹ Amoxicillin/clavulan…²
#> <chr> <chr> <chr>
#> 1 74.2% (72.2-76.1%) 88.8% (87.1-90.4%) 90.8% (89.4-92.2%)
#> 1 74.1% (72.1-75.9%) 88.8% (87.1-90.3%) 90.8% (89.5-92.1%)
#> # ℹ abbreviated names: ¹​`Amoxicillin/clavulanic acid + Ciprofloxacin`,
#> # ²​`Amoxicillin/clavulanic acid + Gentamicin`
#> # Use `ggplot2::autoplot()` or base R `plot()` to create a plot of this antibiogram,
@@ -699,8 +699,8 @@ out
#> # Simulations: 1000 per stratum
#> `Syndromic Group` `Piperacillin/tazobactam` Piperacillin/tazobactam + Gentam…¹
#> <chr> <chr> <chr>
#> 1 Clinical 74.5% (68.8-79.8%) 93.6% (91.9-95.1%)
#> 2 ICU 57.1% (48.2-65.9%) 86.7% (83.3-89.9%)
#> 1 Clinical 74.7% (69-80.3%) 93.6% (91.9-95.1%)
#> 2 ICU 57% (48.2-66%) 86.7% (83.5-89.7%)
#> 3 Outpatient 57.5% (46-68.7%) 76.5% (70.6-82.2%)
#> # ℹ abbreviated name: ¹​`Piperacillin/tazobactam + Gentamicin`
#> # ℹ 1 more variable: `Piperacillin/tazobactam + Tobramycin` <chr>
@@ -729,14 +729,14 @@ if (requireNamespace("dplyr")) {
#> # Simulations: 1000 per stratum
#> age_group gender `Piperacillin/tazobactam` Piperacillin/tazobactam + Gentami…¹
#> <chr> <chr> <chr> <chr>
#> 1 0-24 F 57.7% (29.5-82.6%) 70.5% (45.9-89.1%)
#> 2 0-24 M 59.1% (33-84.2%) 76.1% (55.7-90.6%)
#> 3 25-49 F 67.4% (43.3-90.5%) 93.8% (87.8-97.9%)
#> 4 25-49 M 56.8% (27.5-86.5%) 90.9% (82.4-96.8%)
#> 5 50-74 F 68% (53.3-82.3%) 96.9% (94.7-98.5%)
#> 6 50-74 M 67.1% (56.5-77.5%) 96.8% (94.2-98.8%)
#> 7 75+ F 73.3% (62.9-83.6%) 97.7% (96-98.9%)
#> 8 75+ M 74% (64.2-83.1%) 97.9% (96.1-99.1%)
#> 1 0-24 F 57.7% (29.5-82.1%) 70.5% (46.1-89%)
#> 2 0-24 M 59.3% (33.1-84.2%) 76.2% (55.7-90.9%)
#> 3 25-49 F 67.4% (43.3-90.4%) 93.8% (87.8-97.9%)
#> 4 25-49 M 56.9% (27.1-86.5%) 90.9% (82.6-96.8%)
#> 5 50-74 F 68.1% (53.3-82.6%) 96.9% (94.7-98.5%)
#> 6 50-74 M 67.1% (56.3-77.3%) 96.8% (94.3-98.8%)
#> 7 75+ F 73.3% (62.9-83.7%) 97.7% (96.1-98.9%)
#> 8 75+ M 74% (64.1-82.9%) 97.9% (96-99%)
#> # ℹ abbreviated name: ¹​`Piperacillin/tazobactam + Gentamicin`
#> # ℹ 1 more variable: `Piperacillin/tazobactam + Tobramycin` <chr>
#> # Use `ggplot2::autoplot()` or base R `plot()` to create a plot of this antibiogram,
@@ -919,8 +919,8 @@ if (requireNamespace("knitr")) {
#>
#> |Syndromic Group |Piperacillin/tazobactam |
#> |:---------------|:-----------------------|
#> |Clinical |74.6% (68.9-80%) |
#> |ICU |57% (49.1-65.8%) |
#> |Clinical |74.7% (68.7-79.8%) |
#> |ICU |56.8% (48.9-65.7%) |
#> |Outpatient |57.4% (45.6-68.4%) |