@@ -260,21 +260,21 @@ make the structure of your data generally look like this:
-
2023-06-26
+
2023-07-08
abcd
Escherichia coli
S
S
-
2023-06-26
+
2023-07-08
abcd
Escherichia coli
S
R
-
2023-06-26
+
2023-07-08
efgh
Escherichia coli
R
@@ -392,8 +392,8 @@ taxonomic codes. Let’s check this:
#> (0.600), Eggerthia catenaformis (0.591), Eubacterium callanderi#> (0.591), Enterocloster citroniae (0.587), Eubacterium cylindroides#> (0.583), Enterococcus casseliflavus (0.577), Enterobacter cloacae
-#> cloacae (0.571), Ehrlichia canis (0.567), and Enterobacter cloacae
-#> dissolvens (0.565)
+#> cloacae (0.571), Enterobacter cloacae complex (0.571), and Ehrlichia
+#> canis (0.567)#> --------------------------------------------------------------------------------#> "K. pneumoniae" -> Klebsiella pneumoniae (B_KLBSL_PNMN, 0.786)#> Also matched: Klebsiella pneumoniae ozaenae (0.707), Klebsiella
diff --git a/articles/EUCAST.html b/articles/EUCAST.html
index 7170868f..49103e80 100644
--- a/articles/EUCAST.html
+++ b/articles/EUCAST.html
@@ -38,7 +38,7 @@
AMR (for R)
- 2.0.0.9026
+ 2.0.0.9028
diff --git a/articles/MDR.html b/articles/MDR.html
index 4ef0f664..e3057d39 100644
--- a/articles/MDR.html
+++ b/articles/MDR.html
@@ -38,7 +38,7 @@
AMR (for R)
- 2.0.0.9026
+ 2.0.0.9028
@@ -402,19 +402,19 @@ names or codes, this would have worked exactly the same way:
head(my_TB_data)#> rifampicin isoniazid gatifloxacin ethambutol pyrazinamide moxifloxacin
-#> 1 I R S R R R
-#> 2 S I R S I R
-#> 3 I R R S R I
-#> 4 R I S R R R
-#> 5 R R I I R S
-#> 6 R S I R S S
+#> 1 S R R R I I
+#> 2 I R I I S I
+#> 3 I R R I I S
+#> 4 R I I S S I
+#> 5 S I R S I I
+#> 6 S S I I R I#> kanamycin
-#> 1 S
+#> 1 R#> 2 S
-#> 3 I
-#> 4 I
+#> 3 S
+#> 4 S#> 5 R
-#> 6 S
+#> 6 R
We can now add the interpretation of MDR-TB to our data set. You can
use:
A data set with 42 599 rows and 12 columns, containing the following
-column names: guideline, method, site, mo,
-rank_index, ab, ref_tbl, disk_dose,
-breakpoint_S, breakpoint_R, ecoff, and
+
A data set with 28 454 rows and 12 columns, containing the following
+column names: guideline, type, method, site,
+mo, rank_index, ab, ref_tbl,
+disk_dose, breakpoint_S, breakpoint_R, and
uti.
This data set is in R available as clinical_breakpoints,
after you load the AMR package.
-
It was last updated on 22 June 2023 13:10:59 UTC. Find more info
-about the structure of this data set here.
+
It was last updated on 8 July 2023 15:30:05 UTC. Find more info about
+the structure of this data set here.
This data set contains commonly used codes for microorganisms, from
+laboratory systems and WHONET.
+
+
+
Example content
+
+
+
+
code
+
mo
+
+
+
+
1011
+
B_GRAMP
+
+
+
1012
+
B_GRAMP
+
+
+
1013
+
B_GRAMN
+
+
+
1014
+
B_GRAMN
+
+
+
1015
+
F_YEAST
+
+
+
103
+
B_ESCHR_COLI
+
+
+
+
diff --git a/articles/index.html b/articles/index.html
index 0c06395d..fd4ef6f0 100644
--- a/articles/index.html
+++ b/articles/index.html
@@ -10,7 +10,7 @@
AMR (for R)
- 2.0.0.9026
+ 2.0.0.9028
diff --git a/articles/other_pkg.html b/articles/other_pkg.html
index 7293d6f6..b3bb029c 100644
--- a/articles/other_pkg.html
+++ b/articles/other_pkg.html
@@ -38,7 +38,7 @@
AMR (for R)
- 2.0.0.9026
+ 2.0.0.9028
diff --git a/articles/resistance_predict.html b/articles/resistance_predict.html
index a721f722..d813e2c3 100644
--- a/articles/resistance_predict.html
+++ b/articles/resistance_predict.html
@@ -38,7 +38,7 @@
AMR (for R)
- 2.0.0.9026
+ 2.0.0.9028
diff --git a/articles/welcome_to_AMR.html b/articles/welcome_to_AMR.html
index dfcf5968..141636f4 100644
--- a/articles/welcome_to_AMR.html
+++ b/articles/welcome_to_AMR.html
@@ -38,7 +38,7 @@
AMR (for R)
- 2.0.0.9026
+ 2.0.0.9028
diff --git a/authors.html b/authors.html
index e8859234..7c0841d6 100644
--- a/authors.html
+++ b/authors.html
@@ -10,7 +10,7 @@
AMR (for R)
- 2.0.0.9026
+ 2.0.0.9028
diff --git a/extra.css b/extra.css
index 819146a5..2cd164a7 100644
--- a/extra.css
+++ b/extra.css
@@ -1,12 +1,12 @@
/*
# ==================================================================== #
-# TITLE #
+# TITLE: #
# AMR: An R Package for Working with Antimicrobial Resistance Data #
# #
-# SOURCE #
+# SOURCE CODE: #
# https://github.com/msberends/AMR #
# #
-# CITE AS #
+# PLEASE CITE THIS SOFTWARE AS: #
# Berends MS, Luz CF, Friedrich AW, Sinha BNM, Albers CJ, Glasner C #
# (2022). AMR: An R Package for Working with Antimicrobial Resistance #
# Data. Journal of Statistical Software, 104(3), 1-31. #
diff --git a/extra.js b/extra.js
index 8ec8be52..3faff1e8 100644
--- a/extra.js
+++ b/extra.js
@@ -1,12 +1,12 @@
/*
# ==================================================================== #
-# TITLE #
+# TITLE: #
# AMR: An R Package for Working with Antimicrobial Resistance Data #
# #
-# SOURCE #
+# SOURCE CODE: #
# https://github.com/msberends/AMR #
# #
-# CITE AS #
+# PLEASE CITE THIS SOFTWARE AS: #
# Berends MS, Luz CF, Friedrich AW, Sinha BNM, Albers CJ, Glasner C #
# (2022). AMR: An R Package for Working with Antimicrobial Resistance #
# Data. Journal of Statistical Software, 104(3), 1-31. #
diff --git a/index.html b/index.html
index 9cad0e22..5fe53c55 100644
--- a/index.html
+++ b/index.html
@@ -42,7 +42,7 @@
AMR (for R)
- 2.0.0.9026
+ 2.0.0.9028
diff --git a/news/index.html b/news/index.html
index bb00da07..7dbee0c0 100644
--- a/news/index.html
+++ b/news/index.html
@@ -10,7 +10,7 @@
AMR (for R)
- 2.0.0.9026
+ 2.0.0.9028
@@ -159,12 +159,13 @@
-
AMR 2.0.0.9026
+
AMR 2.0.0.9028
-
New
-
Clinical breakpoints and intrinsic resistance of EUCAST 2023 and CLSI 2023 have been added for as.sir(). EUCAST 2023 (v13.0) is now the new default guideline for all MIC and disks diffusion interpretations, and for eucast_rules() to apply EUCAST Expert Rules.
+
New
+
Clinical breakpoints and intrinsic resistance of EUCAST 2023 and CLSI 2023 have been added for as.sir(). EUCAST 2023 (v13.0) is now the new default guideline for all MIC and disks diffusion interpretations
The EUCAST dosage guideline of v13.0 has been added to the dosage data set
-
ECOFF: the clinical_breakpoints data set now contains the new column ecoff, in which the epidemiological cut-off (ECOFF) are available. These ECOFFs can be used for MIC/disk interpretation using as.sir(..., ecoff = TRUE), which is an important new addition for veterinary microbiology.
+
ECOFF: the clinical_breakpoints data set now contains epidemiological cut-off (ECOFF) values. These ECOFFs can be used for MIC/disk interpretation using as.sir(..., breakpoint_type = "ECOFF"), which is an important new addition for veterinary microbiology.
+
Added support for 29 species groups / complexes. They are gathered in a new data set microorganisms.groups and are used in clinical breakpoint interpretation. For example, CLSI 2023 contains breakpoints for the RGM group (Rapidly Growing Mycobacterium, containing over 80 species) which is now supported by our package.
Added oxygen tolerance from BacDive to over 25,000 bacteria in the microorganisms data set