@@ -243,21 +243,21 @@ make the structure of your data generally look like this:
-
2023-03-16
+
2023-03-20
abcd
Escherichia coli
S
S
-
2023-03-16
+
2023-03-20
abcd
Escherichia coli
S
R
-
2023-03-16
+
2023-03-20
efgh
Escherichia coli
R
@@ -962,111 +962,111 @@ antibiograms:
Cardial
-E. coli (386-386)
-
61
+E. coli (410-410)
+
64
58
-
57
+
59
62
Respiratory
-E. coli (400-400)
-
65
-
61
-
56
-
62
+E. coli (430-430)
+
64
+
57
+
59
+
63
Rheumatic
-E. coli (464-464)
-
65
+E. coli (410-410)
+
63
+
60
56
-
59
-
65
+
64
Cardial
-K. pneumoniae (104-104)
+K. pneumoniae (96-96)
+
65
+
45
+
57
+
62
+
+
+
Respiratory
+
+K. pneumoniae (108-108)
+
68
+
62
+
64
+
60
+
+
+
Rheumatic
+
+K. pneumoniae (112-112)
+
57
+
50
+
55
+
58
+
+
+
Cardial
+
+S. aureus (220-220)
+
64
+
61
+
57
+
63
+
+
+
Respiratory
+
+S. aureus (198-198)
64
52
-
58
-
62
-
-
-
Respiratory
-
-K. pneumoniae (94-94)
-
66
-
45
-
60
-
62
-
-
-
Rheumatic
-
-K. pneumoniae (118-118)
-
59
-
59
-
59
-
58
-
-
-
Cardial
-
-S. aureus (230-230)
-
63
57
-
56
-
66
-
-
-
Respiratory
-
-S. aureus (222-222)
-
66
-
58
-
57
-
60
-
-
-
Rheumatic
-
-S. aureus (209-209)
65
-
56
-
60
-
63
-
-
-
Cardial
-
-S. pneumoniae (110-110)
-
68
-
57
-
60
-
64
-
Respiratory
-
-S. pneumoniae (142-142)
-
67
-
62
-
65
-
72
-
-
Rheumatic
-S. pneumoniae (147-147)
+S. aureus (243-243)
+
65
+
57
58
-
49
-
54
61
+
+
Cardial
+
+S. pneumoniae (124-124)
+
62
+
56
+
60
+
63
+
+
+
Respiratory
+
+S. pneumoniae (141-141)
+
62
+
52
+
58
+
65
+
+
+
Rheumatic
+
+S. pneumoniae (134-134)
+
67
+
60
+
61
+
69
+
@@ -1090,45 +1090,45 @@ antibiograms:
Cardial
-
Gram-negative (490-490)
-
62
-
56
+
Gram-negative (506-506)
+
64
+
55
62
Respiratory
-
Gram-negative (494-494)
+
Gram-negative (538-538)
65
58
+
63
+
+
+
Rheumatic
+
Gram-negative (522-522)
+
62
+
58
62
-
-
Rheumatic
-
Gram-negative (582-582)
-
64
-
57
-
63
-
Cardial
-
Gram-positive (340-340)
-
64
-
57
-
65
+
Gram-positive (344-344)
+
63
+
59
+
63
Respiratory
-
Gram-positive (364-364)
-
66
-
59
+
Gram-positive (339-339)
+
63
+
52
65
Rheumatic
-
Gram-positive (356-356)
-
62
-
53
-
62
+
Gram-positive (377-377)
+
66
+
58
+
64
@@ -1152,45 +1152,45 @@ antibiograms:
Cardial
-
Gram-negative (490-490)
-
62
+
Gram-negative (506-506)
+
64
76
-
75
+
74
Respiratory
-
Gram-negative (494-494)
+
Gram-negative (538-538)
65
+
78
77
-
75
Rheumatic
-
Gram-negative (582-582)
-
64
-
75
-
75
+
Gram-negative (522-522)
+
62
+
74
+
73
Cardial
-
Gram-positive (340-340)
-
64
+
Gram-positive (344-344)
+
63
75
75
Respiratory
-
Gram-positive (364-364)
-
66
-
80
+
Gram-positive (339-339)
+
63
77
+
74
Rheumatic
-
Gram-positive (356-356)
-
62
+
Gram-positive (377-377)
+
66
+
79
77
-
74
diff --git a/articles/AMR_files/figure-html/unnamed-chunk-13-1.png b/articles/AMR_files/figure-html/unnamed-chunk-13-1.png
index 317e8baa..44331332 100644
Binary files a/articles/AMR_files/figure-html/unnamed-chunk-13-1.png and b/articles/AMR_files/figure-html/unnamed-chunk-13-1.png differ
diff --git a/articles/EUCAST.html b/articles/EUCAST.html
index 6aef3cf7..55906050 100644
--- a/articles/EUCAST.html
+++ b/articles/EUCAST.html
@@ -38,7 +38,7 @@
AMR (for R)
- 2.0.0.9003
+ 2.0.0.9004
diff --git a/articles/MDR.html b/articles/MDR.html
index a182a94d..1ccdd7d3 100644
--- a/articles/MDR.html
+++ b/articles/MDR.html
@@ -38,7 +38,7 @@
AMR (for R)
- 2.0.0.9003
+ 2.0.0.9004
@@ -385,19 +385,19 @@ names or codes, this would have worked exactly the same way:
head(my_TB_data)#> rifampicin isoniazid gatifloxacin ethambutol pyrazinamide moxifloxacin
-#> 1 R R R I R I
-#> 2 I R S I I R
-#> 3 I R I I I R
-#> 4 R I I S S I
-#> 5 I R R R I S
-#> 6 S S S R I R
+#> 1 I R I I S R
+#> 2 I R R S S I
+#> 3 I R S R R R
+#> 4 R R I R I R
+#> 5 R R R R R S
+#> 6 S R S S R S#> kanamycin#> 1 I
-#> 2 R
-#> 3 I
+#> 2 I
+#> 3 S#> 4 S
-#> 5 S
-#> 6 I
+#> 5 R
+#> 6 S
We can now add the interpretation of MDR-TB to our data set. You can
use:
@@ -257,7 +257,7 @@ data using a custom made website. The webdesign knowledge needed
R has a huge community.
Many R users just ask questions on websites like StackOverflow.com, the largest
-online community for programmers. At the time of writing, 484 006
+online community for programmers. At the time of writing, 484 734
R-related questions have already been asked on this platform (that
covers questions and answers for any programming language). In my own
experience, most questions are answered within a couple of
diff --git a/articles/WHONET.html b/articles/WHONET.html
index 4f2c590f..78b2123f 100644
--- a/articles/WHONET.html
+++ b/articles/WHONET.html
@@ -38,7 +38,7 @@
AMR (for R)
- 2.0.0.9003
+ 2.0.0.9004
diff --git a/articles/datasets.html b/articles/datasets.html
index d30767c2..87a380d9 100644
--- a/articles/datasets.html
+++ b/articles/datasets.html
@@ -38,7 +38,7 @@
AMR (for R)
- 2.0.0.9003
+ 2.0.0.9004
@@ -176,7 +176,7 @@