From a7dcf5719c1be843cf76491ef06ce57e13a917fa Mon Sep 17 00:00:00 2001 From: github-actions <41898282+github-actions[bot]@users.noreply.github.com> Date: Sat, 21 Jan 2023 23:00:34 +0000 Subject: [PATCH] Built site for AMR: 1.8.2.9096@af139a3 --- articles/AMR.html | 534 +++++++++--------- .../AMR_files/figure-html/disk_plots-1.png | Bin 38785 -> 39285 bytes .../figure-html/disk_plots_mo_ab-1.png | Bin 51199 -> 53893 bytes .../AMR_files/figure-html/mic_plots-1.png | Bin 28685 -> 27774 bytes .../AMR_files/figure-html/mic_plots-2.png | Bin 37491 -> 38365 bytes .../figure-html/mic_plots_mo_ab-1.png | Bin 38348 -> 38330 bytes .../figure-html/mic_plots_mo_ab-2.png | Bin 49145 -> 51422 bytes articles/AMR_files/figure-html/plot 1-1.png | Bin 41727 -> 41820 bytes articles/AMR_files/figure-html/plot 3-1.png | Bin 28428 -> 28447 bytes articles/AMR_files/figure-html/plot 4-1.png | Bin 78241 -> 78242 bytes articles/AMR_files/figure-html/plot 5-1.png | Bin 49833 -> 49857 bytes articles/MDR.html | 54 +- pkgdown.yml | 2 +- reference/Rplot005.png | Bin 12814 -> 13199 bytes reference/Rplot006.png | Bin 12333 -> 12685 bytes reference/Rplot007.png | Bin 12871 -> 13091 bytes reference/Rplot008.png | Bin 18490 -> 16835 bytes reference/Rplot009.png | Bin 8122 -> 8406 bytes reference/age.html | 20 +- reference/as.sir.html | 20 +- reference/get_episode.html | 126 +++-- reference/kurtosis.html | 4 +- reference/mean_amr_distance.html | 94 +-- reference/plot-1.png | Bin 27590 -> 26936 bytes reference/plot-2.png | Bin 27551 -> 27622 bytes reference/plot-3.png | Bin 28474 -> 28569 bytes reference/plot-4.png | Bin 39490 -> 38817 bytes reference/plot-5.png | Bin 39142 -> 38842 bytes reference/plot-6.png | Bin 37760 -> 37603 bytes reference/plot-7.png | Bin 37252 -> 36113 bytes reference/plot-8.png | Bin 55397 -> 52964 bytes reference/plot-9.png | Bin 24724 -> 26145 bytes reference/random.html | 32 +- reference/skewness.html | 2 +- search.json | 2 +- 35 files changed, 445 insertions(+), 445 deletions(-) diff --git a/articles/AMR.html b/articles/AMR.html index 2bda4a4c..72ceed37 100644 --- a/articles/AMR.html +++ b/articles/AMR.html @@ -380,12 +380,12 @@ data set:
So only 61.8% is suitable for resistance analysis! We can now filter +
So only 61.6% is suitable for resistance analysis! We can now filter
on it with the filter()
function, also from the
dplyr
package:
@@ -634,25 +634,25 @@ on it with the data_1st <- data %>%
filter_first_isolate()
# Including isolates from ICU.
So we end up with 12,360 isolates for analysis. Now our data looks +
So we end up with 12,319 isolates for analysis. Now our data looks like:
head(data_1st)
2 | -2010-06-25 | -F2 | +1 | +2013-10-31 | +J1 | Hospital A | B_ESCHR_COLI | S | S | -R | S | +I | M | Gram-negative | Escherichia | @@ -689,79 +689,79 @@ like:TRUE | |||||||
3 | -2011-12-31 | -A5 | -Hospital D | -B_ESCHR_COLI | +2 | +2014-11-26 | +I8 | +Hospital A | +B_STPHY_AURS | R | +R | +R | +R | +M | +Gram-positive | +Staphylococcus | +aureus | +TRUE | +|||||
4 | +2013-01-05 | +Q3 | +Hospital C | +B_KLBSL_PNMN | +R | +R | +I | S | +F | +Gram-negative | +Klebsiella | +pneumoniae | +TRUE | +||||||||||
5 | +2017-12-24 | +E9 | +Hospital B | +B_STPHY_AURS | +I | S | +I | S | M | +Gram-positive | +Staphylococcus | +aureus | +TRUE | +||||||||||
7 | +2014-12-06 | +Q7 | +Hospital A | +B_ESCHR_COLI | +I | +S | +R | +S | +F | Gram-negative | Escherichia | coli | TRUE | ||||||||||
5 | -2014-05-11 | -S9 | +|||||||||||||||||||||
10 | +2014-08-11 | +X6 | Hospital B | B_ESCHR_COLI | -S | -S | -S | -R | -F | -Gram-negative | -Escherichia | -coli | -TRUE | -||||||||||
6 | -2011-02-06 | -S9 | -Hospital A | -B_ESCHR_COLI | -R | -R | -I | -S | -F | -Gram-negative | -Escherichia | -coli | -TRUE | -||||||||||
8 | -2014-02-12 | -E6 | -Hospital A | -B_ESCHR_COLI | R | S | +I | R | -I | -M | -Gram-negative | -Escherichia | -coli | -TRUE | -|||||||||
9 | -2015-08-18 | -Q1 | -Hospital D | -B_ESCHR_COLI | -I | -I | -I | -I | F | Gram-negative | Escherichia | @@ -801,8 +801,8 @@ readable:||||||||||||
1 | Escherichia coli | -5,843 | -47.27% | -5,843 | -47.27% | +5,888 | +47.80% | +5,888 | +47.80% | ||||||||||||||
2 | Staphylococcus aureus | -3,316 | -26.83% | -9,159 | -74.10% | +3,213 | +26.08% | +9,101 | +73.88% | ||||||||||||||
3 | Streptococcus pneumoniae | -1,866 | -15.10% | -11,025 | +1,887 | +15.32% | +10,988 | 89.20% | |||||||||||||||
4 | Klebsiella pneumoniae | -1,335 | +1,331 | 10.80% | -12,360 | +12,319 | 100.00% | ||||||||||||||||
2014-05-11 | -S9 | +2014-11-26 | +I8 | +Hospital A | +B_STPHY_AURS | +R | +R | +R | +R | +M | +Gram-positive | +Staphylococcus | +aureus | +TRUE | +|||||||||
2014-08-11 | +X6 | Hospital B | B_ESCHR_COLI | +R | S | -S | -S | +I | R | F | Gram-negative | @@ -916,13 +931,28 @@ antibiotic class they are in:coli | TRUE | ||||||||||
2017-09-06 | -N1 | +||||||||||||||||||||||
2015-06-18 | +D8 | Hospital A | +B_ESCHR_COLI | +S | +S | +S | +R | +M | +Gram-negative | +Escherichia | +coli | +TRUE | +|||||||||||
2017-10-11 | +L2 | +Hospital B | B_KLBSL_PNMN | R | -S | +I | S | R | M | @@ -932,65 +962,35 @@ antibiotic class they are in:TRUE | |||||||||||||
2014-10-21 | -U6 | -Hospital C | -B_STRPT_PNMN | -S | -S | -S | +2011-02-28 | +B10 | +Hospital B | +B_ESCHR_COLI | R | -F | -Gram-positive | -Streptococcus | -pneumoniae | +S | +I | +R | +M | +Gram-negative | +Escherichia | +coli | TRUE |
2016-07-17 | -T2 | -Hospital A | +2012-10-28 | +L6 | +Hospital B | B_STPHY_AURS | -I | +R | +R | S | R | -R | -F | +M | Gram-positive | Staphylococcus | aureus | TRUE | |||||
2014-09-22 | -F8 | -Hospital C | -B_ESCHR_COLI | -R | -R | -R | -R | -M | -Gram-negative | -Escherichia | -coli | -TRUE | -|||||||||||
2014-04-21 | -E7 | -Hospital D | -B_ESCHR_COLI | -I | -S | -S | -R | -M | -Gram-negative | -Escherichia | -coli | -TRUE | -
If you want to get a quick glance of the number of isolates in @@ -1013,50 +1013,50 @@ different bug/drug combinations, you can use the
proportion_SI()
, equa
own:
data_1st %>% resistance(AMX)
-# [1] 0.5817152
Or can be used in conjunction with group_by()
and
summarise()
, both from the dplyr
package:
@@ -1152,19 +1152,19 @@ own:Hospital A -0.5845627 +0.5808320 Hospital B -0.5830477 +0.5845366 Hospital C -0.5790359 +0.5761047 @@ -1189,23 +1189,23 @@ all isolates available for every group (i.e. values S, I or R): Hospital D -0.5767790 +0.5873016 Hospital A -0.5845627 -3796 +0.5808320 +3798 Hospital B -0.5830477 -4377 +0.5845366 +4294 Hospital C -0.5790359 -1784 +0.5761047 +1833 @@ -1230,27 +1230,27 @@ therapies very easily: Hospital D -0.5767790 -2403 +0.5873016 +2394 Escherichia -0.6667808 -0.6548006 -0.8867020 +0.6621943 +0.6443614 +0.8773777 Klebsiella -0.6681648 -0.6749064 -0.8936330 +0.6626597 +0.6543952 +0.8918107 Staphylococcus -0.6628468 -0.6619421 -0.8808806 +0.6644880 +0.6461251 +0.8801743 @@ -1278,23 +1278,23 @@ classes, use a antibiotic class selector such as Streptococcus -0.4764202 +0.4886063 0.0000000 -0.4764202 +0.4886063 Hospital A -58.5% -36.8% +58.1% +36.1% Hospital B -58.3% -36.2% +58.5% +36.4% Hospital C -57.9% -37.7% +57.6% +36.2% @@ -1410,18 +1410,16 @@ classes) Hospital D -57.7% -34.5% +58.7% +36.9% <mic>
and<disk>
:mic_values <- random_mic(size = 100) mic_values # Class 'mic' -# [1] 0.002 64 16 0.125 2 64 8 0.025 0.01 -# [10] 0.002 128 0.5 1 0.01 0.005 >=256 0.0625 4 -# [19] 64 0.01 128 2 0.25 0.5 0.0625 64 8 -# [28] >=256 8 0.0625 0.5 0.005 0.025 2 0.005 4 -# [37] 64 <=0.001 0.01 1 <=0.001 0.0625 1 64 32 -# [46] 0.5 0.005 4 0.25 0.01 64 0.5 <=0.001 0.25 -# [55] <=0.001 1 0.002 4 32 0.005 4 128 <=0.001 -# [64] 0.025 0.25 <=0.001 64 <=0.001 0.0625 128 >=256 8 -# [73] 2 0.125 >=256 8 0.005 >=256 0.125 16 2 -# [82] 2 0.025 64 >=256 <=0.001 32 >=256 2 2 -# [91] 64 0.0625 >=256 0.002 0.025 0.125 64 0.01 0.002 -# [100] 0.5
# base R:
plot(mic_values)
disk_values <- random_disk(size = 100, mo = "E. coli", ab = "cipro")
disk_values
# Class 'disk'
-# [1] 31 28 26 25 25 26 25 19 31 31 30 27 23 29 18 31 21 18 31 19 29 24 20 28 18
-# [26] 28 30 22 18 20 22 19 26 25 29 26 26 31 17 17 18 26 25 26 30 20 27 20 28 20
-# [51] 17 20 30 23 18 31 23 18 22 20 24 31 19 27 18 21 25 25 22 26 21 29 26 24 20
-# [76] 24 20 31 22 18 23 26 28 20 26 20 17 28 31 24 31 28 21 19 26 26 22 24 18 31
+# [1] 30 20 18 25 20 24 23 23 19 30 23 27 24 19 18 25 21 26 21 26 29 18 25 29 31
+# [26] 19 25 30 19 24 25 26 21 22 28 17 24 17 31 28 20 29 31 21 29 18 25 19 25 22
+# [51] 24 27 29 27 19 26 20 27 24 18 22 22 26 31 19 24 22 29 20 22 31 19 22 21 18
+# [76] 22 17 23 21 20 19 28 21 24 23 25 30 26 26 17 17 20 18 28 24 18 25 29 17 27
# base R:
plot(disk_values, mo = "E. coli", ab = "cipro")
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