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:

- + - + date @@ -400,70 +400,70 @@ data set:

-2011-09-07 -C1 +2013-10-31 +J1 Hospital A Escherichia coli -R -I +S I +S I M -2010-06-25 -F2 +2014-11-26 +I8 Hospital A -Escherichia coli -S -S +Staphylococcus aureus +I +R +R R -S M -2011-12-31 -A5 -Hospital D +2015-03-23 +L5 +Hospital A Escherichia coli +S R -S -S -S +R +I M -2013-12-18 -H2 +2013-01-05 +Q3 Hospital C Klebsiella pneumoniae -I +R +R I S -R -M +F -2014-05-11 -S9 +2017-12-24 +E9 Hospital B -Escherichia coli +Staphylococcus aureus +I S +I S -S -R -F +M -2011-02-06 -S9 +2017-04-23 +E8 Hospital A -Escherichia coli -I +Streptococcus pneumoniae +S R I -S -F +R +M @@ -499,16 +499,16 @@ Longest: 1

1 M -10,446 -52.23% -10,446 -52.23% +10,481 +52.41% +10,481 +52.41% 2 F -9,554 -47.77% +9,519 +47.60% 20,000 100.00% @@ -621,9 +621,9 @@ takes into account the antimicrobial susceptibility test results using # Basing inclusion on all antimicrobial results, using a points threshold of # 2 # Including isolates from ICU. -# => Found 12,360 'phenotype-based' first isolates (61.8% of total where a +# => Found 12,319 'phenotype-based' first isolates (61.6% of total where a # microbial ID was available) -

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)
- +
--------++++++++ @@ -673,15 +673,15 @@ like:

- - - + + + - + @@ -689,79 +689,79 @@ like:

- - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + - - - - + + + + - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + - - - - - - - - - - - - - - - - - @@ -801,8 +801,8 @@ readable:

data_1st %>% freq(genus, species)

Frequency table

Class: character
-Length: 12,360
-Available: 12,360 (100%, NA: 0 = 0%)
+Length: 12,319
+Available: 12,319 (100%, NA: 0 = 0%)
Unique: 4

Shortest: 16
Longest: 24

@@ -827,33 +827,33 @@ Longest: 24

- - - - + + + + - - - - + + + + - - - + + + - + - + @@ -902,13 +902,28 @@ antibiotic class they are in:

- - + + + + + + + + + + + + + + + + + + - - + @@ -916,13 +931,28 @@ antibiotic class they are in:

- - - + + + + + + + + + + + + + + + + + + - + @@ -932,65 +962,35 @@ antibiotic class they are in:

- - - - - - - + + + + - - - - + + + + + + + - - - + + + - + + - - + - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
22010-06-25F212013-10-31J1 Hospital A B_ESCHR_COLI S SR SI M Gram-negative Escherichia TRUE
32011-12-31A5Hospital DB_ESCHR_COLI22014-11-26I8Hospital AB_STPHY_AURS RRRRMGram-positiveStaphylococcusaureusTRUE
42013-01-05Q3Hospital CB_KLBSL_PNMNRRI SFGram-negativeKlebsiellapneumoniaeTRUE
52017-12-24E9Hospital BB_STPHY_AURSI SI S MGram-positiveStaphylococcusaureusTRUE
72014-12-06Q7Hospital AB_ESCHR_COLIISRSF Gram-negative Escherichia coli TRUE
52014-05-11S9
102014-08-11X6 Hospital B B_ESCHR_COLISSSRFGram-negativeEscherichiacoliTRUE
62011-02-06S9Hospital AB_ESCHR_COLIRRISFGram-negativeEscherichiacoliTRUE
82014-02-12E6Hospital AB_ESCHR_COLI R SI RIMGram-negativeEscherichiacoliTRUE
92015-08-18Q1Hospital DB_ESCHR_COLIIIII F Gram-negative Escherichia
1 Escherichia coli5,84347.27%5,84347.27%5,88847.80%5,88847.80%
2 Staphylococcus aureus3,31626.83%9,15974.10%3,21326.08%9,10173.88%
3 Streptococcus pneumoniae1,86615.10%11,0251,88715.32%10,988 89.20%
4 Klebsiella pneumoniae1,3351,331 10.80%12,36012,319 100.00%
2014-05-11S92014-11-26I8Hospital AB_STPHY_AURSRRRRMGram-positiveStaphylococcusaureusTRUE
2014-08-11X6 Hospital B B_ESCHR_COLIR SSSI R F Gram-negative coli TRUE
2017-09-06N1
2015-06-18D8 Hospital AB_ESCHR_COLISSSRMGram-negativeEscherichiacoliTRUE
2017-10-11L2Hospital B B_KLBSL_PNMN RSI S R M TRUE
2014-10-21U6Hospital CB_STRPT_PNMNSSS2011-02-28B10Hospital BB_ESCHR_COLI RFGram-positiveStreptococcuspneumoniaeSIRMGram-negativeEscherichiacoli TRUE
2016-07-17T2Hospital A2012-10-28L6Hospital B B_STPHY_AURSIRR S RRFM Gram-positive Staphylococcus aureus TRUE
2014-09-22F8Hospital CB_ESCHR_COLIRRRRMGram-negativeEscherichiacoliTRUE
2014-04-21E7Hospital DB_ESCHR_COLIISSRMGram-negativeEscherichiacoliTRUE

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 E. coli AMX -1469 -1254 -3120 -5843 +1515 +1214 +3159 +5888 E. coli AMC -2702 -1194 -1947 -5843 +2728 +1171 +1989 +5888 E. coli CIP -1973 -1812 -2058 -5843 +1970 +1842 +2076 +5888 E. coli GEN -2020 -1806 -2017 -5843 +2001 +1793 +2094 +5888 K. pneumoniae AMX 0 0 -1335 -1335 +1331 +1331 K. pneumoniae AMC -599 -293 -443 -1335 +593 +289 +449 +1331 @@ -1078,34 +1078,34 @@ different bug/drug combinations, you can use the E. coli GEN -2020 -1806 -2017 -5843 +2001 +1793 +2094 +5888 K. pneumoniae GEN 471 -430 -434 -1335 +400 +460 +1331 S. aureus GEN -1109 -1086 -1121 -3316 +1094 +982 +1137 +3213 S. pneumoniae GEN 0 0 -1866 -1866 +1887 +1887 @@ -1137,7 +1137,7 @@ I (proportion_SI(), equa own:

 data_1st %>% resistance(AMX)
-# [1] 0.5817152
+# [1] 0.5826772

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 Hospital D -0.5767790 +0.5873016 @@ -1189,23 +1189,23 @@ all isolates available for every group (i.e. values S, I or R):

Hospital A -0.5845627 -3796 +0.5808320 +3798 Hospital B -0.5830477 -4377 +0.5845366 +4294 Hospital C -0.5790359 -1784 +0.5761047 +1833 Hospital D -0.5767790 -2403 +0.5873016 +2394 @@ -1230,27 +1230,27 @@ therapies very easily:

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 Streptococcus -0.4764202 +0.4886063 0.0000000 -0.4764202 +0.4886063 @@ -1278,23 +1278,23 @@ classes, use a antibiotic class selector such as 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% Hospital D -57.7% -34.5% +58.7% +36.9% @@ -1410,18 +1410,16 @@ classes) <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
+# [1] 64 0.125 64 4 256 0.01 0.125 2 128 0.002 +# [11] 2 0.125 0.01 0.01 8 0.0625 0.5 32 0.01 0.0625 +# [21] 8 16 32 16 0.001 0.005 4 128 0.025 128 +# [31] 2 256 0.5 8 0.25 256 16 0.025 0.001 32 +# [41] 16 2 16 0.025 1 32 64 4 16 32 +# [51] 0.005 0.025 0.001 0.025 64 2 0.125 1 0.5 0.125 +# [61] 16 0.002 0.25 16 0.002 4 0.5 2 128 128 +# [71] 8 1 0.002 32 0.0625 8 128 0.125 1 0.25 +# [81] 0.002 8 128 16 256 0.125 2 4 1 0.0625 +# [91] 4 0.025 16 0.5 64 0.002 128 0.0625 1 64
 # base R:
 plot(mic_values)
@@ -1455,10 +1453,10 @@ plotting:

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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    We can now add the interpretation of MDR-TB to our data set. You can use:

    @@ -428,40 +428,40 @@ Unique: 5

    1 Mono-resistant -3238 -64.76% -3238 -64.76% +3193 +63.86% +3193 +63.86% 2 Negative -994 -19.88% -4232 -84.64% +981 +19.62% +4174 +83.48% 3 Multi-drug-resistant -425 -8.50% -4657 -93.14% +472 +9.44% +4646 +92.92% 4 Poly-resistant -247 -4.94% -4904 -98.08% +262 +5.24% +4908 +98.16% 5 Extensively drug-resistant -96 -1.92% +92 +1.84% 5000 100.00% diff --git a/pkgdown.yml b/pkgdown.yml index 12d22678..c6c62f3c 100644 --- a/pkgdown.yml +++ b/pkgdown.yml @@ -11,7 +11,7 @@ articles: datasets: datasets.html resistance_predict: resistance_predict.html welcome_to_AMR: welcome_to_AMR.html -last_built: 2023-01-21T22:50Z +last_built: 2023-01-21T22:56Z urls: reference: https://msberends.github.io/AMR/reference article: https://msberends.github.io/AMR/articles diff --git a/reference/Rplot005.png b/reference/Rplot005.png index a2fd4d4a00092e05e533b175a5a9840f41ee14c8..7a3bb596690235310a2db430c3455c29aa5be70f 100644 GIT binary patch literal 13199 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     head(my_TB_data)
     #   rifampicin isoniazid gatifloxacin ethambutol pyrazinamide moxifloxacin
    -# 1          I         S            S          I            S            I
    -# 2          R         R            R          R            I            S
    -# 3          R         I            R          R            I            R
    -# 4          R         S            I          S            S            I
    -# 5          I         I            S          S            S            I
    -# 6          I         I            I          R            R            I
    +# 1          S         I            I          I            S            I
    +# 2          S         S            I          S            I            I
    +# 3          S         S            S          R            I            S
    +# 4          R         S            S          I            S            S
    +# 5          I         S            I          R            I            R
    +# 6          S         R            S          I            S            R
     #   kanamycin
    -# 1         S
    +# 1         R
     # 2         S
    -# 3         I
    +# 3         S
     # 4         R
    -# 5         I
    +# 5         S
     # 6         S