From 702da574c0ceb54b45a0994747197b87d4314ede Mon Sep 17 00:00:00 2001 From: "Matthijs S. Berends" Date: Sun, 2 Jun 2019 19:50:22 +0200 Subject: [PATCH] website update --- _pkgdown.yml | 2 - docs/articles/AMR.html | 452 +++++++++--------- .../AMR_files/figure-html/plot 1-1.png | Bin 36024 -> 36084 bytes .../AMR_files/figure-html/plot 3-1.png | Bin 19261 -> 19260 bytes .../AMR_files/figure-html/plot 4-1.png | Bin 70005 -> 70010 bytes .../AMR_files/figure-html/plot 5-1.png | Bin 43343 -> 43344 bytes docs/articles/EUCAST.html | 4 +- docs/articles/G_test.html | 4 +- docs/articles/MDR.html | 62 +-- docs/articles/SPSS.html | 4 +- docs/articles/WHONET.html | 4 +- docs/articles/ab_property.html | 4 +- docs/articles/benchmarks.html | 78 +-- .../figure-html/unnamed-chunk-5-1.png | Bin 27537 -> 27148 bytes docs/articles/freq.html | 4 +- docs/articles/mo_property.html | 4 +- docs/extra.css | 6 - docs/extra.js | 15 +- docs/reference/AMR-deprecated.html | 2 +- docs/reference/WHOCC.html | 2 +- docs/reference/WHONET.html | 2 +- docs/reference/ab_property.html | 2 +- docs/reference/age.html | 2 +- docs/reference/age_groups.html | 2 +- docs/reference/antibiotics.html | 2 +- docs/reference/as.ab.html | 2 +- docs/reference/as.atc.html | 2 +- docs/reference/as.disk.html | 2 +- docs/reference/as.mic.html | 2 +- docs/reference/as.mo.html | 2 +- docs/reference/as.rsi.html | 2 +- docs/reference/atc_online.html | 2 +- docs/reference/availability.html | 2 +- docs/reference/catalogue_of_life_version.html | 2 +- docs/reference/count.html | 2 +- docs/reference/filter_ab_class.html | 2 +- docs/reference/first_isolate.html | 2 +- docs/reference/freq.html | 2 +- docs/reference/g.test.html | 2 +- docs/reference/ggplot_rsi.html | 2 +- docs/reference/guess_ab_col.html | 2 +- docs/reference/join.html | 2 +- docs/reference/key_antibiotics.html | 2 +- docs/reference/kurtosis.html | 2 +- docs/reference/like.html | 2 +- docs/reference/mdro.html | 2 +- docs/reference/microorganisms.html | 12 +- docs/reference/microorganisms.old.html | 2 +- docs/reference/mo_property.html | 2 +- docs/reference/mo_source.html | 2 +- docs/reference/p.symbol.html | 2 +- docs/reference/portion.html | 2 +- docs/reference/read.4D.html | 2 +- docs/reference/resistance_predict.html | 2 +- docs/reference/rsi_translation.html | 2 +- docs/reference/septic_patients.html | 2 +- docs/reference/skewness.html | 2 +- docs/reference/translate.html | 2 +- git_merge.sh | 2 + man/microorganisms.Rd | 13 +- pkgdown/extra.css | 6 - pkgdown/extra.js | 15 +- 62 files changed, 390 insertions(+), 379 deletions(-) diff --git a/_pkgdown.yml b/_pkgdown.yml index a63fcd49..6a5d274e 100644 --- a/_pkgdown.yml +++ b/_pkgdown.yml @@ -23,8 +23,6 @@ title: 'AMR (for R)' url: 'https://msberends.gitlab.io/AMR' development: mode: release # improves indexing by search engines - # version_label: default - version_tooltip: "Latest development version" news: one_page: true diff --git a/docs/articles/AMR.html b/docs/articles/AMR.html index 4256a340..d6160ebd 100644 --- a/docs/articles/AMR.html +++ b/docs/articles/AMR.html @@ -334,42 +334,31 @@ -2014-06-27 -V8 -Hospital B -Klebsiella pneumoniae -S +2014-12-18 +S8 +Hospital D +Escherichia coli S +R S S F -2013-02-12 -L4 -Hospital A -Streptococcus pneumoniae -I +2010-05-29 +Z4 +Hospital C +Escherichia coli S S S -M +S +F -2013-11-26 -T2 -Hospital A -Staphylococcus aureus -R -R -S -S -F - - -2013-12-27 -J10 -Hospital A +2015-11-20 +G6 +Hospital C Escherichia coli S S @@ -377,28 +366,39 @@ S M - -2013-09-22 -I7 -Hospital C -Staphylococcus aureus -S -S -S -S -M - -2014-01-26 -Q6 -Hospital A -Klebsiella pneumoniae -R +2015-11-07 +Q10 +Hospital D +Escherichia coli +S S S S F + +2013-11-26 +P8 +Hospital B +Streptococcus pneumoniae +S +R +S +S +F + + +2014-07-30 +L3 +Hospital B +Escherichia coli +R +S +S +S +M +

Now, let’s start the cleaning and the analysis!

@@ -418,8 +418,8 @@ # # Item Count Percent Cum. Count Cum. Percent # --- ----- ------- -------- ----------- ------------- -# 1 M 10,233 51.2% 10,233 51.2% -# 2 F 9,767 48.8% 20,000 100.0% +# 1 M 10,420 52.1% 10,420 52.1% +# 2 F 9,580 47.9% 20,000 100.0%

So, we can draw at least two conclusions immediately. From a data scientist perspective, the data looks clean: only values M and F. From a researcher perspective: there are slightly more men. Nothing we didn’t already know.

The data is already quite clean, but we still need to transform some variables. The bacteria column now consists of text, and we want to add more variables based on microbial IDs later on. So, we will transform this column to valid IDs. The mutate() function of the dplyr package makes this really easy:

data <- data %>%
@@ -449,14 +449,14 @@
 # Pasteurella multocida (no new changes)
 # Staphylococcus (no new changes)
 # Streptococcus groups A, B, C, G (no new changes)
-# Streptococcus pneumoniae (1509 new changes)
+# Streptococcus pneumoniae (1421 new changes)
 # Viridans group streptococci (no new changes)
 # 
 # EUCAST Expert Rules, Intrinsic Resistance and Exceptional Phenotypes (v3.1, 2016)
-# Table 01: Intrinsic resistance in Enterobacteriaceae (1276 new changes)
+# Table 01: Intrinsic resistance in Enterobacteriaceae (1367 new changes)
 # Table 02: Intrinsic resistance in non-fermentative Gram-negative bacteria (no new changes)
 # Table 03: Intrinsic resistance in other Gram-negative bacteria (no new changes)
-# Table 04: Intrinsic resistance in Gram-positive bacteria (2758 new changes)
+# Table 04: Intrinsic resistance in Gram-positive bacteria (2632 new changes)
 # Table 08: Interpretive rules for B-lactam agents and Gram-positive cocci (no new changes)
 # Table 09: Interpretive rules for B-lactam agents and Gram-negative rods (no new changes)
 # Table 11: Interpretive rules for macrolides, lincosamides, and streptogramins (no new changes)
@@ -464,24 +464,24 @@
 # Table 13: Interpretive rules for quinolones (no new changes)
 # 
 # Other rules
-# Non-EUCAST: amoxicillin/clav acid = S where ampicillin = S (2254 new changes)
-# Non-EUCAST: ampicillin = R where amoxicillin/clav acid = R (138 new changes)
+# Non-EUCAST: amoxicillin/clav acid = S where ampicillin = S (2233 new changes)
+# Non-EUCAST: ampicillin = R where amoxicillin/clav acid = R (113 new changes)
 # Non-EUCAST: piperacillin = R where piperacillin/tazobactam = R (no new changes)
 # Non-EUCAST: piperacillin/tazobactam = S where piperacillin = S (no new changes)
 # Non-EUCAST: trimethoprim = R where trimethoprim/sulfa = R (no new changes)
 # Non-EUCAST: trimethoprim/sulfa = S where trimethoprim = S (no new changes)
 # 
 # --------------------------------------------------------------------------
-# EUCAST rules affected 6,564 out of 20,000 rows, making a total of 7,935 edits
+# EUCAST rules affected 6,458 out of 20,000 rows, making a total of 7,766 edits
 # => added 0 test results
 # 
-# => changed 7,935 test results
-#    - 109 test results changed from S to I
-#    - 4,768 test results changed from S to R
-#    - 1,081 test results changed from I to S
-#    - 345 test results changed from I to R
-#    - 1,615 test results changed from R to S
-#    - 17 test results changed from R to I
+# => changed 7,766 test results
+#    - 106 test results changed from S to I
+#    - 4,695 test results changed from S to R
+#    - 1,068 test results changed from I to S
+#    - 323 test results changed from I to R
+#    - 1,556 test results changed from R to S
+#    - 18 test results changed from R to I
 # --------------------------------------------------------------------------
 # 
 # Use verbose = TRUE to get a data.frame with all specified edits instead.
@@ -509,7 +509,7 @@ # NOTE: Using column `bacteria` as input for `col_mo`. # NOTE: Using column `date` as input for `col_date`. # NOTE: Using column `patient_id` as input for `col_patient_id`. -# => Found 5,664 first isolates (28.3% of total) +# => Found 5,665 first isolates (28.3% of total)

So only 28.3% is suitable for resistance analysis! We can now filter on it with the filter() function, also from the dplyr package:

data_1st <- data %>% 
   filter(first == TRUE)
@@ -536,8 +536,8 @@ 1 -2010-01-07 -K9 +2010-01-18 +T2 B_ESCHR_COL S S @@ -547,43 +547,43 @@ 2 -2010-02-14 -K9 +2010-01-26 +T2 B_ESCHR_COL R S -S +R S FALSE 3 -2010-02-18 -K9 +2010-02-26 +T2 B_ESCHR_COL -R +I +S S -R S FALSE 4 -2010-06-01 -K9 +2010-03-13 +T2 B_ESCHR_COL S S -R +S S FALSE 5 -2010-08-14 -K9 +2010-08-18 +T2 B_ESCHR_COL -S +R S S S @@ -591,8 +591,8 @@ 6 -2010-11-08 -K9 +2010-12-10 +T2 B_ESCHR_COL S S @@ -602,21 +602,21 @@ 7 -2010-11-16 -K9 +2011-05-02 +T2 B_ESCHR_COL S S +R S -S -FALSE +TRUE 8 -2010-12-11 -K9 +2011-05-02 +T2 B_ESCHR_COL -S +R S S S @@ -624,22 +624,22 @@ 9 -2011-02-27 -K9 +2011-05-15 +T2 B_ESCHR_COL -R S S S -TRUE +S +FALSE 10 -2011-03-06 -K9 +2011-05-15 +T2 B_ESCHR_COL R -R +S S S FALSE @@ -657,7 +657,7 @@ # NOTE: Using column `patient_id` as input for `col_patient_id`. # NOTE: Using column `keyab` as input for `col_keyantibiotics`. Use col_keyantibiotics = FALSE to prevent this. # [Criterion] Inclusion based on key antibiotics, ignoring I. -# => Found 15,014 first weighted isolates (75.1% of total) +# => Found 15,064 first weighted isolates (75.3% of total) @@ -674,8 +674,8 @@ - - + + @@ -686,46 +686,46 @@ - - + + - + - - + + - + + - - - + + - + - + - - + + - + @@ -734,8 +734,8 @@ - - + + @@ -746,47 +746,47 @@ - - + + + - - + - - - - - - - - - - - - - - + + + + + + + + + + + + + + - - + + - + @@ -794,11 +794,11 @@
isolate
12010-01-07K92010-01-18T2 B_ESCHR_COL S S
22010-02-14K92010-01-26T2 B_ESCHR_COL R SSR S FALSE TRUE
32010-02-18K92010-02-26T2 B_ESCHR_COLRIS SR S FALSE TRUE
42010-06-01K92010-03-13T2 B_ESCHR_COL S SRS S FALSETRUEFALSE
52010-08-14K92010-08-18T2 B_ESCHR_COLSR S S S
62010-11-08K92010-12-10T2 B_ESCHR_COL S S
72010-11-16K92011-05-02T2 B_ESCHR_COL S SR SSFALSETRUE TRUE
82010-12-11K9B_ESCHR_COLSSSSFALSEFALSE
92011-02-27K92011-05-02T2 B_ESCHR_COL R S S SFALSE TRUE
92011-05-15T2B_ESCHR_COLSSSSFALSE TRUE
102011-03-06K92011-05-15T2 B_ESCHR_COL RRS S S FALSE
-

Instead of 2, now 9 isolates are flagged. In total, 75.1% of all isolates are marked ‘first weighted’ - 46.8% more than when using the CLSI guideline. In real life, this novel algorithm will yield 5-10% more isolates than the classic CLSI guideline.

+

Instead of 2, now 9 isolates are flagged. In total, 75.3% of all isolates are marked ‘first weighted’ - 47% more than when using the CLSI guideline. In real life, this novel algorithm will yield 5-10% more isolates than the classic CLSI guideline.

As with filter_first_isolate(), there’s a shortcut for this new algorithm too:

data_1st <- data %>% 
   filter_first_weighted_isolate()
-

So we end up with 15,014 isolates for analysis.

+

So we end up with 15,064 isolates for analysis.

We can remove unneeded columns:

data_1st <- data_1st %>% 
   select(-c(first, keyab))
@@ -823,93 +823,93 @@ -1 -2014-06-27 -V8 -Hospital B -B_KLBSL_PNE -R +3 +2015-11-20 +G6 +Hospital C +B_ESCHR_COL +S +S +S +S +M +Gram negative +Escherichia +coli +TRUE + + +4 +2015-11-07 +Q10 +Hospital D +B_ESCHR_COL +S S S S F Gram negative -Klebsiella -pneumoniae +Escherichia +coli TRUE - -2 -2013-02-12 -L4 -Hospital A + +5 +2013-11-26 +P8 +Hospital B B_STRPT_PNE -I -I +S +S S R -M +F Gram positive Streptococcus pneumoniae TRUE - -3 -2013-11-26 -T2 -Hospital A -B_STPHY_AUR -R -R -S -S -F -Gram positive -Staphylococcus -aureus -TRUE - -5 -2013-09-22 -I7 -Hospital C -B_STPHY_AUR -S +6 +2014-07-30 +L3 +Hospital B +B_ESCHR_COL +R S S S M -Gram positive -Staphylococcus -aureus +Gram negative +Escherichia +coli TRUE 7 -2012-03-30 -L8 -Hospital B -B_STPHY_AUR -S -S +2016-04-08 +C7 +Hospital A +B_ESCHR_COL +R S +R S M -Gram positive -Staphylococcus -aureus +Gram negative +Escherichia +coli TRUE 8 -2015-08-27 -L4 -Hospital A +2010-02-28 +A8 +Hospital D B_ESCHR_COL -R -R +S +S S S M @@ -935,9 +935,9 @@
freq(paste(data_1st$genus, data_1st$species))

Or can be used like the dplyr way, which is easier readable:

data_1st %>% freq(genus, species)
-

Frequency table of genus and species from a data.frame (15,014 x 13)

+

Frequency table of genus and species from a data.frame (15,064 x 13)

Columns: 2
-Length: 15,014 (of which NA: 0 = 0.00%)
+Length: 15,064 (of which NA: 0 = 0.00%)
Unique: 4

Shortest: 16
Longest: 24

@@ -954,33 +954,33 @@ Longest: 24

1 Escherichia coli -7,496 -49.9% -7,496 -49.9% +7,474 +49.6% +7,474 +49.6% 2 Staphylococcus aureus -3,663 -24.4% -11,159 -74.3% +3,691 +24.5% +11,165 +74.1% 3 Streptococcus pneumoniae -2,303 -15.3% -13,462 -89.7% +2,238 +14.9% +13,403 +89.0% 4 Klebsiella pneumoniae -1,552 -10.3% -15,014 +1,661 +11.0% +15,064 100.0% @@ -991,7 +991,7 @@ Longest: 24

Resistance percentages

The functions portion_S(), portion_SI(), portion_I(), portion_IR() and portion_R() can be used to determine the portion of a specific antimicrobial outcome. As per the EUCAST guideline of 2019, we calculate resistance as the portion of R (portion_R()) and susceptibility as the portion of S and I (portion_SI()). These functions can be used on their own:

data_1st %>% portion_R(AMX)
-# [1] 0.4708938
+# [1] 0.4719862

Or can be used in conjuction with group_by() and summarise(), both from the dplyr package:

data_1st %>% 
   group_by(hospital) %>% 
@@ -1004,19 +1004,19 @@ Longest: 24

Hospital A -0.4625681 +0.4641785 Hospital B -0.4799232 +0.4697084 Hospital C -0.4727660 +0.4838129 Hospital D -0.4660767 +0.4796271 @@ -1034,23 +1034,23 @@ Longest: 24

Hospital A -0.4625681 -4408 +0.4641785 +4662 Hospital B -0.4799232 -5205 +0.4697084 +5282 Hospital C -0.4727660 -2350 +0.4838129 +2224 Hospital D -0.4660767 -3051 +0.4796271 +2896 @@ -1070,27 +1070,27 @@ Longest: 24

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@@ -199,7 +199,7 @@

How to apply EUCAST rules

Matthijs S. Berends

-

01 June 2019

+

02 June 2019

diff --git a/docs/articles/G_test.html b/docs/articles/G_test.html index 3036aee2..665792c8 100644 --- a/docs/articles/G_test.html +++ b/docs/articles/G_test.html @@ -40,7 +40,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 @@ -199,7 +199,7 @@

How to use the G-test

Matthijs S. Berends

-

01 June 2019

+

02 June 2019

diff --git a/docs/articles/MDR.html b/docs/articles/MDR.html index 0ffdd826..9747c975 100644 --- a/docs/articles/MDR.html +++ b/docs/articles/MDR.html @@ -40,7 +40,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 @@ -199,7 +199,7 @@

How to determine multi-drug resistance (MDR)

Matthijs S. Berends

-

01 June 2019

+

02 June 2019

@@ -242,18 +242,18 @@

The data set looks like this now:

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

my_TB_data$mdr <- mdr_tb(my_TB_data)
@@ -285,40 +285,40 @@ Unique: 5

1 Mono-resistance -3,300 -66.0% -3,300 -66.0% +3,249 +65.0% +3,249 +65.0% 2 Negative -649 -13.0% -3,949 -79.0% +670 +13.4% +3,919 +78.4% 3 Multidrug resistance -586 -11.7% -4,535 -90.7% +604 +12.1% +4,523 +90.5% 4 Poly-resistance -270 -5.4% -4,805 -96.1% +289 +5.8% +4,812 +96.2% 5 Extensive drug resistance -195 -3.9% +188 +3.8% 5,000 100.0% diff --git a/docs/articles/SPSS.html b/docs/articles/SPSS.html index 50553237..9b7fa83a 100644 --- a/docs/articles/SPSS.html +++ b/docs/articles/SPSS.html @@ -40,7 +40,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053
@@ -199,7 +199,7 @@

How to import data from SPSS / SAS / Stata

Matthijs S. Berends

-

01 June 2019

+

02 June 2019

diff --git a/docs/articles/WHONET.html b/docs/articles/WHONET.html index 906ba876..d6a2fd1e 100644 --- a/docs/articles/WHONET.html +++ b/docs/articles/WHONET.html @@ -40,7 +40,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 @@ -199,7 +199,7 @@

How to work with WHONET data

Matthijs S. Berends

-

01 June 2019

+

02 June 2019

diff --git a/docs/articles/ab_property.html b/docs/articles/ab_property.html index a5be0779..5b8a2b41 100644 --- a/docs/articles/ab_property.html +++ b/docs/articles/ab_property.html @@ -40,7 +40,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 @@ -199,7 +199,7 @@

How to get properties of an antibiotic

Matthijs S. Berends

-

01 June 2019

+

02 June 2019

diff --git a/docs/articles/benchmarks.html b/docs/articles/benchmarks.html index 748aa88a..a42c2180 100644 --- a/docs/articles/benchmarks.html +++ b/docs/articles/benchmarks.html @@ -40,7 +40,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 @@ -199,7 +199,7 @@

Benchmarks

Matthijs S. Berends

-

01 June 2019

+

02 June 2019

@@ -224,14 +224,14 @@ times = 10) print(S.aureus, unit = "ms", signif = 2) # Unit: milliseconds -# expr min lq mean median uq max neval -# as.mo("sau") 17.0 18 37 18 62.0 80.0 10 -# as.mo("stau") 48.0 48 52 48 48.0 92.0 10 -# as.mo("staaur") 18.0 18 31 18 62.0 66.0 10 -# as.mo("STAAUR") 17.0 18 18 18 18.0 18.0 10 -# as.mo("S. aureus") 28.0 28 37 28 29.0 110.0 10 -# as.mo("S. aureus") 28.0 29 33 29 29.0 72.0 10 -# as.mo("Staphylococcus aureus") 7.9 8 8 8 8.1 8.1 10
+# expr min lq mean median uq max neval +# as.mo("sau") 18 18 27.0 18 18.0 62.0 10 +# as.mo("stau") 48 48 48.0 48 48.0 48.0 10 +# as.mo("staaur") 18 18 27.0 18 18.0 63.0 10 +# as.mo("STAAUR") 18 18 28.0 18 18.0 81.0 10 +# as.mo("S. aureus") 28 28 33.0 29 29.0 73.0 10 +# as.mo("S. aureus") 28 29 47.0 30 72.0 110.0 10 +# as.mo("Staphylococcus aureus") 8 8 8.1 8 8.1 8.2 10

In the table above, all measurements are shown in milliseconds (thousands of seconds). A value of 5 milliseconds means it can determine 200 input values per second. It case of 100 milliseconds, this is only 10 input values per second. The second input is the only one that has to be looked up thoroughly. All the others are known codes (the first one is a WHONET code) or common laboratory codes, or common full organism names like the last one. Full organism names are always preferred.

To achieve this speed, the as.mo function also takes into account the prevalence of human pathogenic microorganisms. The downside is of course that less prevalent microorganisms will be determined less fast. See this example for the ID of Thermus islandicus (B_THERMS_ISL), a bug probably never found before in humans:

-

That takes 8 times as much time on average. A value of 100 milliseconds means it can only determine ~10 different input values per second. We can conclude that looking up arbitrary codes of less prevalent microorganisms is the worst way to go, in terms of calculation performance. Full names (like Thermus islandicus) are almost fast - these are the most probable input from most data sets.

+# as.mo("theisl") 470 470 500 520 520 520 10 +# as.mo("THEISL") 470 470 500 500 520 530 10 +# as.mo("T. islandicus") 74 74 86 74 76 140 10 +# as.mo("T. islandicus") 74 74 80 76 77 120 10 +# as.mo("Thermus islandicus") 73 73 89 74 120 140 10 +

That takes 8.1 times as much time on average. A value of 100 milliseconds means it can only determine ~10 different input values per second. We can conclude that looking up arbitrary codes of less prevalent microorganisms is the worst way to go, in terms of calculation performance. Full names (like Thermus islandicus) are almost fast - these are the most probable input from most data sets.

In the figure below, we compare Escherichia coli (which is very common) with Prevotella brevis (which is moderately common) and with Thermus islandicus (which is very uncommon):

par(mar = c(5, 16, 4, 2)) # set more space for left margin text (16)
 
@@ -293,9 +293,9 @@
                          times = 10)
 print(run_it, unit = "ms", signif = 3)
 # Unit: milliseconds
-#            expr min  lq mean median  uq max neval
-#  mo_fullname(x) 636 664  728    716 763 880    10
-

So transforming 500,000 values (!!) of 50 unique values only takes 0.72 seconds (715 ms). You only lose time on your unique input values.

+# expr min lq mean median uq max neval +# mo_fullname(x) 1080 1120 1160 1130 1180 1340 10 +

So transforming 500,000 values (!!) of 50 unique values only takes 1.13 seconds (1128 ms). You only lose time on your unique input values.

-

So going from mo_fullname("Staphylococcus aureus") to "Staphylococcus aureus" takes 0.0018 seconds - it doesn’t even start calculating if the result would be the same as the expected resulting value. That goes for all helper functions:

+# expr min lq mean median uq max neval +# A 13.10 13.5 13.70 13.60 13.70 14.70 10 +# B 25.70 25.9 31.10 27.00 27.70 70.30 10 +# C 1.61 1.8 1.87 1.85 1.95 2.05 10 +

So going from mo_fullname("Staphylococcus aureus") to "Staphylococcus aureus" takes 0.0019 seconds - it doesn’t even start calculating if the result would be the same as the expected resulting value. That goes for all helper functions:

+# A 0.495 0.521 0.626 0.631 0.723 0.822 10 +# B 0.581 0.652 0.710 0.716 0.760 0.841 10 +# C 1.520 1.610 1.810 1.780 1.940 2.220 10 +# D 0.617 0.655 0.742 0.724 0.798 0.973 10 +# E 0.506 0.573 0.648 0.615 0.707 0.902 10 +# F 0.515 0.555 0.621 0.589 0.638 0.868 10 +# G 0.512 0.572 0.633 0.608 0.713 0.805 10 +# H 0.191 0.284 0.303 0.303 0.334 0.397 10

Of course, when running mo_phylum("Firmicutes") the function has zero knowledge about the actual microorganism, namely S. aureus. But since the result would be "Firmicutes" too, there is no point in calculating the result. And because this package ‘knows’ all phyla of all known bacteria (according to the Catalogue of Life), it can just return the initial value immediately.

+# en 18.44 18.47 18.68 18.57 18.79 19.33 10 +# de 21.04 21.07 21.27 21.15 21.26 21.85 10 +# nl 34.34 34.55 34.70 34.67 34.87 35.06 10 +# es 20.91 21.01 30.28 21.28 21.55 67.00 10 +# it 20.80 20.98 25.89 21.46 21.86 66.53 10 +# fr 20.93 21.08 21.12 21.11 21.13 21.42 10 +# pt 20.94 21.03 25.81 21.40 21.64 66.15 10

Currently supported are German, Dutch, Spanish, Italian, French and Portuguese.

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How to create frequency tables

Matthijs S. Berends

-

01 June 2019

+

02 June 2019

diff --git a/docs/articles/mo_property.html b/docs/articles/mo_property.html index 33f8a93d..201091d9 100644 --- a/docs/articles/mo_property.html +++ b/docs/articles/mo_property.html @@ -40,7 +40,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 @@ -199,7 +199,7 @@

How to get properties of a microorganism

Matthijs S. Berends

-

01 June 2019

+

02 June 2019

diff --git a/docs/extra.css b/docs/extra.css index 634a7b0b..b9112266 100644 --- a/docs/extra.css +++ b/docs/extra.css @@ -136,11 +136,8 @@ help { font-size: 1.5em; } -/* hide version label */ .version.label { - /* display: none; - */ } /* Date of vignettes */ @@ -215,6 +212,3 @@ table a:not(.btn):hover, .table a:not(.btn):hover { white-space: normal; } -#search-input { - max-width: 100px; -} diff --git a/docs/extra.js b/docs/extra.js index 9cf87b31..11554706 100644 --- a/docs/extra.js +++ b/docs/extra.js @@ -21,19 +21,20 @@ # ==================================================================== # */ -// Add updated Font Awesome 5.6.3 library -$('head').append(''); +// Add updated Font Awesome 5.8.2 library +$('head').append(''); // Add Disqus -// $('head').append(''); $('head').append(''); // Email template for new GitLab issues //https://stackoverflow.com/a/33190494/4575331 //incoming+msberends-amr-9011429-5miwzuo1xo70wbz9r6fwv4dmg-issue@incoming.gitlab.com -// Edit footer $( document ).ready(function() { + // remove version label from header + $(".version.label").remove(); + // redirect to GitLab var url_old = window.location.href; var url_new = url_old.replace("github", "gitlab"); @@ -41,8 +42,8 @@ $( document ).ready(function() { window.location.replace(url_new); } + // PR for 'R for Data Science' on How To pages if ($(".template-article").length > 0) { - // PR for 'R for Data Science' on How To pages $('#sidebar').prepend( ''); } - // Add Disqus to all pages + // add Disqus to all pages var disqus = ' AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/WHOCC.html b/docs/reference/WHOCC.html index 0606fc6c..5d9847c9 100644 --- a/docs/reference/WHOCC.html +++ b/docs/reference/WHOCC.html @@ -80,7 +80,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/WHONET.html b/docs/reference/WHONET.html index c70875fb..e91768c8 100644 --- a/docs/reference/WHONET.html +++ b/docs/reference/WHONET.html @@ -80,7 +80,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/ab_property.html b/docs/reference/ab_property.html index 7945ea74..729a7e66 100644 --- a/docs/reference/ab_property.html +++ b/docs/reference/ab_property.html @@ -80,7 +80,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/age.html b/docs/reference/age.html index acaf26c9..e604f17c 100644 --- a/docs/reference/age.html +++ b/docs/reference/age.html @@ -80,7 +80,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/age_groups.html b/docs/reference/age_groups.html index a91a5f15..ae2f2a2b 100644 --- a/docs/reference/age_groups.html +++ b/docs/reference/age_groups.html @@ -80,7 +80,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/antibiotics.html b/docs/reference/antibiotics.html index 1c885ac7..8fd5fdb4 100644 --- a/docs/reference/antibiotics.html +++ b/docs/reference/antibiotics.html @@ -80,7 +80,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/as.ab.html b/docs/reference/as.ab.html index b0c57ea7..69ab40bf 100644 --- a/docs/reference/as.ab.html +++ b/docs/reference/as.ab.html @@ -80,7 +80,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/as.atc.html b/docs/reference/as.atc.html index 1940447c..93166267 100644 --- a/docs/reference/as.atc.html +++ b/docs/reference/as.atc.html @@ -80,7 +80,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/as.disk.html b/docs/reference/as.disk.html index ce337bc5..17b88a59 100644 --- a/docs/reference/as.disk.html +++ b/docs/reference/as.disk.html @@ -80,7 +80,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/as.mic.html b/docs/reference/as.mic.html index d2cd6827..5b1de342 100644 --- a/docs/reference/as.mic.html +++ b/docs/reference/as.mic.html @@ -80,7 +80,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/as.mo.html b/docs/reference/as.mo.html index 1acd8373..1176b36d 100644 --- a/docs/reference/as.mo.html +++ b/docs/reference/as.mo.html @@ -80,7 +80,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/as.rsi.html b/docs/reference/as.rsi.html index 2dc8ec28..42bb6313 100644 --- a/docs/reference/as.rsi.html +++ b/docs/reference/as.rsi.html @@ -80,7 +80,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/atc_online.html b/docs/reference/atc_online.html index 4b90f630..14781e90 100644 --- a/docs/reference/atc_online.html +++ b/docs/reference/atc_online.html @@ -80,7 +80,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/availability.html b/docs/reference/availability.html index 8aad3ccc..d6c81428 100644 --- a/docs/reference/availability.html +++ b/docs/reference/availability.html @@ -80,7 +80,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/catalogue_of_life_version.html b/docs/reference/catalogue_of_life_version.html index b5114222..0b117b20 100644 --- a/docs/reference/catalogue_of_life_version.html +++ b/docs/reference/catalogue_of_life_version.html @@ -80,7 +80,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/count.html b/docs/reference/count.html index 4126ec36..b744b2ce 100644 --- a/docs/reference/count.html +++ b/docs/reference/count.html @@ -81,7 +81,7 @@ count_R and count_IR can be used to count resistant isolates, count_S and count_ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/filter_ab_class.html b/docs/reference/filter_ab_class.html index 49f478f1..9814a8b9 100644 --- a/docs/reference/filter_ab_class.html +++ b/docs/reference/filter_ab_class.html @@ -80,7 +80,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/first_isolate.html b/docs/reference/first_isolate.html index 61d3bfdf..05453473 100644 --- a/docs/reference/first_isolate.html +++ b/docs/reference/first_isolate.html @@ -80,7 +80,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/freq.html b/docs/reference/freq.html index c31a6c1d..4fc0f69a 100644 --- a/docs/reference/freq.html +++ b/docs/reference/freq.html @@ -81,7 +81,7 @@ top_freq can be used to get the top/bottom n items of a frequency table, with co AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/g.test.html b/docs/reference/g.test.html index dce590dd..90cc4425 100644 --- a/docs/reference/g.test.html +++ b/docs/reference/g.test.html @@ -80,7 +80,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/ggplot_rsi.html b/docs/reference/ggplot_rsi.html index ecdfc7b9..da0a259e 100644 --- a/docs/reference/ggplot_rsi.html +++ b/docs/reference/ggplot_rsi.html @@ -80,7 +80,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/guess_ab_col.html b/docs/reference/guess_ab_col.html index 1fd8a5b8..1ac6cf73 100644 --- a/docs/reference/guess_ab_col.html +++ b/docs/reference/guess_ab_col.html @@ -80,7 +80,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/join.html b/docs/reference/join.html index 7524d37b..e0d2e7ba 100644 --- a/docs/reference/join.html +++ b/docs/reference/join.html @@ -80,7 +80,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/key_antibiotics.html b/docs/reference/key_antibiotics.html index 1e841a84..fbb77a1c 100644 --- a/docs/reference/key_antibiotics.html +++ b/docs/reference/key_antibiotics.html @@ -80,7 +80,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/kurtosis.html b/docs/reference/kurtosis.html index 66846c89..00e06ff2 100644 --- a/docs/reference/kurtosis.html +++ b/docs/reference/kurtosis.html @@ -80,7 +80,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/like.html b/docs/reference/like.html index 3f32ac6e..eb7c93d2 100644 --- a/docs/reference/like.html +++ b/docs/reference/like.html @@ -80,7 +80,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/mdro.html b/docs/reference/mdro.html index 6985ada4..2825aafb 100644 --- a/docs/reference/mdro.html +++ b/docs/reference/mdro.html @@ -80,7 +80,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/microorganisms.html b/docs/reference/microorganisms.html index 18ab630b..15d75edf 100644 --- a/docs/reference/microorganisms.html +++ b/docs/reference/microorganisms.html @@ -252,7 +252,17 @@

Format

-

An object of class data.frame with 67903 rows and 16 columns.

+

A data.frame with 67,903 observations and 16 variables:

+
mo

ID of microorganism as used by this package

+
col_id

Catalogue of Life ID

+
fullname

Full name, like "Escherichia coli"

+
kingdom, phylum, class, order, family, genus, species, subspecies

Taxonomic rank of the microorganism

+
rank

Text of the taxonomic rank of the microorganism, like "species" or "genus"

+
ref

Author(s) and year of concerning scientific publication

+
species_id

ID of the species as used by the Catalogue of Life

+
source

Either "CoL", "DSMZ" (see source) or "manually added"

+
prevalence

Prevalence of the microorganism, see ?as.mo

+

Source

diff --git a/docs/reference/microorganisms.old.html b/docs/reference/microorganisms.old.html index 968b7308..793d1111 100644 --- a/docs/reference/microorganisms.old.html +++ b/docs/reference/microorganisms.old.html @@ -80,7 +80,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/mo_property.html b/docs/reference/mo_property.html index 282f9e85..fbf8eda2 100644 --- a/docs/reference/mo_property.html +++ b/docs/reference/mo_property.html @@ -80,7 +80,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/mo_source.html b/docs/reference/mo_source.html index ff1a81df..9040f9b3 100644 --- a/docs/reference/mo_source.html +++ b/docs/reference/mo_source.html @@ -81,7 +81,7 @@ This is the fastest way to have your organisation (or analysis) specific codes p AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/p.symbol.html b/docs/reference/p.symbol.html index 17817249..1c3f709e 100644 --- a/docs/reference/p.symbol.html +++ b/docs/reference/p.symbol.html @@ -80,7 +80,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/portion.html b/docs/reference/portion.html index 22e80d9d..f9a2c883 100644 --- a/docs/reference/portion.html +++ b/docs/reference/portion.html @@ -81,7 +81,7 @@ portion_R and portion_IR can be used to calculate resistance, portion_S and port AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/read.4D.html b/docs/reference/read.4D.html index d997f484..ad473e78 100644 --- a/docs/reference/read.4D.html +++ b/docs/reference/read.4D.html @@ -80,7 +80,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/resistance_predict.html b/docs/reference/resistance_predict.html index 5f9ad473..4db31fa0 100644 --- a/docs/reference/resistance_predict.html +++ b/docs/reference/resistance_predict.html @@ -80,7 +80,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/rsi_translation.html b/docs/reference/rsi_translation.html index 61729859..2cfc23a0 100644 --- a/docs/reference/rsi_translation.html +++ b/docs/reference/rsi_translation.html @@ -80,7 +80,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/septic_patients.html b/docs/reference/septic_patients.html index 787b0c55..00758f70 100644 --- a/docs/reference/septic_patients.html +++ b/docs/reference/septic_patients.html @@ -80,7 +80,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/skewness.html b/docs/reference/skewness.html index 836c67b4..4205cb04 100644 --- a/docs/reference/skewness.html +++ b/docs/reference/skewness.html @@ -81,7 +81,7 @@ When negative: the left tail is longer; the mass of the distribution is concentr AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/docs/reference/translate.html b/docs/reference/translate.html index efe692d6..68d84cc0 100644 --- a/docs/reference/translate.html +++ b/docs/reference/translate.html @@ -80,7 +80,7 @@ AMR (for R) - 0.6.1.9052 + 0.6.1.9053 diff --git a/git_merge.sh b/git_merge.sh index 08e4828a..3631323d 100755 --- a/git_merge.sh +++ b/git_merge.sh @@ -10,6 +10,8 @@ # git stash --quiet # go to master +git add . +git commit -a -m "website update" --quiet git checkout master --quiet echo "changed branch to master" # import everything from premaster diff --git a/man/microorganisms.Rd b/man/microorganisms.Rd index 01546260..a4e493a0 100755 --- a/man/microorganisms.Rd +++ b/man/microorganisms.Rd @@ -4,7 +4,18 @@ \name{microorganisms} \alias{microorganisms} \title{Data set with ~65,000 microorganisms} -\format{An object of class \code{data.frame} with 67903 rows and 16 columns.} +\format{A \code{\link{data.frame}} with 67,903 observations and 16 variables: +\describe{ + \item{\code{mo}}{ID of microorganism as used by this package} + \item{\code{col_id}}{Catalogue of Life ID} + \item{\code{fullname}}{Full name, like \code{"Escherichia coli"}} + \item{\code{kingdom}, \code{phylum}, \code{class}, \code{order}, \code{family}, \code{genus}, \code{species}, \code{subspecies}}{Taxonomic rank of the microorganism} + \item{\code{rank}}{Text of the taxonomic rank of the microorganism, like \code{"species"} or \code{"genus"}} + \item{\code{ref}}{Author(s) and year of concerning scientific publication} + \item{\code{species_id}}{ID of the species as used by the Catalogue of Life} + \item{\code{source}}{Either \code{"CoL"}, \code{"DSMZ"} (see source) or "manually added"} + \item{\code{prevalence}}{Prevalence of the microorganism, see \code{?as.mo}} +}} \source{ Catalogue of Life: Annual Checklist (public online taxonomic database), \url{www.catalogueoflife.org} (check included annual version with \code{\link{catalogue_of_life_version}()}). diff --git a/pkgdown/extra.css b/pkgdown/extra.css index 634a7b0b..b9112266 100644 --- a/pkgdown/extra.css +++ b/pkgdown/extra.css @@ -136,11 +136,8 @@ help { font-size: 1.5em; } -/* hide version label */ .version.label { - /* display: none; - */ } /* Date of vignettes */ @@ -215,6 +212,3 @@ table a:not(.btn):hover, .table a:not(.btn):hover { white-space: normal; } -#search-input { - max-width: 100px; -} diff --git a/pkgdown/extra.js b/pkgdown/extra.js index 9cf87b31..11554706 100644 --- a/pkgdown/extra.js +++ b/pkgdown/extra.js @@ -21,19 +21,20 @@ # ==================================================================== # */ -// Add updated Font Awesome 5.6.3 library -$('head').append(''); +// Add updated Font Awesome 5.8.2 library +$('head').append(''); // Add Disqus -// $('head').append(''); $('head').append(''); // Email template for new GitLab issues //https://stackoverflow.com/a/33190494/4575331 //incoming+msberends-amr-9011429-5miwzuo1xo70wbz9r6fwv4dmg-issue@incoming.gitlab.com -// Edit footer $( document ).ready(function() { + // remove version label from header + $(".version.label").remove(); + // redirect to GitLab var url_old = window.location.href; var url_new = url_old.replace("github", "gitlab"); @@ -41,8 +42,8 @@ $( document ).ready(function() { window.location.replace(url_new); } + // PR for 'R for Data Science' on How To pages if ($(".template-article").length > 0) { - // PR for 'R for Data Science' on How To pages $('#sidebar').prepend( ''); } - // Add Disqus to all pages + // add Disqus to all pages var disqus = '