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(v1.0.1.9000) first PCA implementation
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15
_pkgdown.yml
15
_pkgdown.yml
@ -44,6 +44,9 @@ navbar:
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- text: "Predict antimicrobial resistance"
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icon: "fa-dice"
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href: "articles/resistance_predict.html"
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- text: "Conduct principal component analysis for AMR"
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icon: "fa-compress"
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href: "articles/PCA.html"
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- text: "Determine multi-drug resistance (MDR)"
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icon: "fa-skull-crossbones"
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href: "articles/MDR.html"
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@ -94,7 +97,6 @@ reference:
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- "`guess_ab_col`"
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- "`mo_source`"
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- "`read.4D`"
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- "`rsi_translation`"
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- title: "Enhancing your data"
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desc: >
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Functions to add new data to your existing data, such as the determination
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@ -117,28 +119,31 @@ reference:
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Functions for conducting AMR analysis, like counting isolates, calculating
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resistance or susceptibility, or make plots.
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contents:
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- "`proportion`"
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- "`count`"
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- "`availability`"
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- "`bug_drug_combinations`"
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- "`count`"
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- "`resistance_predict`"
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- "`pca`"
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- "`filter_ab_class`"
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- "`g.test`"
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- "`ggplot_rsi`"
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- "`ggplot_pca`"
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- "`kurtosis`"
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- "`portion`"
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- "`resistance_predict`"
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- "`skewness`"
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- title: "Included data sets"
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desc: >
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Scientifically reliable references for microorganisms and
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antibiotics, and example data sets to use for practise.
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contents:
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- "`microorganisms`"
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- "`antibiotics`"
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- "`antivirals`"
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- "`example_isolates`"
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- "`example_isolates_unclean`"
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- "`rsi_translation`"
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- "`microorganisms.codes`"
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- "`microorganisms.old`"
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- "`microorganisms`"
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- "`WHONET`"
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- title: "Background information"
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desc: >
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