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(v1.1.0.9005) lose dependencies
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@ -62,7 +62,7 @@ As with many uses in R, we need some additional packages for AMR analysis. Our p
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Our `AMR` package depends on these packages and even extends their use and functions.
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```{r lib packages, eval = FALSE}
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```{r lib packages, message = FALSE, warning = FALSE, results = 'asis'}
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library(dplyr)
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library(ggplot2)
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library(AMR)
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@ -71,11 +71,6 @@ library(AMR)
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# install.packages(c("dplyr", "ggplot2", "AMR"))
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```
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```{r lib packages 2, echo = FALSE, results = 'asis'}
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library(AMR)
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library(dplyr)
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```
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# Creation of data
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We will create some fake example data to use for analysis. For antimicrobial resistance analysis, we need at least: a patient ID, name or code of a microorganism, a date and antimicrobial results (an antibiogram). It could also include a specimen type (e.g. to filter on blood or urine), the ward type (e.g. to filter on ICUs).
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