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ggplot_rsi example update, more unit tests
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NEWS.md
5
NEWS.md
@ -6,7 +6,7 @@
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* Function `is.rsi.eligible` to check for columns that have valid antimicrobial results, but do not have the `rsi` class yet. Transform the columns of your raw data with: `data %>% mutate_if(is.rsi.eligible, as.rsi)`
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* Function `is.rsi.eligible` to check for columns that have valid antimicrobial results, but do not have the `rsi` class yet. Transform the columns of your raw data with: `data %>% mutate_if(is.rsi.eligible, as.rsi)`
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* Functions `as.atc` and `is.atc` to transform/look up antibiotic ATC codes as defined by the WHO. The existing function `guess_atc` is now an alias of `as.atc`.
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* Functions `as.atc` and `is.atc` to transform/look up antibiotic ATC codes as defined by the WHO. The existing function `guess_atc` is now an alias of `as.atc`.
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* Aliases for existing function `mo_property`: `mo_aerobic`, `mo_family`, `mo_fullname`, `mo_genus`, `mo_gramstain`, `mo_gramstain_nl`, `mo_property`, `mo_species`, `mo_subspecies`, `mo_type`, `mo_type_nl`
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* Aliases for existing function `mo_property`: `mo_aerobic`, `mo_family`, `mo_fullname`, `mo_genus`, `mo_gramstain`, `mo_gramstain_nl`, `mo_property`, `mo_species`, `mo_subspecies`, `mo_type`, `mo_type_nl`
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* Function `ab_property` and its aliases: `ab_certe`, `ab_official`, `ab_official_nl`, `ab_property`, `ab_trivial_nl`, `ab_umcg`
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* Function `ab_property` and its aliases: `ab_certe`, `ab_official`, `ab_official_nl`, `ab_property`, `ab_trivial_nl`, `ab_umcg`, `ab_tradenames`
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* Introduction to AMR as a vignette
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* Introduction to AMR as a vignette
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#### Changed
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#### Changed
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@ -22,7 +22,7 @@
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# [1] "R01AX06" "J01CA04" "J01FA10" "J01CF05"
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# [1] "R01AX06" "J01CA04" "J01FA10" "J01CF05"
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```
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```
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* Removed function `ratio` as it is not really the scope of this package
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* Removed function `ratio` as it is not really the scope of this package
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* Fix in `as.mic` for values ending in zeroes after a real number
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* Fix for `as.mic` for values ending in zeroes after a real number
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* Huge speed improvement for `as.bactid`
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* Huge speed improvement for `as.bactid`
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* Added parameters `minimum` and `as_percent` to `portion_df`
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* Added parameters `minimum` and `as_percent` to `portion_df`
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* Support for quasiquotation in the functions series `count_*` and `portions_*`, and `n_rsi`. This allows to check for more than 2 vectors or columns.
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* Support for quasiquotation in the functions series `count_*` and `portions_*`, and `n_rsi`. This allows to check for more than 2 vectors or columns.
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@ -46,7 +46,6 @@
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my_list %>% freq(age)
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my_list %>% freq(age)
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my_list %>% freq(sex)
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my_list %>% freq(sex)
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```
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```
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* Added "Furabid" as a trade name to Nitrofurantoine in the `antibiotics` data set
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#### Other
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#### Other
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* More unit tests to ensure better integrity of functions
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* More unit tests to ensure better integrity of functions
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@ -23,7 +23,6 @@
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#' @param position position adjustment of bars, either \code{"stack"} (default when \code{fun} is \code{\link{portion_df}}) or \code{"dodge"} (default when \code{fun} is \code{\link{count_df}})
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#' @param position position adjustment of bars, either \code{"stack"} (default when \code{fun} is \code{\link{portion_df}}) or \code{"dodge"} (default when \code{fun} is \code{\link{count_df}})
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#' @param x variable to show on x axis, either \code{"Antibiotic"} (default) or \code{"Interpretation"} or a grouping variable
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#' @param x variable to show on x axis, either \code{"Antibiotic"} (default) or \code{"Interpretation"} or a grouping variable
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#' @param fill variable to categorise using the plots legend, either \code{"Antibiotic"} (default) or \code{"Interpretation"} or a grouping variable
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#' @param fill variable to categorise using the plots legend, either \code{"Antibiotic"} (default) or \code{"Interpretation"} or a grouping variable
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# @param params a list with parameters passed on to the new \code{geom_rsi} layer, like \code{alpha} and \code{width}
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#' @param facet variable to split plots by, either \code{"Interpretation"} (default) or \code{"Antibiotic"} or a grouping variable
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#' @param facet variable to split plots by, either \code{"Interpretation"} (default) or \code{"Antibiotic"} or a grouping variable
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#' @param translate_ab a column name of the \code{\link{antibiotics}} data set to translate the antibiotic abbreviations into, using \code{\link{abname}}. Default behaviour is to translate to official names according to the WHO. Use \code{translate_ab = FALSE} to disable translation.
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#' @param translate_ab a column name of the \code{\link{antibiotics}} data set to translate the antibiotic abbreviations into, using \code{\link{abname}}. Default behaviour is to translate to official names according to the WHO. Use \code{translate_ab = FALSE} to disable translation.
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#' @param fun function to transform \code{data}, either \code{\link{portion_df}} (default) or \code{\link{count_df}}
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#' @param fun function to transform \code{data}, either \code{\link{portion_df}} (default) or \code{\link{count_df}}
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@ -66,10 +65,24 @@
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#' select(amox, nitr, fosf, trim, cipr) %>%
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#' select(amox, nitr, fosf, trim, cipr) %>%
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#' ggplot_rsi()
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#' ggplot_rsi()
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#'
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#'
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#' # for colourblind mode, use divergent colours from the viridis package:
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#' septic_patients %>%
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#' select(amox, nitr, fosf, trim, cipr) %>%
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#' ggplot_rsi() + scale_fill_viridis_d()
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#'
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#' # get counts instead of percentages:
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#' # get counts instead of percentages:
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#' septic_patients %>%
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#' septic_patients %>%
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#' select(amox, nitr, fosf, trim, cipr) %>%
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#' select(amox, nitr, fosf, trim, cipr) %>%
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#' ggplot_rsi(fun = count_df)
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#' ggplot_rsi(fun = count_df)
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#'
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#' # add other ggplot2 parameters as you like:
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#' septic_patients %>%
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#' select(amox, nitr, fosf, trim, cipr) %>%
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#' ggplot_rsi(width = 0.5,
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#' colour = "black",
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#' size = 1,
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#' linetype = 2,
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#' alpha = 0.25)
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#' \donttest{
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#' \donttest{
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#' # it also supports groups (don't forget to use the group on `x` or `facet`):
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#' # it also supports groups (don't forget to use the group on `x` or `facet`):
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#' septic_patients %>%
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#' septic_patients %>%
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@ -98,7 +111,7 @@
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#' left_join_microorganisms() %>%
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#' left_join_microorganisms() %>%
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#' # select full name and some antiseptic drugs
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#' # select full name and some antiseptic drugs
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#' select(mo = fullname,
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#' select(mo = fullname,
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#' cfur, gent, cipr) %>%
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#' cfur, gent, cipr) %>%
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#' # group by MO
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#' # group by MO
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#' group_by(mo) %>%
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#' group_by(mo) %>%
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#' # plot the thing, putting MOs on the facet
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#' # plot the thing, putting MOs on the facet
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@ -152,7 +165,6 @@ ggplot_rsi <- function(data,
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geom_rsi <- function(position = NULL,
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geom_rsi <- function(position = NULL,
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x = c("Antibiotic", "Interpretation"),
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x = c("Antibiotic", "Interpretation"),
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fill = "Interpretation",
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fill = "Interpretation",
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# params = list(),
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translate_ab = "official",
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translate_ab = "official",
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fun = portion_df,
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fun = portion_df,
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...) {
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...) {
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@ -182,10 +194,6 @@ geom_rsi <- function(position = NULL,
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options(get_antibiotic_names = translate_ab)
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options(get_antibiotic_names = translate_ab)
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# if (!is.list(params)) {
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# params <- as.list(params)
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# }
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ggplot2::layer(geom = "bar", stat = "identity", position = position,
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ggplot2::layer(geom = "bar", stat = "identity", position = position,
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mapping = ggplot2::aes_string(x = x, y = y, fill = fill),
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mapping = ggplot2::aes_string(x = x, y = y, fill = fill),
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data = fun, params = list(...))
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data = fun, params = list(...))
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@ -151,16 +151,18 @@ library(dplyr)
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library(ggplot2)
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library(ggplot2)
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septic_patients %>%
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septic_patients %>%
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select(amox, cipr) %>%
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select(amox, nitr, fosf, trim, cipr) %>%
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ggplot_rsi()
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ggplot_rsi()
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```
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```
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![example_2_rsi](man/figures/rsi_example2.png)
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![example_2_rsi](man/figures/rsi_example2.png)
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Adjust it with any parameter you know from the `ggplot2` package:
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```r
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```r
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septic_patients %>%
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septic_patients %>%
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select(amox, cipr) %>%
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select(amox, nitr, fosf, trim, cipr) %>%
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ggplot_rsi(x = "Interpretation", facet = "Antibiotic")
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ggplot_rsi(width = 0.5, colour = "black", size = 1, linetype = 2, alpha = 0.25)
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```
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```
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![example_3_rsi](man/figures/rsi_example3.png)
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![example_3_rsi](man/figures/rsi_example3.png)
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@ -83,10 +83,24 @@ septic_patients \%>\%
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select(amox, nitr, fosf, trim, cipr) \%>\%
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select(amox, nitr, fosf, trim, cipr) \%>\%
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ggplot_rsi()
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ggplot_rsi()
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# for colourblind mode, use divergent colours from the viridis package:
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septic_patients \%>\%
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select(amox, nitr, fosf, trim, cipr) \%>\%
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ggplot_rsi() + scale_fill_viridis_d()
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# get counts instead of percentages:
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# get counts instead of percentages:
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septic_patients \%>\%
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septic_patients \%>\%
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select(amox, nitr, fosf, trim, cipr) \%>\%
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select(amox, nitr, fosf, trim, cipr) \%>\%
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ggplot_rsi(fun = count_df)
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ggplot_rsi(fun = count_df)
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# add other ggplot2 parameters as you like:
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septic_patients \%>\%
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select(amox, nitr, fosf, trim, cipr) \%>\%
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ggplot_rsi(width = 0.5,
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colour = "black",
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size = 1,
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linetype = 2,
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alpha = 0.25)
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\donttest{
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\donttest{
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# it also supports groups (don't forget to use the group on `x` or `facet`):
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# it also supports groups (don't forget to use the group on `x` or `facet`):
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septic_patients \%>\%
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septic_patients \%>\%
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@ -115,7 +129,7 @@ septic_patients \%>\%
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left_join_microorganisms() \%>\%
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left_join_microorganisms() \%>\%
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# select full name and some antiseptic drugs
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# select full name and some antiseptic drugs
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select(mo = fullname,
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select(mo = fullname,
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cfur, gent, cipr) \%>\%
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cfur, gent, cipr) \%>\%
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# group by MO
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# group by MO
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group_by(mo) \%>\%
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group_by(mo) \%>\%
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# plot the thing, putting MOs on the facet
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# plot the thing, putting MOs on the facet
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@ -33,10 +33,13 @@ test_that("guess_atc works", {
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rep("J01FA01", 8))
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rep("J01FA01", 8))
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expect_identical(class(as.atc("amox")), "atc")
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expect_identical(class(as.atc("amox")), "atc")
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expect_identical(class(pull(antibiotics, atc)), "atc")
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expect_identical(ab_trivial_nl("Cefmenoxim"), "Cefmenoxim")
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expect_identical(ab_trivial_nl("Cefmenoxim"), "Cefmenoxim")
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expect_warning(as.atc("Z00ZZ00")) # not yet available in data set
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expect_warning(as.atc("Z00ZZ00")) # not yet available in data set
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expect_warning(as.atc("UNKNOWN"))
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expect_output(print(as.atc("amox")))
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# first 5 chars of official name
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# first 5 chars of official name
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expect_equal(as.character(as.atc(c("nitro", "cipro"))),
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expect_equal(as.character(as.atc(c("nitro", "cipro"))),
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@ -10,10 +10,13 @@ test_that("as.bactid works", {
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expect_equal(as.character(as.bactid("Escherichia species")), "ESC")
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expect_equal(as.character(as.bactid("Escherichia species")), "ESC")
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expect_equal(as.character(as.bactid(" ESCCOL ")), "ESCCOL")
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expect_equal(as.character(as.bactid(" ESCCOL ")), "ESCCOL")
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expect_equal(as.character(as.bactid("klpn")), "KLEPNE")
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expect_equal(as.character(as.bactid("klpn")), "KLEPNE")
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expect_equal(as.character(as.bactid("Klebsiella")), "KLE")
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expect_equal(as.character(as.bactid("coagulase negative")), "STACNS")
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expect_equal(as.character(as.bactid("P. aer")), "PSEAER") # not Pasteurella aerogenes
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expect_equal(as.character(as.bactid("P. aer")), "PSEAER") # not Pasteurella aerogenes
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expect_equal(as.character(as.bactid("Negative rods")), "GNR")
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expect_equal(as.character(as.bactid("Negative rods")), "GNR")
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expect_equal(as.character(as.bactid("Gram negative rods")), "GNR")
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# GLIMS
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# GLIMS
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expect_equal(as.character(as.bactid("shiboy")), "SHIBOY")
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expect_equal(as.character(as.bactid("shiboy")), "SHIBOY")
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@ -65,6 +68,8 @@ test_that("as.bactid works", {
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expect_identical(as.character(guess_bactid("S. salivarius", Lancefield = FALSE)), "STCSAL")
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expect_identical(as.character(guess_bactid("S. salivarius", Lancefield = FALSE)), "STCSAL")
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expect_identical(as.character(guess_bactid("S. salivarius", Lancefield = TRUE)), "STCGRK") # group K
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expect_identical(as.character(guess_bactid("S. salivarius", Lancefield = TRUE)), "STCGRK") # group K
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library(dplyr)
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# select with one column
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# select with one column
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expect_identical(
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expect_identical(
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septic_patients[1:10,] %>%
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septic_patients[1:10,] %>%
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@ -88,6 +93,9 @@ test_that("as.bactid works", {
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# unknown results
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# unknown results
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expect_warning(as.bactid(c("INVALID", "Yeah, unknown")))
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expect_warning(as.bactid(c("INVALID", "Yeah, unknown")))
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# too many columns
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expect_error(septic_patients %>% select(1:3) %>% as.bactid())
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# print
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# print
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expect_output(print(as.bactid(c("ESCCOL", NA))))
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expect_output(print(as.bactid(c("ESCCOL", NA))))
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@ -1,6 +1,10 @@
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context("eucast.R")
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context("eucast.R")
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test_that("EUCAST rules work", {
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test_that("EUCAST rules work", {
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expect_error(EUCAST_rules(septic_patients, col_bactid = "Non-existing"))
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expect_identical(colnames(septic_patients),
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expect_identical(colnames(septic_patients),
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colnames(suppressWarnings(EUCAST_rules(septic_patients))))
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colnames(suppressWarnings(EUCAST_rules(septic_patients))))
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@ -31,4 +35,31 @@ test_that("EUCAST rules work", {
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coli = "R", # Colistin
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coli = "R", # Colistin
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stringsAsFactors = FALSE)
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stringsAsFactors = FALSE)
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expect_equal(suppressWarnings(EUCAST_rules(a, info = FALSE)), b)
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expect_equal(suppressWarnings(EUCAST_rules(a, info = FALSE)), b)
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# pita must be R in Enterobacteriaceae when tica is R
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library(dplyr)
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expect_equal(suppressWarnings(
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septic_patients %>%
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mutate(tica = as.rsi("R"),
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pita = as.rsi("S")) %>%
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EUCAST_rules(col_bactid = "bactid") %>%
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left_join_microorganisms() %>%
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filter(family == "Enterobacteriaceae") %>%
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pull(pita) %>%
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unique() %>%
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as.character()),
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"R")
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# azit and clar must be equal to eryt
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expect_equal(suppressWarnings(
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septic_patients %>%
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mutate(azit = as.rsi("R"),
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clar = as.rsi("R")) %>%
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EUCAST_rules(col_bactid = "bactid") %>%
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pull(clar)),
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suppressWarnings(
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septic_patients %>%
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EUCAST_rules(col_bactid = "bactid") %>%
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left_join_microorganisms() %>%
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pull(eryt)))
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})
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})
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@ -25,6 +25,20 @@ test_that("first isolates work", {
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info = TRUE),
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info = TRUE),
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na.rm = TRUE)),
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na.rm = TRUE)),
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1426)
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1426)
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# and 1449 when not ignoring I
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expect_equal(
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suppressWarnings(
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sum(
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first_isolate(tbl = septic_patients %>% mutate(keyab = key_antibiotics(.)),
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col_date = "date",
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col_patient_id = "patient_id",
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col_bactid = "bactid",
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col_keyantibiotics = "keyab",
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ignore_I = FALSE,
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type = "keyantibiotics",
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info = TRUE),
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na.rm = TRUE)),
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1449)
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# and 1430 when using points
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# and 1430 when using points
|
||||||
expect_equal(
|
expect_equal(
|
||||||
suppressWarnings(
|
suppressWarnings(
|
||||||
@ -86,10 +100,34 @@ test_that("first isolates work", {
|
|||||||
na.rm = TRUE),
|
na.rm = TRUE),
|
||||||
1501)
|
1501)
|
||||||
|
|
||||||
|
# "No isolates found"
|
||||||
expect_message(septic_patients %>%
|
expect_message(septic_patients %>%
|
||||||
mutate(specimen = "test") %>%
|
mutate(specimen = "test") %>%
|
||||||
mutate(first = first_isolate(., "date", "patient_id",
|
mutate(first = first_isolate(., "date", "patient_id",
|
||||||
col_bactid = "bactid", col_specimen = "specimen",
|
col_bactid = "bactid",
|
||||||
filter_specimen = "something_unexisting")))
|
col_specimen = "specimen",
|
||||||
|
filter_specimen = "something_unexisting",
|
||||||
|
output_logical = FALSE)))
|
||||||
|
|
||||||
|
# printing of exclusion message
|
||||||
|
expect_output(septic_patients %>%
|
||||||
|
first_isolate(col_date = "date",
|
||||||
|
col_bactid = "bactid",
|
||||||
|
col_patient_id = "patient_id",
|
||||||
|
col_testcode = "sex",
|
||||||
|
testcodes_exclude = "M"))
|
||||||
|
|
||||||
|
# errors
|
||||||
expect_error(first_isolate("date", "patient_id", col_bactid = "bactid"))
|
expect_error(first_isolate("date", "patient_id", col_bactid = "bactid"))
|
||||||
|
expect_error(first_isolate(septic_patients))
|
||||||
|
expect_error(first_isolate(septic_patients,
|
||||||
|
col_date = "non-existing col",
|
||||||
|
col_bactid = "bactid"))
|
||||||
|
|
||||||
|
expect_warning(septic_patients %>%
|
||||||
|
mutate(bactid = as.character(bactid)) %>%
|
||||||
|
first_isolate(col_date = "date",
|
||||||
|
col_bactid = "bactid",
|
||||||
|
col_patient_id = "patient_id"))
|
||||||
|
|
||||||
})
|
})
|
||||||
|
Loading…
Reference in New Issue
Block a user