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(v1.1.0.9004) lose dependencies
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@ -19,7 +19,7 @@
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# Visit our website for more info: https://msberends.gitlab.io/AMR. #
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# ==================================================================== #
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#' Join a table with [microorganisms]
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#' Join [microorganisms] to a data set
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#'
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#' Join the data set [microorganisms] easily to an existing table or character vector.
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#' @inheritSection lifecycle Stable lifecycle
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@ -30,13 +30,16 @@
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#' @param by a variable to join by - if left empty will search for a column with class [`mo`] (created with [as.mo()]) or will be `"mo"` if that column name exists in `x`, could otherwise be a column name of `x` with values that exist in `microorganisms$mo` (like `by = "bacteria_id"`), or another column in [microorganisms] (but then it should be named, like `by = c("my_genus_species" = "fullname")`)
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#' @param suffix if there are non-joined duplicate variables in `x` and `y`, these suffixes will be added to the output to disambiguate them. Should be a character vector of length 2.
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#' @param ... other parameters to pass on to [dplyr::join()]
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#' @details **Note:** As opposed to the [dplyr::join()] functions of `dplyr`, [`character`] vectors are supported and at default existing columns will get a suffix `"2"` and the newly joined columns will not get a suffix. See [dplyr::join()] for more information.
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#' @details **Note:** As opposed to the [join()] functions of `dplyr`, [`character`] vectors are supported and at default existing columns will get a suffix `"2"` and the newly joined columns will not get a suffix.
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#'
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#' These functions rely on [merge()], a base R function to do joins.
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#' @inheritSection AMR Read more on our website!
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#' @export
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#' @examples
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#' left_join_microorganisms(as.mo("K. pneumoniae"))
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#' left_join_microorganisms("B_KLBSL_PNE")
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#'
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#' \dontrun{
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#' library(dplyr)
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#' example_isolates %>% left_join_microorganisms()
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#'
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@ -49,13 +52,14 @@
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#' colnames(df)
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#' df_joined <- left_join_microorganisms(df, "bacteria")
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#' colnames(df_joined)
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#' }
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inner_join_microorganisms <- function(x, by = NULL, suffix = c("2", ""), ...) {
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check_dataset_integrity()
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checked <- joins_check_df(x, by)
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x <- checked$x
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by <- checked$by
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join <- suppressWarnings(
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dplyr::inner_join(x = x, y = microorganisms, by = by, suffix = suffix, ...)
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inner_join(x = x, y = microorganisms, by = by, suffix = suffix, ...)
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)
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if (NROW(join) > NROW(x)) {
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warning("The newly joined tbl contains ", nrow(join) - nrow(x), " rows more that its original.")
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@ -71,7 +75,7 @@ left_join_microorganisms <- function(x, by = NULL, suffix = c("2", ""), ...) {
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x <- checked$x
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by <- checked$by
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join <- suppressWarnings(
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dplyr::left_join(x = x, y = microorganisms, by = by, suffix = suffix, ...)
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left_join(x = x, y = microorganisms, by = by, suffix = suffix, ...)
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)
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if (NROW(join) > NROW(x)) {
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warning("The newly joined tbl contains ", nrow(join) - nrow(x), " rows more that its original.")
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@ -87,7 +91,7 @@ right_join_microorganisms <- function(x, by = NULL, suffix = c("2", ""), ...) {
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x <- checked$x
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by <- checked$by
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join <- suppressWarnings(
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dplyr::right_join(x = x, y = microorganisms, by = by, suffix = suffix, ...)
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right_join(x = x, y = microorganisms, by = by, suffix = suffix, ...)
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)
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if (NROW(join) > NROW(x)) {
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warning("The newly joined tbl contains ", nrow(join) - nrow(x), " rows more that its original.")
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@ -103,7 +107,7 @@ full_join_microorganisms <- function(x, by = NULL, suffix = c("2", ""), ...) {
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x <- checked$x
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by <- checked$by
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join <- suppressWarnings(
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dplyr::full_join(x = x, y = microorganisms, by = by, suffix = suffix, ...)
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full_join(x = x, y = microorganisms, by = by, suffix = suffix, ...)
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)
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if (NROW(join) > NROW(x)) {
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warning("The newly joined tbl contains ", nrow(join) - nrow(x), " rows more that its original.")
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@ -119,7 +123,7 @@ semi_join_microorganisms <- function(x, by = NULL, ...) {
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x <- checked$x
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by <- checked$by
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suppressWarnings(
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dplyr::semi_join(x = x, y = microorganisms, by = by, ...)
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semi_join(x = x, y = microorganisms, by = by, ...)
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)
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}
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@ -131,7 +135,7 @@ anti_join_microorganisms <- function(x, by = NULL, ...) {
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x <- checked$x
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by <- checked$by
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suppressWarnings(
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dplyr::anti_join(x = x, y = microorganisms, by = by, ...)
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anti_join(x = x, y = microorganisms, by = by, ...)
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)
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}
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