iatlas.modules::distributions_plot_server(
"distplot3",
sample_data_function = shiny::reactive(
function(.feature){
iris %>%
dplyr::as_tibble() %>%
dplyr::rename("group_name" = .data$Species) %>%
dplyr::mutate(
"sample_name" = as.character(1:dplyr::n()),
"group_name" = as.character(.data$group_name),
"dataset_name" = "Iris"
) %>%
tidyr::pivot_longer(
!c("group_name", "sample_name", "dataset_name"),
names_to = "feature_name",
values_to = "feature_value"
) %>%
dplyr::mutate(
"feature_display" = stringr::str_replace(.data$feature_name, "\\.", " "),
"feature_class" = stringr::str_extract(.data$feature_name, "([[:alpha:]]+)"),
) %>%
dplyr::filter(.data$feature_name == .feature) %>%
dplyr::select(
"group_name", "sample_name", "feature_name", "feature_value", "dataset_name"
)
}
),
feature_data = shiny::reactive(
iris %>%
dplyr::as_tibble() %>%
dplyr::mutate("sample_name" = as.character(1:dplyr::n())) %>%
tidyr::pivot_longer(
!c("Species", "sample_name"),
names_to = "feature_name",
values_to = "feature_value"
) %>%
dplyr::select("feature_name") %>%
dplyr::distinct() %>%
dplyr::mutate(
"feature_display" = stringr::str_replace(.data$feature_name, "\\.", " "),
"Class1" = stringr::str_extract(.data$feature_name, "^[[:alpha:]]+"),
"Class2" = stringr::str_extract(.data$feature_name, "[[:alpha:]]+$"),
)
),
group_data = shiny::reactive(
iris %>%
dplyr::as_tibble() %>%
dplyr::select("group_name" = "Species") %>%
dplyr::distinct() %>%
dplyr::mutate(
"group_name" = as.character(.data$group_name),
"group_display" = stringr::str_to_title(.data$group_name),
"group_description" = stringr::str_c("Iris Species: ", .data$group_name),
)
),
drilldown = shiny::reactive(T),
distplot_xlab = shiny::reactive("Species")
)
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