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R/module_colur_picker.R

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@@ -58,7 +58,6 @@ colour_picker_srv <- function(id, x, default_colors) {
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}
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#' Color palette discrete
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#'
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#' To specify custom discrete colors to `plotly` or `ggplot` elements one needs to specify a vector named by

R/tm_g_bivariate_picks.R

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@@ -386,7 +386,6 @@ srv_g_bivariate.picks <- function(id,
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teal::validate_has_data(anl[, c(x_name, y_name), drop = FALSE], 3, complete = TRUE, allow_inf = FALSE)
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cl <- bivariate_plot_call(
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data_name = "anl",
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x = x_name,

R/tm_t_reactable.R

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@@ -34,8 +34,9 @@ ui_t_reactables <- function(id, decorators = list()) {
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}
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srv_t_reactables <- function(
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id, data, filter_panel_api, datanames,
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colnames = list(), decorators = list(), reactable_args = list()) {
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id, data, filter_panel_api, datanames,
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colnames = list(), decorators = list(), reactable_args = list()
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) {
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moduleServer(id, function(input, output, session) {
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datanames_r <- .validate_datanames(datanames = datanames, data = data)
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colnames_r <- reactive({

R/utils.R

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@@ -450,7 +450,8 @@ children <- function(x, dataset_name = character(0)) {
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#' @param plotly_selected (`reactive`)
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#' @param children_datanames (`character`)
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.plotly_selected_filter_children <- function(
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data, plot_dataname, xvar, yvar, plotly_selected, children_datanames) {
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data, plot_dataname, xvar, yvar, plotly_selected, children_datanames
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) {
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xvar_r <- if (is.reactive(xvar)) xvar else reactive(xvar)
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yvar_r <- if (is.reactive(yvar)) yvar else reactive(yvar)
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