View source: R/selected_position.R
id_to_sequence_position | R Documentation |
id_to_sequence_positon
converts selected columns in the gene.alignment.tables visualisation to positions in the original sequence dataset.
id_to_sequence_position(id, shiny.input)
id |
InputID of the format aDTXXXXX_n_m_columns_selected from the |
shiny.input |
The input object of the Shiny app |
## Not run: ## create a set of reactiveValues to store the selected column ids selected_col_values <- reactiveValues() ## observe all input values matching the format aDTXXXXX_n_m_columns_selected observe({ if (!is.null(input[[paste0(alignment.dt.unique.id, "_1_", table_width, "_rows_current")]])) { selected_col_values[["previous"]] <- isolate(selected_col_values[["current"]]) all_inputs <- isolate(reactiveValuesToList(input)) inputs_selected_cols <- grepl( paste0( alignment.dt.unique.id, "_[0-9]{1,}_[0-9]{1,}_columns_selected" ), names(all_inputs) ) inputs_with_nulls <- all_inputs[inputs_selected_cols] inputs_selected_cols <- setNames(inputs_with_nulls, names(all_inputs)[inputs_selected_cols]) selected_positions <- lapply(names(inputs_selected_cols), function(id) { id_to_sequence_position(id, shiny.input = input) }) %>% unlist() selected_positions } else { if (is.null(selected_col_values[["current"]])){ selected_positions <- NULL } else { selected_positions <- selected_col_values[["current"]] } } selected_col_values[["current"]] <- selected_positions }) ## End(Not run)
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