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"distantia_model_frame" ] }, { "page": "distantia_spatial", "title": "Spatial Representation of 'distantia()' Data Frames", "concept": [ "distantia_support" ], "topics": [ "distantia_spatial" ] }, { "page": "distantia_stats", "title": "Summary Statistics of Dissimilarity Data Frame", "concept": [ "distantia_support" ], "topics": [ "distantia_stats" ] }, { "page": "distantia_time_delay", "title": "Time Delay Between Time Series", "concept": [ "distantia_support" ], "topics": [ "distantia_time_delay" ] }, { "page": "eemian_coordinates", "title": "Site Coordinates of Nine Interglacial Sites in Central Europe", "concept": [ "example_data" ], "topics": [ "eemian_coordinates" ] }, { "page": "eemian_pollen", "title": "Pollen Counts of Nine Interglacial Sites in Central Europe", "concept": [ "example_data" ], "topics": [ "eemian_pollen" ] }, { "page": "f_binary", "title": "Data Transformation: Convert Zoo Object to Binary", "concept": [ "tsl_transformation" ], "topics": [ "f_binary" ] }, { "page": "f_clr", "title": "Data Transformation: Rowwise Centered Log-Ratio", "concept": [ "tsl_transformation" ], "topics": [ "f_clr" ] }, { "page": "f_detrend_difference", "title": "Data Transformation: Detrending and Differencing", "concept": [ "tsl_transformation" ], "topics": [ "f_detrend_difference" ] }, { "page": "f_detrend_linear", "title": "Data Transformation: Linear Detrending of Zoo Time Series", "concept": [ "tsl_transformation" ], "topics": [ "f_detrend_linear" ] }, { "page": "f_detrend_poly", "title": "Data Transformation: Polynomial Linear Detrending of Zoo Time Series", "concept": [ "tsl_transformation" ], "topics": [ "f_detrend_poly" ] }, { "page": "f_hellinger", "title": "Data Transformation: Rowwise Hellinger Transformation", "concept": [ "tsl_transformation" ], "topics": [ "f_hellinger" ] }, { "page": "f_list", "title": "Lists Available Transformation Functions", "concept": [ "tsl_transformation" ], "topics": [ "f_list" ] }, { "page": "f_log", "title": "Data Transformation: Log", "concept": [ "tsl_transformation" ], "topics": [ "f_log" ] }, { "page": "f_percent", "title": "Data Transformation: Rowwise Percentages", "concept": [ "tsl_transformation" ], "topics": [ "f_percent" ] }, { "page": "f_proportion", "title": "Data Transformation: Rowwise Proportions", "concept": [ "tsl_transformation" ], "topics": [ "f_proportion" ] }, { "page": "f_proportion_sqrt", "title": "Data Transformation: Rowwise Square Root of Proportions", "concept": [ "tsl_transformation" ], "topics": [ "f_proportion_sqrt" ] }, { "page": "f_rescale_global", "title": "Data Transformation: Global Rescaling to a New Range", "concept": [ "tsl_transformation" ], "topics": [ "f_rescale_global" ] }, { "page": "f_rescale_local", "title": "Data Transformation: Local Rescaling to a New Range", "concept": [ "tsl_transformation" ], "topics": [ "f_rescale_local" ] }, { "page": "f_scale_global", "title": "Data Transformation: Global Centering and Scaling", "concept": [ "tsl_transformation" ], "topics": [ "f_scale_global" ] }, { "page": "f_scale_local", "title": "Data Transformation: Local Centering and Scaling", "concept": [ "tsl_transformation" ], "topics": [ "f_scale_local" ] }, { "page": "f_trend_linear", "title": "Data Transformation: Linear Trend of Zoo Time Series", "concept": [ "tsl_transformation" ], "topics": [ "f_trend_linear" ] }, { "page": "f_trend_poly", "title": "Data Transformation: Polynomial Linear Trend of Zoo Time Series", "concept": [ "tsl_transformation" ], "topics": [ "f_trend_poly" ] }, { "page": "fagus_coordinates", "title": "Site Coordinates of Fagus sylvatica Stands", "concept": [ "example_data" ], "topics": [ "fagus_coordinates" ] }, { "page": "fagus_dynamics", "title": "Time Series Data from Three Fagus sylvatica Stands", "concept": [ "example_data" ], "topics": [ "fagus_dynamics" ] }, { "page": "honeycomb_climate", "title": "Rainfall and Temperature in The Americas", "concept": [ "example_data" ], "topics": [ "honeycomb_climate" ] }, { "page": "honeycomb_polygons", "title": "Hexagonal Grid", "concept": [ "example_data" ], "topics": [ "honeycomb_polygons" ] }, { "page": "importance_dtw_cpp", "title": "(C++) Contribution of Individual Variables to the Dissimilarity Between Two Time Series (Robust Version)", "concept": [ "Rcpp_importance" ], "topics": [ "importance_dtw_cpp" ] }, { "page": "importance_dtw_legacy_cpp", "title": "(C++) Contribution of Individual Variables to the Dissimilarity Between Two Time Series (Legacy Version)", "concept": [ "Rcpp_importance" ], "topics": [ "importance_dtw_legacy_cpp" ] }, { "page": "importance_ls_cpp", "title": "(C++) Contribution of Individual Variables to the Dissimilarity Between Two Aligned Time Series", "concept": [ "Rcpp_importance" ], "topics": [ "importance_ls_cpp" ] }, { "page": "momentum", "title": "Contribution of Individual Variables to Time Series Dissimilarity", "concept": [ "momentum" ], "topics": [ "momentum" ] }, { "page": "momentum_aggregate", "title": "Aggregate 'momentum()' Data Frames Across Parameter Combinations", "concept": [ "momentum_support" ], "topics": [ "momentum_aggregate" ] }, { "page": "momentum_boxplot", "title": "Momentum Boxplot", "concept": [ "momentum_support" ], "topics": [ "momentum_boxplot" ] }, { "page": "momentum_dtw", "title": "Dynamic Time Warping Variable Importance Analysis of Multivariate Time Series Lists", "concept": [ "momentum" ], "topics": [ "momentum_dtw" ] }, { "page": "momentum_ls", "title": "Lock-Step Variable Importance Analysis of Multivariate Time Series Lists", "concept": [ "momentum" ], "topics": [ "momentum_ls" ] }, { "page": "momentum_model_frame", "title": "Importance Model Frame", "concept": [ "momentum_support" ], "topics": [ "momentum_model_frame" ] }, { "page": "momentum_spatial", "title": "Spatial Representation of 'momentum()' Data Frames", "concept": [ "momentum_support" ], "topics": [ "momentum_spatial" ] }, { "page": "momentum_stats", "title": "Summary Statistics of Importance Data Frame", "concept": [ "momentum_support" ], "topics": [ "momentum_stats" ] }, { "page": "momentum_to_wide", "title": "Momentum Data Frame to Wide Format", "concept": [ "momentum_support" ], "topics": [ "momentum_to_wide" ] }, { "page": "permute_free_by_row_cpp", "title": "(C++) Unrestricted Permutation of Complete Rows", "concept": [ "Rcpp_permutation" ], "topics": [ "permute_free_by_row_cpp" ] }, { "page": "permute_free_cpp", "title": "(C++) Unrestricted Permutation of Cases", "concept": [ "Rcpp_permutation" ], "topics": [ "permute_free_cpp" ] }, { "page": "permute_restricted_by_row_cpp", "title": "(C++) Restricted Permutation of Complete Rows Within Blocks", "concept": [ "Rcpp_permutation" ], "topics": [ "permute_restricted_by_row_cpp" ] }, { "page": "permute_restricted_cpp", "title": "(C++) Restricted Permutation of Cases Within Blocks", "concept": [ "Rcpp_permutation" ], "topics": [ "permute_restricted_cpp" ] }, { "page": "psi_auto_distance", "title": "Cumulative Sum of Distances Between Consecutive Cases in a Time Series", "concept": [ "psi_demo" ], "topics": [ "psi_auto_distance" ] }, { "page": "psi_auto_sum", "title": "Auto Sum", "concept": [ "psi_demo" ], "topics": [ "psi_auto_sum" ] }, { "page": "psi_cost_matrix", "title": "Cost Matrix", "concept": [ "psi_demo" ], "topics": [ "psi_cost_matrix" ] }, { "page": "psi_cost_path", "title": "Least Cost Path", "concept": [ "psi_demo" ], "topics": [ "psi_cost_path" ] }, { "page": "psi_cost_path_sum", "title": "Sum of Distances in Least Cost Path", "concept": [ "psi_demo" ], "topics": [ "psi_cost_path_sum" ] }, { "page": "psi_distance_lock_step", "title": "Lock-Step Distance", "concept": [ "psi_demo" ], "topics": [ "psi_distance_lock_step" ] }, { "page": "psi_distance_matrix", "title": "Distance Matrix", "concept": [ "psi_demo" ], "topics": [ "psi_distance_matrix" ] }, { "page": "psi_dtw_cpp", "title": "(C++) Psi Dissimilarity Score of Two Time-Series", "concept": [ "Rcpp_dissimilarity_analysis" ], "topics": [ "psi_dtw_cpp" ] }, { "page": "psi_equation", "title": "Normalized Dissimilarity Score", "concept": [ "psi_demo" ], "topics": [ "psi_equation" ] }, { "page": "psi_equation_cpp", "title": "(C++) Equation of the Psi Dissimilarity Score", "concept": [ "Rcpp_dissimilarity_analysis" ], "topics": [ "psi_equation_cpp" ] }, { "page": "psi_ls_cpp", "title": "(C++) Psi Dissimilarity Score of Two Aligned Time Series", "concept": [ "Rcpp_dissimilarity_analysis" ], "topics": [ "psi_ls_cpp" ] }, { "page": "psi_null_dtw_cpp", "title": "(C++) Null Distribution of Dissimilarity Scores of Two Time Series", "concept": [ "Rcpp_dissimilarity_analysis" ], "topics": [ "psi_null_dtw_cpp" ] }, { "page": "psi_null_ls_cpp", "title": "(C++) Null Distribution of the Dissimilarity Scores of Two Aligned Time Series", "concept": [ "Rcpp_dissimilarity_analysis" ], "topics": [ "psi_null_ls_cpp" ] }, { "page": "subset_matrix_by_rows_cpp", "title": "(C++) Subset Matrix by 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"tsl_colnames_suffix", "title": "Append Suffix to Column Names of Time Series List", "concept": [ "tsl_management" ], "topics": [ "tsl_colnames_suffix" ] }, { "page": "tsl_count_NA", "title": "Count NA Cases in Time Series Lists", "concept": [ "tsl_management" ], "topics": [ "tsl_count_NA" ] }, { "page": "tsl_diagnose", "title": "Diagnose Issues in Time Series Lists", "concept": [ "tsl_management" ], "topics": [ "tsl_diagnose" ] }, { "page": "tsl_handle_NA", "title": "Handle NA Cases in Time Series Lists", "concept": [ "tsl_management" ], "topics": [ "tsl_handle_NA", "tsl_Inf_to_NA", "tsl_NaN_to_NA" ] }, { "page": "tsl_initialize", "title": "Transform Raw Time Series Data to Time Series List", "concept": [ "tsl_initialize" ], "topics": [ "tsl_init", "tsl_initialize" ] }, { "page": "tsl_join", "title": "Join Time Series Lists", "concept": [ "tsl_management" ], "topics": [ "tsl_join" ] }, { "page": "tsl_names_clean", "title": "Clean Time Series Names in a Time Series List", "concept": [ "tsl_management" ], "topics": [ "tsl_names_clean" ] }, { "page": "tsl_names_get", "title": "Get Time Series Names from Time Series Lists", "concept": [ "tsl_management" ], "topics": [ "tsl_names_get" ] }, { "page": "tsl_names_set", "title": "Set Time Series Names in a Time Series List", "concept": [ "tsl_management" ], "topics": [ "tsl_names_set" ] }, { "page": "tsl_names_test", "title": "Tests Naming Issues in Time Series Lists", "concept": [ "tsl_management" ], "topics": [ "tsl_names_test" ] }, { "page": "tsl_ncol", "title": "Get Number of Columns in Time Series Lists", "concept": [ "tsl_management" ], "topics": [ "tsl_ncol" ] }, { "page": "tsl_nrow", "title": "Get Number of Rows in Time Series Lists", "concept": [ "tsl_management" ], "topics": [ "tsl_nrow" ] }, { "page": "tsl_plot", "title": "Plot Time Series List", "concept": [ "tsl_visualization" ], "topics": [ "tsl_plot" ] }, { "page": "tsl_repair", "title": "Repair Issues in Time Series Lists", "concept": [ "tsl_management" ], "topics": [ "tsl_repair" ] }, { "page": "tsl_resample", "title": "Resample Time Series Lists to a New Time", "concept": [ "tsl_processing" ], "topics": [ "tsl_resample" ] }, { "page": "tsl_simulate", "title": "Simulate a Time Series List", "concept": [ "simulate_time_series" ], "topics": [ "tsl_simulate" ] }, { "page": "tsl_smooth", "title": "Smoothing of Time Series Lists", "concept": [ "tsl_processing" ], "topics": [ "tsl_smooth" ] }, { "page": "tsl_stats", "title": "Summary Statistics of Time Series Lists", "concept": [ "tsl_processing" ], "topics": [ "tsl_stats" ] }, { "page": "tsl_subset", "title": "Subset Time Series Lists by Time Series Names, Time, and/or Column Names", "concept": [ "tsl_management" ], "topics": [ "tsl_subset" ] }, { "page": "tsl_time", "title": "Time Features of Time Series Lists", "concept": [ "tsl_management" ], "topics": [ "tsl_time", "tsl_time_summary" ] }, { "page": "tsl_to_df", "title": "Transform Time Series List to Data Frame", "concept": [ "tsl_management" ], "topics": [ "tsl_to_df" ] }, { "page": "tsl_transform", "title": "Transform Values in Time Series Lists", "concept": [ "tsl_processing" ], "topics": [ "tsl_transform" ] }, { "page": "utils_as_time", "title": "Ensure Correct Class for Time Arguments", "concept": [ "internal_time_handling" ], "topics": [ "utils_as_time" ] }, { "page": "utils_block_size", "title": "Default Block Size for Restricted Permutation in Dissimilarity Analyses", "concept": [ "distantia_support" ], "topics": [ "utils_block_size" ] }, { "page": "utils_boxplot_common", "title": "Common Boxplot Component of 'distantia_boxplot()' and 'momentum_boxplot()'", "concept": [ "internal" ], "topics": [ "utils_boxplot_common" ] }, { "page": "utils_check_args_distantia", "title": "Check Input Arguments of 'distantia()'", "concept": [ "internal" ], "topics": [ "utils_check_args_distantia" ] }, { "page": "utils_check_args_matrix", "title": "Checks Input Matrix", "concept": [ "internal" ], "topics": [ 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Names", "concept": [ "internal" ], "topics": [ "utils_clean_names" ] }, { "page": "utils_cluster_hclust_optimizer", "title": "Optimize the Silhouette Width of Hierarchical Clustering Solutions", "concept": [ "distantia_support" ], "topics": [ "utils_cluster_hclust_optimizer" ] }, { "page": "utils_cluster_kmeans_optimizer", "title": "Optimize the Silhouette Width of K-Means Clustering Solutions", "concept": [ "distantia_support" ], "topics": [ "utils_cluster_kmeans_optimizer" ] }, { "page": "utils_cluster_silhouette", "title": "Compute Silhouette Width of a Clustering Solution", "concept": [ "distantia_support" ], "topics": [ "utils_cluster_silhouette" ] }, { "page": "utils_coerce_time_class", "title": "Coerces Vector to a Given Time Class", "concept": [ "internal_time_handling" ], "topics": [ "utils_coerce_time_class" ] }, { "page": "utils_color_breaks", "title": "Auto Breaks for Matrix Plotting Functions", "concept": [ "internal_plotting" ], "topics": [ "utils_color_breaks" ] }, { 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"utils_line_guide", "title": "Guide for Time Series Plots", "concept": [ "internal_plotting" ], "topics": [ "utils_line_guide" ] }, { "page": "utils_matrix_guide", "title": "Color Guide for Matrix Plot", "concept": [ "internal_plotting" ], "topics": [ "utils_matrix_guide" ] }, { "page": "utils_matrix_plot", "title": "Plot Distance or Cost Matrix and Least Cost Path", "concept": [ "internal_plotting" ], "topics": [ "utils_matrix_plot" ] }, { "page": "utils_new_time", "title": "New Time for Time Series Aggregation", "concept": [ "internal_time_handling" ], "topics": [ "utils_new_time", "utils_new_time_type" ] }, { "page": "utils_optimize_loess", "title": "Optimize Loess Models for Time Series Resampling", "concept": [ "tsl_processing_internal" ], "topics": [ "utils_optimize_loess" ] }, { "page": "utils_optimize_spline", "title": "Optimize Spline Models for Time Series Resampling", "concept": [ "tsl_processing_internal" ], "topics": [ "utils_optimize_spline" ] }, { "page": 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