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{ "page": "measure_calibration", "title": "Calibration Curve Object", "topics": [ "measure_calibration", "measure_calibration-class" ] }, { "page": "measure_calibration_fit", "title": "Fit a Calibration Curve", "topics": [ "measure_calibration_fit" ] }, { "page": "measure_calibration_predict", "title": "Predict Concentrations from Calibration Curve", "topics": [ "measure_calibration_predict" ] }, { "page": "measure_calibration_verify", "title": "Verify Calibration Curve Performance", "topics": [ "measure_calibration_verify" ] }, { "page": "measure_carryover", "title": "Carryover Assessment", "concept": [ "accuracy" ], "topics": [ "measure_carryover" ] }, { "page": "measure_column_patterns", "title": "Common column naming patterns for analytical data", "topics": [ "measure_column_patterns" ] }, { "page": "measure_column_summary", "title": "Get Column Summary by Type", "topics": [ "measure_column_summary" ] }, { "page": "measure_control_chart", "title": "Generate Control Chart", "concept": [ "control-charts" ], "topics": [ "measure_control_chart" ] }, { "page": "measure_control_limits", "title": "Calculate Control Limits", "concept": [ "control-charts" ], "topics": [ "measure_control_limits" ] }, { "page": "measure_criteria", "title": "Create a Set of Acceptance Criteria", "topics": [ "measure_criteria" ] }, { "page": "measure_deming_regression", "title": "Deming Regression for Method Comparison", "concept": [ "method-comparison" ], "topics": [ "measure_deming_regression" ] }, { "page": "measure_detect_drift", "title": "Detect Drift in Analytical Data", "topics": [ "measure_detect_drift" ] }, { "page": "measure_dim_names", "title": "Get dimension names of an n-dimensional measurement", "topics": [ "measure_dim_names" ] }, { "page": "measure_dim_units", "title": "Get dimension units of an n-dimensional measurement", "topics": [ "measure_dim_units" ] }, { "page": "measure_fold", "title": "Fold 1D measurement back to n-dimensional", "topics": [ "measure_fold" ] }, { "page": "measure_gage_rr", "title": "Gage R&R (Measurement System Analysis)", "concept": [ "precision" ], "topics": [ "measure_gage_rr" ] }, { "page": "measure_grid_info", "title": "Get grid information for an n-dimensional measurement", "topics": [ "measure_grid_info" ] }, { "page": "measure_identify_columns", "title": "Identify Column Types in Analytical Data", "topics": [ "measure_identify_columns" ] }, { "page": "measure_intermediate_precision", "title": "Intermediate Precision (Between-Run Precision)", "concept": [ "precision" ], "topics": [ "measure_intermediate_precision" ] }, { "page": "measure_is_regular", "title": "Check if an n-dimensional measurement has a regular grid", "topics": [ "measure_is_regular" ] }, { "page": "measure_linearity", "title": "Linearity Assessment", "concept": [ "accuracy" ], "topics": [ "measure_linearity" ] }, { "page": "measure_lod", "title": "Calculate Limit of Detection (LOD)", "topics": [ "measure_lod" ] }, { "page": "measure_lod_loq", "title": "Calculate LOD and LOQ Together", "topics": [ "measure_lod_loq" ] }, { "page": "measure_loq", "title": "Calculate Limit of Quantitation (LOQ)", "topics": [ "measure_loq" ] }, { "page": "measure_map", "title": "Apply a Function to Each Sample's Measurements", "topics": [ "measure_map" ] }, { "page": "measure_map_safely", "title": "Apply a Function Safely to Each Sample's Measurements", "topics": [ "measure_map_safely" ] }, { "page": "measure_matrix_effect", "title": "Matrix Effect Analysis", "concept": [ "calibration" ], "topics": [ "measure_matrix_effect" ] }, { "page": "measure_ndim", "title": "Get the number of dimensions of a measurement", "topics": [ "measure_ndim" ] }, { "page": "measure_packs", "title": "List Registered Technique Packs", "topics": [ "measure_packs" ] }, { "page": "measure_passing_bablok", "title": "Passing-Bablok Regression for Method Comparison", "concept": [ "method-comparison" ], "topics": [ "measure_passing_bablok" ] }, { "page": "measure_plot_summary", "title": "Plot Summary Statistics for Measure Data", "topics": [ "measure_plot_summary" ] }, { "page": "measure_proficiency_score", "title": "Proficiency Testing Scores", "concept": [ "method-comparison" ], "topics": [ "measure_proficiency_score" ] }, { "page": "measure_project", "title": "Project n-dimensional measurement by aggregating across dimensions", "topics": [ "measure_project" ] }, { "page": "measure_quality_summary", "title": "Summarize measure data quality", "topics": [ "measure_quality_summary" ] }, { "page": "measure_repeatability", "title": "Repeatability (Within-Run Precision)", "concept": [ "precision" ], "topics": [ "measure_repeatability" ] }, { "page": "measure_reproducibility", "title": "Reproducibility (Between-Lab Precision)", "concept": [ "precision" ], "topics": [ "measure_reproducibility" ] }, { "page": "measure_sample_types", "title": "Canonical Sample Types", "topics": [ "measure_sample_types" ] }, { "page": "measure_slice", "title": "Extract slices from n-dimensional measurement", "topics": [ "measure_slice" ] }, { "page": "measure_standardize_sample_type", "title": "Standardize Sample Type Values", "topics": [ "measure_standardize_sample_type" ] }, { "page": "measure_steps", "title": "List Available Steps", "topics": [ "measure_steps" ] }, { "page": "measure_summarize", "title": "Summarize Measurements Across Samples", "topics": [ "measure_summarize" ] }, { "page": "measure_system_suitability", "title": "System Suitability Check", "concept": [ "control-charts" ], "topics": [ "measure_system_suitability" ] }, { "page": "measure_uncertainty", "title": "Quick Uncertainty Calculation", "topics": [ "measure_uncertainty" ] }, { "page": "measure_uncertainty_budget", "title": "Create an Uncertainty Budget", "topics": [ "measure_uncertainty_budget" ] }, { "page": "measure_unfold", "title": "Unfold n-dimensional measurement to 1D", "topics": [ "measure_unfold" ] }, { "page": "measure_validate_metadata", "title": "Validate Analytical Metadata", "topics": [ "measure_validate_metadata" ] }, { "page": "measure_validation_report", "title": "Create an Analytical Method Validation Report", "topics": [ "measure_validation_report" ] }, { "page": "meats_long", "title": "Fat, water and protein content of meat samples", "topics": [ "meats_long" ] }, { "page": "new_measure_list", "title": "Create a new measure list", "topics": [ "new_measure_list" ] }, { "page": "new_measure_nd_list", "title": "Create a new n-dimensional measure list", "topics": [ "new_measure_nd_list" ] }, { "page": "new_measure_nd_tbl", "title": "Create a new n-dimensional measure tibble", "topics": [ "new_measure_nd_tbl" ] }, { "page": "new_measure_tbl", "title": "Create a new measure tibble", "topics": [ "new_measure_tbl" ] }, { "page": "new_peak_model", "title": "Create a Peak Model Object", "topics": [ "new_peak_model" ] }, { "page": "optimize_deconvolution", "title": "Optimize Peak Deconvolution", "concept": [ "peak-deconvolution" ], "topics": [ "optimize_deconvolution" ] }, { "page": "outlier_threshold", "title": "Parameters for quality control steps", "topics": [ "outlier_threshold" ] }, { "page": "peak_algorithms", "title": "List Available Peak Detection Algorithms", "topics": [ "peak_algorithms" ] }, { "page": "peak_location_min", "title": "Parameters for peak normalization", "topics": [ "peak_location_max", "peak_location_min" ] }, { "page": "peak_model_area", "title": "Calculate Peak Area", "topics": [ "peak_model_area" ] }, { "page": "peak_model_bounds", "title": "Get Parameter Bounds for Optimization", "topics": [ "peak_model_bounds" ] }, { "page": "peak_model_gradient", "title": "Calculate Peak Model Gradient", "topics": [ "peak_model_gradient" ] }, { "page": "peak_model_gradient_numerical", "title": "Numerical Gradient for Peak Model", "topics": [ "peak_model_gradient_numerical" ] }, { "page": "peak_model_initial_guess", "title": "Generate Initial Parameter Guess", "topics": [ "peak_model_initial_guess" ] }, { "page": "peak_model_param_names", "title": "Get Parameter Names from Peak Model", "topics": [ "peak_model_param_names" ] }, { "page": "peak_model_value", "title": "Evaluate Peak Model", "topics": [ "peak_model_value" ] }, { "page": "peak_models", "title": "List Available Peak Models", "topics": [ "peak_models" ] }, { "page": "plot_measure_comparison", "title": "Compare Multiple Preprocessing Recipes", "topics": [ "plot_measure_comparison" ] }, { "page": "print.measure_validation_report", "title": "Print a Validation Report", "topics": [ "print.measure_validation_report" ] }, { "page": "register_measure_pack", "title": "Register a Technique Pack", "topics": [ "register_measure_pack" ] }, { "page": "register_measure_step", "title": "Register a Step from a Technique Pack", "topics": [ "register_measure_step" ] }, { "page": "register_peak_algorithm", "title": "Register a Peak Detection Algorithm", "topics": [ "register_peak_algorithm" ] }, { "page": "register_peak_model", "title": "Register a Peak Model", "topics": [ "register_peak_model" ] }, { "page": "render_validation_report", "title": "Render a Validation Report to Document Format", "topics": [ "render_validation_report" ] }, { "page": "sec_calibration", "title": "SEC/GPC Calibration Standards Summary", "topics": [ "sec_calibration" ] }, { "page": "sec_chromatograms", "title": "Simulated SEC/GPC Chromatography Data", "topics": [ "sec_chromatograms" ] }, { "page": "set_measure_roles", "title": "Set Measure Roles in a Recipe", "topics": [ "set_measure_roles" ] }, { "page": "smooth_window", "title": "Parameters for smoothing steps", "topics": [ "despike_threshold", "fourier_cutoff", "smooth_sigma", "smooth_window" ] }, { "page": "step_measure_absorbance", "title": "Convert Transmittance to Absorbance", "concept": [ "measure-preprocessing" ], "topics": [ "step_measure_absorbance" ] }, { "page": "step_measure_align_cow", "title": "Correlation Optimized Warping Alignment", "concept": [ "measure-align" ], "topics": [ "step_measure_align_cow" ] }, { "page": "step_measure_align_dtw", "title": "Dynamic Time Warping Alignment", "concept": [ "measure-align" ], "topics": [ "step_measure_align_dtw" ] }, { "page": "step_measure_align_ptw", "title": "Parametric Time Warping Alignment", "concept": [ "measure-align" ], "topics": [ "step_measure_align_ptw" ] }, { "page": "step_measure_align_reference", "title": "Align to Reference Spectrum", "concept": [ "measure-align" ], "topics": [ "step_measure_align_reference" ] }, { "page": "step_measure_align_shift", "title": "Shift Alignment via Cross-Correlation", "concept": [ "measure-align" ], "topics": [ "step_measure_align_shift" ] }, { "page": "step_measure_augment_noise", "title": "Add Random Noise to Measurements", "concept": [ "measure-augmentation" ], "topics": [ "step_measure_augment_noise" ] }, { "page": "step_measure_augment_scale", "title": "Random Intensity Scaling", "concept": [ "measure-augmentation" ], "topics": [ "step_measure_augment_scale" ] }, { "page": "step_measure_augment_shift", "title": "Add Random X-axis Shifts", "concept": [ "measure-augmentation" ], "topics": [ "step_measure_augment_shift" ] }, { "page": "step_measure_baseline_airpls", "title": "Adaptive Iteratively Reweighted Penalized Least Squares Baseline", "concept": [ "measure-baseline" ], "topics": [ "step_measure_baseline_airpls" ] }, { "page": "step_measure_baseline_als", "title": "Asymmetric Least Squares (ALS) Baseline Correction", "concept": [ "measure-baseline" ], "topics": [ "step_measure_baseline_als" ] }, { "page": "step_measure_baseline_arpls", "title": "Asymmetrically Reweighted Penalized Least Squares Baseline Correction", "concept": [ "measure-baseline" ], "topics": [ "step_measure_baseline_arpls" ] }, { "page": "step_measure_baseline_aspls", "title": "Adaptive Smoothness Penalized Least Squares Baseline", "concept": [ "measure-baseline" ], "topics": [ "step_measure_baseline_aspls" ] }, { "page": "step_measure_baseline_auto", "title": "Automatic Baseline Correction Method Selection", "concept": [ "measure-baseline" ], "topics": [ "step_measure_baseline_auto" ] }, { "page": "step_measure_baseline_custom", "title": "Custom Baseline Correction with User-Provided Function", "concept": [ "measure-baseline" ], "topics": [ "step_measure_baseline_custom" ] }, { "page": "step_measure_baseline_fastchrom", "title": "Fast Chromatography Baseline Correction", "concept": [ "measure-baseline" ], "topics": [ "step_measure_baseline_fastchrom" ] }, { "page": "step_measure_baseline_gpc", "title": "GPC/SEC Baseline Correction", "concept": [ "measure-baseline" ], "topics": [ "step_measure_baseline_gpc" ] }, { "page": "step_measure_baseline_iarpls", "title": "Improved arPLS Baseline Correction (Two-Stage)", "concept": [ "measure-baseline" ], "topics": [ "step_measure_baseline_iarpls" ] }, { "page": "step_measure_baseline_minima", "title": "Local Minima Interpolation Baseline Correction", "concept": [ "measure-baseline" ], "topics": [ "step_measure_baseline_minima" ] }, { "page": "step_measure_baseline_morph", "title": "Iterative Morphological Baseline Correction", "concept": [ "measure-baseline" ], "topics": [ "step_measure_baseline_morph" ] }, { "page": "step_measure_baseline_morphological", "title": "Morphological Baseline Correction (Erosion/Dilation)", "concept": [ "measure-baseline" ], "topics": [ "step_measure_baseline_morphological" ] }, { "page": "step_measure_baseline_poly", "title": "Polynomial Baseline Correction", "concept": [ "measure-baseline" ], "topics": [ "step_measure_baseline_poly" ] }, { "page": "step_measure_baseline_py", "title": "Python-Based Baseline Correction via pybaselines", "concept": [ "measure-baseline" ], "topics": [ "step_measure_baseline_py" ] }, { "page": "step_measure_baseline_rf", "title": "Robust Fitting Baseline Correction", "concept": [ "measure-baseline" ], "topics": [ "step_measure_baseline_rf" ] }, { "page": "step_measure_baseline_rolling", "title": "Rolling Ball Baseline Correction", "concept": [ "measure-baseline" ], "topics": [ "step_measure_baseline_rolling" ] }, { "page": "step_measure_baseline_snip", "title": "SNIP Baseline Correction", "concept": [ "measure-baseline" ], "topics": [ "step_measure_baseline_snip" ] }, { "page": "step_measure_baseline_tophat", "title": "Top-Hat Morphological Baseline Correction", "concept": [ "measure-baseline" ], "topics": [ "step_measure_baseline_tophat" ] }, { "page": "step_measure_batch_reference", "title": "Reference-Based Batch Correction", "concept": [ "batch-correction" ], "topics": [ "step_measure_batch_reference" ] }, { "page": "step_measure_bin", "title": "Spectral Binning", "concept": [ "measure-features" ], "topics": [ "step_measure_bin" ] }, { "page": "step_measure_calibrate_x", "title": "Apply X-Axis Calibration", "concept": [ "measure-preprocessing" ], "topics": [ "step_measure_calibrate_x" ] }, { "page": "step_measure_calibrate_y", "title": "Apply Y-Axis Calibration (Response Factor)", "concept": [ "measure-preprocessing" ], "topics": [ "step_measure_calibrate_y" ] }, { "page": "step_measure_center", "title": "Mean Centering", "concept": [ "measure-scaling" ], "topics": [ "step_measure_center" ] }, { "page": "step_measure_channel_align", "title": "Align Multiple Channels to a Common Grid", "concept": [ "measure-channel" ], "topics": [ "step_measure_channel_align" ] }, { "page": "step_measure_channel_combine", "title": "Combine Multiple Channels", "concept": [ "measure-channel" ], "topics": [ "step_measure_channel_combine" ] }, { "page": "step_measure_channel_ratio", "title": "Compute Ratios Between Channels", "concept": [ "measure-channel" ], "topics": [ "step_measure_channel_ratio" ] }, { "page": "step_measure_derivative", "title": "Simple Finite Difference Derivatives", "concept": [ "measure-preprocessing" ], "topics": [ "step_measure_derivative" ] }, { "page": "step_measure_derivative_gap", "title": "Gap (Norris-Williams) Derivatives", "concept": [ "measure-preprocessing" ], "topics": [ "step_measure_derivative_gap" ] }, { "page": "step_measure_despike", "title": "Remove Spikes and Outliers from Measurements", "concept": [ "measure-smoothing" ], "topics": [ "step_measure_despike" ] }, { "page": "step_measure_detrend", "title": "Remove Trend from Measurements", "concept": [ "measure-baseline" ], "topics": [ "step_measure_detrend" ] }, { "page": "step_measure_dilution_correct", "title": "Dilution Factor Correction", "concept": [ "calibration" ], "topics": [ "step_measure_dilution_correct" ] }, { "page": "step_measure_drift_linear", "title": "Linear Drift Correction", "concept": [ "drift-correction" ], "topics": [ "step_measure_drift_linear" ] }, { "page": "step_measure_drift_qc_loess", "title": "QC-Based Drift Correction Using LOESS", "concept": [ "drift-correction" ], "topics": [ "step_measure_drift_qc_loess" ] }, { "page": "step_measure_drift_spline", "title": "Spline-Based Drift Correction", "concept": [ "drift-correction" ], "topics": [ "step_measure_drift_spline" ] }, { "page": "step_measure_emsc", "title": "Extended Multiplicative Scatter Correction (EMSC)", "concept": [ "measure-preprocessing" ], "topics": [ "step_measure_emsc" ] }, { "page": "step_measure_exclude", "title": "Exclude Measurement Ranges", "concept": [ "region-operations" ], "topics": [ "step_measure_exclude" ] }, { "page": "step_measure_filter_fourier", "title": "Fourier Low-Pass Filtering", "concept": [ "measure-smoothing" ], "topics": [ "step_measure_filter_fourier" ] }, { "page": "step_measure_impute", "title": "Impute Missing Values in Measurements", "concept": [ "measure-qc" ], "topics": [ "step_measure_impute" ] }, { "page": "step_measure_input_long", "title": "Ingest Measurements from a Single Column", "concept": [ "input/output steps" ], "topics": [ "step_measure_input_long" ] }, { "page": "step_measure_input_wide", "title": "Ingest Measurements in Separate Columns", "concept": [ "input/output steps" ], "topics": [ "step_measure_input_wide" ] }, { "page": "step_measure_integrals", "title": "Calculate Region Integrals", "concept": [ "measure-features" ], "topics": [ "step_measure_integrals" ] }, { "page": "step_measure_interpolate", "title": "Interpolate Gaps in Measurement Data", "concept": [ "measure-region" ], "topics": [ "step_measure_interpolate" ] }, { "page": "step_measure_kubelka_munk", "title": "Kubelka-Munk Transformation", "concept": [ "measure-preprocessing" ], "topics": [ "step_measure_kubelka_munk" ] }, { "page": "step_measure_log", "title": "Log Transformation", "concept": [ "measure-preprocessing" ], "topics": [ "step_measure_log" ] }, { "page": "step_measure_map", "title": "Apply a Custom Function to Measurements", "concept": [ "measure-preprocessing" ], "topics": [ "step_measure_map" ] }, { "page": "step_measure_mcr_als", "title": "MCR-ALS Decomposition for Multi-Dimensional Data", "concept": [ "measure-multiway" ], "topics": [ "step_measure_mcr_als" ] }, { "page": "step_measure_moments", "title": "Calculate Statistical Moments", "concept": [ "measure-features" ], "topics": [ "step_measure_moments" ] }, { "page": "step_measure_msc", "title": "Multiplicative Scatter Correction (MSC)", "concept": [ "measure-preprocessing" ], "topics": [ "step_measure_msc" ] }, { "page": "step_measure_mw_averages", "title": "Calculate Molecular Weight Averages for SEC/GPC", "concept": [ "measure-chromatography" ], "topics": [ "step_measure_mw_averages" ] }, { "page": "step_measure_mw_distribution", "title": "Generate Molecular Weight Distribution Curve", "concept": [ "measure-chromatography" ], "topics": [ "step_measure_mw_distribution" ] }, { "page": "step_measure_mw_fractions", "title": "Calculate Molecular Weight Fractions for SEC/GPC", "concept": [ "measure-chromatography" ], "topics": [ "step_measure_mw_fractions" ] }, { "page": "step_measure_normalize_auc", "title": "Normalize by Area Under Curve", "concept": [ "measure-normalization" ], "topics": [ "step_measure_normalize_auc" ] }, { "page": "step_measure_normalize_istd", "title": "Internal Standard Normalization", "concept": [ "measure-preprocessing" ], "topics": [ "step_measure_normalize_istd" ] }, { "page": "step_measure_normalize_max", "title": "Normalize by Maximum Value", "concept": [ "measure-normalization" ], "topics": [ "step_measure_normalize_max" ] }, { "page": "step_measure_normalize_peak", "title": "Normalize to a Specific Peak Region", "concept": [ "measure-normalization" ], "topics": [ "step_measure_normalize_peak" ] }, { "page": "step_measure_normalize_range", "title": "Normalize to Range 0-1", "concept": [ "measure-normalization" ], "topics": [ "step_measure_normalize_range" ] }, { "page": "step_measure_normalize_sum", "title": "Normalize by Sum (Total Intensity)", "concept": [ "measure-normalization" ], "topics": [ "step_measure_normalize_sum" ] }, { "page": "step_measure_normalize_vector", "title": "Normalize by L2 (Euclidean) Norm", "concept": [ "measure-normalization" ], "topics": [ "step_measure_normalize_vector" ] }, { "page": "step_measure_osc", "title": "Orthogonal Signal Correction (OSC)", "concept": [ "measure-preprocessing" ], "topics": [ "step_measure_osc" ] }, { "page": "step_measure_output_long", "title": "Reorganize Measurements to Long Format", "concept": [ "input/output steps" ], "topics": [ "step_measure_output_long" ] }, { "page": "step_measure_output_wide", "title": "Reorganize Measurements to Separate Columns", "concept": [ "input/output steps" ], "topics": [ "step_measure_output_wide" ] }, { "page": "step_measure_parafac", "title": "PARAFAC Decomposition for Multi-Dimensional Data", "concept": [ "measure-multiway" ], "topics": [ "step_measure_parafac" ] }, { "page": "step_measure_peaks_deconvolve", "title": "Deconvolve Overlapping Peaks", "concept": [ "peak-operations" ], "topics": [ "step_measure_peaks_deconvolve" ] }, { "page": "step_measure_peaks_detect", "title": "Detect Peaks in Measurements", "concept": [ "peak-operations" ], "topics": [ "step_measure_peaks_detect" ] }, { "page": "step_measure_peaks_filter", "title": "Filter Peaks by Criteria", "concept": [ "peak-operations" ], "topics": [ "step_measure_peaks_filter" ] }, { "page": "step_measure_peaks_integrate", "title": "Integrate Peak Areas", "concept": [ "peak-operations" ], "topics": [ "step_measure_peaks_integrate" ] }, { "page": "step_measure_peaks_properties", "title": "Calculate Peak Properties", "concept": [ "peak-operations" ], "topics": [ "step_measure_peaks_properties" ] }, { "page": "step_measure_peaks_to_table", "title": "Convert Peaks to Tidy Table", "concept": [ "peak-operations" ], "topics": [ "step_measure_peaks_to_table" ] }, { "page": "step_measure_qc_bracket", "title": "QC Bracketing Interpolation", "concept": [ "drift-correction" ], "topics": [ "step_measure_qc_bracket" ] }, { "page": "step_measure_qc_outlier", "title": "Detect Outlier Samples", "concept": [ "measure-qc" ], "topics": [ "step_measure_qc_outlier" ] }, { "page": "step_measure_qc_saturated", "title": "Detect Saturated Measurements", "concept": [ "measure-qc" ], "topics": [ "step_measure_qc_saturated" ] }, { "page": "step_measure_qc_snr", "title": "Calculate Signal-to-Noise Ratio", "concept": [ "measure-qc" ], "topics": [ "step_measure_qc_snr" ] }, { "page": "step_measure_ratio_reference", "title": "Compute Ratio to Reference Spectrum", "concept": [ "measure-preprocessing" ], "topics": [ "step_measure_ratio_reference" ] }, { "page": "step_measure_ratios", "title": "Calculate Region Ratios", "concept": [ "measure-features" ], "topics": [ "step_measure_ratios" ] }, { "page": "step_measure_resample", "title": "Resample Measurements to New Grid", "concept": [ "region-operations" ], "topics": [ "step_measure_resample" ] }, { "page": "step_measure_savitzky_golay", "title": "Savitzky-Golay Pre-Processing", "concept": [ "measure-differencing", "measure-smoothing" ], "topics": [ 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