Man pages for polgia0/Chemometricmenus
Chemometric package
| BI_correlation | Correlation of a matrix |
| BI_covariance | Covariance of a matrix |
| BI_kendall | Kendal correlation of a matrix |
| BI_plot_cor | Plot correlation diagram |
| BI_plot_pairs | Pairs plot of two vectors |
| BI_plot_XY | Plot X-Y |
| BI_robust_MCD | Robust MCD correlation |
| BI_spearman | Spearman correlation |
| CAL_biplot | Classification Biplot |
| CAL_coefficients | Calibration coefficient |
| CAL_experimental_calculated | Experimental vs. calculated plot |
| CAL_extract | Extraction of calibration matrices |
| CAL_model_computation_PCR | PCR model |
| CAL_model_computation_PLS1 | PLS1 model |
| CAL_model_computation_PLS2 | PLS2 model |
| CAL_prediction | Calibration prediction |
| CAL_residuals | Residual of calibration |
| CAL_scores | Scores of calibration |
| CAL_xloadings | Loadings of calibration |
| chemometricmenus-package | Chemometric Menus |
| chemo_toolbar | Main toolbar |
| CL_extract | Matrix extraction |
| CL_method_LDA | LDA method |
| CL_method_QDA | QDA method |
| CL_plot_mahalanobis | Mahalanobis distance plot |
| CL_plot_mahalanobis_cat | Mahalanobis distance plot for categories |
| CL_plot_mahalanobis_obj | Mahalanobis distance plot fr objects |
| CL_prediction_LDA | Prediction on LDA method |
| CL_prediction_QDA | Prediction on QDA method |
| CL_pre_mahalanobis | Prediction Mahalanobis distance plot |
| CL_pre_mahalanobis_cat | Prediction Mahalanobis distance plot for categories |
| CL_pre_mahalanobis_obj | Prediction Mahalanobis distance plot for objects |
| DH_dataset_column | Dataset modification column wise |
| DH_dataset_row | Dataset modification row wise |
| DH_export_CSV | Export a Dataset in CSV |
| DH_export_TXT | Export a Dataset in TXT |
| DH_load_csv | Load a CSV file |
| DH_load_txt | Load a TXT file |
| DH_load_xls | Load a XLS file |
| DH_magnify | Magnify a plot |
| DH_workspace_management | Menu to handle matrix objects |
| DOE_coefficients | Coefficient of the model |
| DOE_CVresiduals_experimental | Cross validation residuals vs experiment |
| DOE_doptadd | D-optimal |
| DOE_doptimal | D-optimal |
| DOE_experimental_fitted | Plot experimental vs fitted |
| DOE_experimental_predicted | Experimental vs. predicted |
| DOE_leverage_surface | Leverage surfaces |
| DOE_model_computation | Evaluate the linear model |
| DOE_prediction | Model prediction |
| DOE_residuals_fitting | Residual vs.fitted data |
| DOE_response_surface | REsponce surface |
| DST_euclidean | Euclidian distance |
| DST_mahalanobis_MCD | Mahalanobis distance |
| DST_manhattan | Manhattan distance |
| DST_maximum | Maximum distance |
| PCA_biplot | PCA biplot |
| PCA_cont_plot_Dataset | Diagnostic plot |
| PCA_cumulative_var_plot | Cumulative Variance |
| PCA_diagnostic_cont_plot | Diagnostic plot |
| PCA_diagnostic_plot_t2q | T2-Q plot |
| PCA_diagnostic_plot_t2vsq | T2 vs Q plot |
| PCA_explained_variance_variable | Explained variance per variable |
| PCA_extract | Pca matrices |
| PCA_loading_plot_bar | Bar plot of loadings |
| PCA_loading_plot_scatter | Scatter plot of loadings |
| PCA_model_PCA | PCA analysis |
| PCA_model_varimax | Varimax Analysis |
| PCA_number_pcs_determination | Number of PCs |
| PCA_projection_training_set | Projection on training set |
| PCA_score_plot | Score plot |
| PCA_t2vsq_Dataset | T2 vs Q plot with external dataset |
| PCA_variance_plot | PCA Variance |
| TR_column_01 | Column normalization |
| TR_column_11 | Column normalization |
| TR_column_autoscale | Column autoscaling |
| TR_column_boxcox | Box Cox diagram |
| TR_column_centering | Column centering |
| TR_column_der_first | Column First derivative |
| TR_column_der_second | Column second derivative |
| TR_column_length1 | Normalization to length 1 |
| TR_column_logit | Logit transformation |
| TR_column_max100 | Rescaling with 100 maximum |
| TR_column_rubust_centerscale | Robust autoscaling |
| TR_column_scaling | Column scaling |
| TR_column_sum100 | Normalization to 100 length |
| TR_global_centering | Global centering |
| TR_global_centerlogit | Global centerlogit |
| TR_row_autoscale | Row autoscaling |
| TR_row_der_first | Row First derivative |
| TR_row_der_second | Row second derivative |
| TR_row_sum100 | Normalization to 100 length |
| UN_average_arithmetic | Arithmetic mean average of a matrix |
| UN_average_geometric | Geometric mean average of a matrix |
| UN_average_robust_huber | Huber average of a matrix |
| UN_average_robust_median | Median of a matrix |
| UN_dispersion_robust_IRQ | IRQ of a matrix |
| UN_dispersion_robust_MAD | MAD of a matrix |
| UN_dispersion_robust_sMAD | sMAD of a matrix |
| UN_dispersion_RSD | RSD dispersion of a matrix |
| UN_dispersion_sd | Standard deviation of a matrix |
| UN_dispersion_var | Variance of a matrix |
| UN_plot_boxplot | Boxplot of a vector |
| UN_plot_density | Density plot of a vector |
| UN_plot_edaplot | Edaplot of a vector |
| UN_plot_hist | Histogram of a vector |
| UN_plot_stripchart | Strip chart of a vector |
| UN_plot_Y | Plot of a vector |
| UN_summary | Summary table of a matrix |
| W3_extract | Matrix extraction |
| W3_model | 3W-PCA Analysis |
| W3_plot_conditions | Conditions plot |
| W3_plot_objects | Objects plot |
| W3_plot_rmse_conditions | Plot RMSE for Conditions |
| W3_plot_rmse_objects | Plot RMSE for Objects |
| W3_plot_rmse_variables | Plot RMSE for Variables |
| W3_plot_triplot | Triplot |
| W3_plot_variables | Variables Plot |
| W3_plot_variance | Plot explained variance |
