Man pages for PrenolanM/rsegmenter
What the Package Does (One Line, Title Case)
| add_spss_display | Add display width. |
| add_spss_format | Add variable format. |
| add_spss_labels | Add variable labels. |
| add_spss_value_codes | Add value codes. |
| add_spss_value_labels | Add value labels. This function should always be called after... |
| add_table_labels | Adds user friendly labels to the profile tables |
| avg_loading | assigns segments based on average factor loading |
| check_flatline | Returns the max percentage of responses that are the same per... |
| col_ind_tab | col_ind_tab. |
| col_tab | col_tab. |
| confusion_matrix | creates confusion matrix |
| create_algorithm | Creates an excel workbook with two worksheets. The first... |
| crosstab_segmentation | Create a segment variable by assigning a unique code to every... |
| explore_missings | Explore missing values at variable and respondent levels |
| export_factor_loadings | Exports factor loadings to .xlsx format. Each table will be... |
| export_profile_tables | Exports cross tables to .xlsx format. Each table will be... |
| extract_datamap | Returns a data.frame containing a mapping between variables,... |
| extract_factor_loadings | Extract factor loadings for each segment solution from factor... |
| extract_factor_scores | Extract factor scores for each segment solution from factor... |
| extract_factor_segments | Extract segments from factor analysis segment solutions and... |
| extract_kmeans_segments | Extract segments from lca segment solutions and stores each... |
| extract_lca_segments | Extract segments from lca segment solutions and stores each... |
| factor_segmentation | Runs factor analysis with varimax rotation using the psych... |
| hierarchical_segmentation | runs hierarchical clustering using hclust |
| kmeans_segmentation | runs kmeans using the stats package |
| kmediods_segmentation | runs kmediods |
| lca_segmentation | Runs Latent Class Analysis using the poLCA package. |
| lda | Runs Linear Discriminant Analysis using the MASS package.... |
| mahalanobis_outlier | Determine outliers based on mahalanobis distance |
| max_score | assigns segments based on max factor score |
| pipe | Pipe operator |
| profile_table_2 | Creates a list of data.frame elements. Each data.frame... |
| profile_table_col_index | Create col % index profile tables of all specified variables... |
| profile_table_col_perc | Create col % profile tables of all specified variables by... |
| profile_table_raw | Create raw count profile tables of all specified variables by... |
| profile_table_row_perc | Create row % profile tables of all specified variables by... |
| profile_table_totals | Create total summary tables. |
| raw_tab | raw_tab. |
| read_data | loads data from various sources for now it is limited to .csv... |
| row_tab | row_tab. |
| store_spss_attr | Returns a list containing the label, format and display width... |
| test_datamap | datamap corresponding to test_seg_labelled data file. |
| test_seg_labelled | Randomly generated data in SPSS format with 1000 rows, 2... |
| test_seg_unlabelled | Randomly generated data in SPSS format with 1000 rows, 2... |
