Man pages for egenn/rtemis
Machine Learning and Visualization
| any_constant | Check for constant columns |
| available_algorithms | Available Algorithms |
| available_draw | Available Draw Functions |
| available_themes | Print available 'rtemis' themes |
| binmat2vec | Binary matrix times character vector |
| calibrate.Classification | Calibrate Binary Classification Models |
| calibrate.ClassificationRes | Calibrate Cross-validated Binary Classification Models |
| catrange | Print range of continuous variable |
| catsize | Print Size |
| check_data | Check Data |
| choose_theme | Select an rtemis theme |
| classification_metrics | Classification Metrics |
| class_imbalance | Class Imbalance |
| clean_colnames | Clean column names |
| clean_names | Clean names |
| cluster | Perform Clustering |
| col2grayscale | Color to Grayscale |
| col2hex | Convert R color to hexadecimal code |
| color_adjust | Adjust HSV Color |
| color_fade | Fade color towards target |
| colorgrad | Color Gradient |
| color_invertRGB | Invert Color in RGB space |
| color_mix | Create an alternating sequence of graded colors |
| color_op | Simple Color Operations |
| crules | Combine rules |
| ddb_collect | Collect a lazy-read duckdb table |
| ddb_data | Read CSV using DuckDB |
| ddSci | Format Numbers for Printing |
| decomp | Perform Data Decomposition |
| desaturate | Pastelify a color (make a color more pastel) |
| describe | Describe rtemis object |
| df_movecolumn | Move data frame column |
| drange | Set Dynamic Range |
| draw_3Dscatter | Interactive 3D Scatter Plots |
| draw_bar | Interactive Barplots |
| draw_box | Interactive Boxplots & Violin plots |
| draw_calibration | Draw calibration plot |
| draw_confusion | Plot confusion matrix |
| draw_dist | Draw Distributions using Histograms and Density Plots |
| draw_fit | True vs. Predicted Plot |
| draw_graphD3 | Plot graph using 'networkD3' |
| draw_graphjs | Plot network using 'threejs::graphjs' |
| draw_heat | Heatmap with 'plotly' |
| draw_heatmap | Interactive Heatmaps |
| draw_leaflet | Plot interactive choropleth map using 'leaflet' |
| draw_pie | Interactive Pie Chart |
| draw_protein | Plot an amino acid sequence with annotations |
| draw_pvals | Barplot p-values using draw_bar |
| draw_roc | Draw ROC curve |
| draw_scatter | Interactive Scatter Plots |
| draw_spectrogram | Interactive Spectrogram |
| draw_table | Simple HTML table |
| draw_ts | Interactive Timeseries Plots |
| draw_varimp | Interactive Variable Importance Plot |
| draw_volcano | Volcano Plot |
| draw_xt | Plot timeseries data |
| dt_describe | Describe data.table |
| dt_get_column_attr | Tabulate column attributes |
| dt_index_attr | Index columns by attribute name & value |
| dt_inspect_type | Inspect column types |
| dt_keybin_reshape | Long to wide key-value reshaping |
| dt_merge | Merge data.tables |
| dt_names_by_attr | List column names by attribute |
| dt_names_by_class | List column names by class |
| dt_nunique_perfeat | Number of unique values per feature |
| dt_pctmatch | Get N and percent match of values between two columns of two... |
| dt_pctmissing | Get percent of missing values from every column |
| dt_set_autotypes | Set column types automatically |
| dt_set_clean_all | Clean column names and factor levels in-place |
| dt_set_cleanfactorlevels | Clean factor levels of data.table in-place |
| dt_set_logical2factor | Convert data.table logical columns to factors |
| dt_set_one_hot | Convert data.table's factor to one-hot encoding in-place |
| explain | Explain Supervised |
| factorize | Factor Analysis |
| factor_NA2missing | Factor NA to "missing" level |
| fct_describe | Describe factor |
| features | Get features (all columns except the last one) |
| fwhm2sigma | FWHM to Sigma |
| get_factor_levels | Get factor levels from data.frame or similar |
| get_loaded_pkg_version | Get version of all loaded packages (namespaces) |
| get_mode | Get the mode of a factor or integer |
| getnames | Get names by string matching |
| get-names | Get factor/numeric/logical/character names from... |
| getnamesandtypes | Get data.frame names and types |
| get_vars_from_rules | Extract variable names from rules |
| ggtheme_dark | 'rtemis' 'ggplot2' dark theme |
| ggtheme_light | 'rtemis' 'ggplot2' light theme |
| gmean | Geometric mean |
| grapes-BC-grapes | Binary matrix times character vector |
| graph_node_metrics | Node-wise (i.e. vertex-wise) graph metrics |
| gt_table | Greater-than Table |
| init_project_dir | Initialize Project Directory |
| inspect_type | Inspect character and factor vector |
| is_constant | Check if vector is constant |
| is_discrete | Check if variable is discrete (factor or integer) |
| labelify | Format text for label printing |
| list2csv | Write list elements to CSV files |
| lotri2edgeList | Connectivity Matrix to Edge List |
| make_path | Expand, normalize, concatenate, clean path |
| matchcases | Match cases by covariates |
| mgetnames | Get names by string matching multiple patterns |
| multigplot | Multipanel *ggplot2* plots |
| nCr | n Choose r |
| one_hot2factor | Convert one-hot encoded matrix to factor |
| outcome | Get last column as a vector |
| permute | Create permutations |
| pfread | Read delimited file in parts |
| plot.Classification | Plot Classification |
| plot.Regression | Plot Regression |
| plot_roc | Plot ROC curve |
| plot.SupervisedRes | Plot SupervisedRes |
| plot_varimp | Plot Variable Importance |
| predict.nullmod | 'rtemis' internal: predict for an object of class 'nullmod' |
| preprocess | Preprocess Data |
| present | Present rtemis object |
| present.list | Present list of Supervised or SupervisedRes objects |
| previewcolor | Preview color |
| psd | Population Standard Deviation |
| qstat | SGE qstat |
| read | Read tabular data from a variety of formats |
| recycle | Recycle values of vector to match length of target |
| regression_metrics | Regression Metrics |
| resample | Resample data |
| rnormmat | Random Normal Matrix |
| rtemis-package | 'rtemis': Machine Learning and Visualization |
| rtpalette | Color Palettes |
| rt_reactable | View table using reactable |
| rule_dist | Rule distance |
| rules2medmod | Convert rules from cutoffs to median/mode and range |
| runifmat | Random Uniform Matrix |
| setdiffsym | Symmetric Set Difference |
| set_outcome | Move outcome to last column |
| setup_CART | Setup CART Hyperparameters |
| setup_CMeans | Setup CMeansParameters |
| setup_GAM | Setup GAM Hyperparameters |
| setup_GLM | Setup GLM Hyperparameters |
| setup_GLMNET | Setup GLMNET Hyperparameters |
| setup_GridSearch | Setup Grid Search Parameters |
| setup_HardCL | Setup HardCLParameters |
| setup_ICA | setup_ICA |
| setup_Isotonic | Setup Isotonic Hyperparameters |
| setup_KMeans | Setup KMmeansParameters |
| setup_LightCART | Setup LightCART Hyperparameters |
| setup_LightGBM | Setup LightGBM Hyperparameters |
| setup_LightRF | Setup LightRF Hyperparameters |
| setup_LightRuleFit | Setup LightRuleFit Hyperparameters |
| setup_NeuralGas | Setup NeuralGasParameters |
| setup_NMF | Setup NMF parameters. |
| setup_PCA | Setup PCA parameters. |
| setup_Preprocessor | Setup 'PreprocessorParameters' |
| setup_RadialSVM | Setup RadialSVM Hyperparameters |
| setup_Resampler | Setup Resampler |
| setup_TabNet | Setup TabNet Hyperparameters |
| setup_tSNE | Setup tSNE parameters. |
| setup_UMAP | Setup UMAP parameters. |
| sge_submit | Submit expression to SGE grid |
| size | Size of matrix or vector |
| sparsernorm | Sparse rnorm |
| summarize | Summarize numeric variables |
| synth_multimodal | Create "Multimodal" Synthetic Data |
| synth_reg_data | Synthesize Simple Regression Data |
| table1 | Table 1 |
| theme | Themes for draw_* functions |
| train | Train Supervised Learning Models |
| uci_heart_failure | UCI Heart Failure Data |
| uniprot_get | Get protein sequence from UniProt |
| uniquevalsperfeat | Unique values per feature |
| vec2df | Vector to data.frame |
| winsorize | Winsorize vector |
| xlsx2list | Read all sheets of an XLSX file into a list |
| xtdescribe | Describe longitudinal dataset |
| zip2longlat | Get Longitude and Lattitude for zip code(s) |
| zipdist | Get distance between pairs of zip codes |
