A fork of catch22 to support Nodejs. Just npm i catch22 and you are ready.
const catch22 = require('catch22');
const data = [1,2,3,4,5,6,7,8,9,10];
const features22 = catch22.catch22(data);
const features24 = catch22.catch24(data);
const mode5 = catch22.DN_HistogramMode_5(data);
console.log('features22: ', features22);
console.log('features24: ', features24);
console.log('DN_HistogramMode_5: ', mode5);For more information, check the official 📗catch22 documentation
Following the feature descriptions:
| Function name | Short name |
|---|---|
| DN_HistogramMode_5 | mode_5 |
| DN_HistogramMode_10 | mode_10 |
| CO_f1ecac | acf_timescale |
| CO_FirstMin_ac | acf_first_min |
| CO_HistogramAMI_even_2_5 | ami2 |
| CO_trev_1_num | trev |
| MD_hrv_classic_pnn40 | high_fluctuation |
| SB_BinaryStats_mean_longstretch1 | stretch_high |
| SB_TransitionMatrix_3ac_sumdiagcov | transition_matrix |
| PD_PeriodicityWang_th0_01 | periodicity |
| CO_Embed2_Dist_tau_d_expfit_meandiff | embedding_dist |
| IN_AutoMutualInfoStats_40_gaussian_fmmi | ami_timescale |
| FC_LocalSimple_mean1_tauresrat | whiten_timescale |
| DN_OutlierInclude_p_001_mdrmd | outlier_timing_pos |
| DN_OutlierInclude_n_001_mdrmd | outlier_timing_neg |
| SP_Summaries_welch_rect_area_5_1 | centroid_freq |
| SB_BinaryStats_diff_longstretch0 | stretch_decreasing |
| SB_MotifThree_quantile_hh | entropy_pairs |
| SC_FluctAnal_2_rsrangefit_50_1_logi_prop_r1 | rs_range |
| SC_FluctAnal_2_dfa_50_1_2_logi_prop_r1 | dfa |
| SP_Summaries_welch_rect_centroid | low_freq_power |
| FC_LocalSimple_mean3_stderr | forecast_error |
| DN_Mean | mean |
| DN_Spread_Std | SD |