Rcatch22 is an R package for the calculation of 22 CAnonical
Time-series CHaracteristics (catch). The package is an efficient
implementation that calculates time-series features coded in C.
The main function of the package is catch22_all which
automates the computation of the 22 features. This can be run in a
one-liner:
Taking a look at the returned dataframe, we can see a nice tidy data structure:
outs
## names values
## 1 DN_HistogramMode_5 0.0603841849
## 2 DN_HistogramMode_10 -0.1977360446
## 3 CO_f1ecac 1.5765511170
## 4 CO_FirstMin_ac 2.0000000000
## 5 CO_HistogramAMI_even_2_5 0.0670291814
## 6 CO_trev_1_num 0.8933181032
## 7 MD_hrv_classic_pnn40 1.0000000000
## 8 SB_BinaryStats_mean_longstretch1 6.0000000000
## 9 SB_TransitionMatrix_3ac_sumdiagcov 0.0009862939
## 10 PD_PeriodicityWang_th0_01 3.0000000000
## 11 CO_Embed2_Dist_tau_d_expfit_meandiff 0.0720758626
## 12 IN_AutoMutualInfoStats_40_gaussian_fmmi 2.0000000000
## 13 FC_LocalSimple_mean1_tauresrat 1.0000000000
## 14 DN_OutlierInclude_p_001_mdrmd 0.1200000000
## 15 DN_OutlierInclude_n_001_mdrmd 0.2200000000
## 16 SP_Summaries_welch_rect_area_5_1 0.1260290016
## 17 SB_BinaryStats_diff_longstretch0 4.0000000000
## 18 SB_MotifThree_quantile_hh 2.1878292196
## 19 SC_FluctAnal_2_rsrangefit_50_1_logi_prop_r1 0.7428571429
## 20 SC_FluctAnal_2_dfa_50_1_2_logi_prop_r1 0.7428571429
## 21 SP_Summaries_welch_rect_centroid 1.5707963268
## 22 FC_LocalSimple_mean3_stderr 1.1977189052An option to include the mean and standard deviation as features in
addition to catch22 is available through setting the
catch24 argument to TRUE:
outs2 <- catch22_all(data, catch24 = TRUE)
outs2
## names values
## 1 DN_HistogramMode_5 0.0603841849
## 2 DN_HistogramMode_10 -0.1977360446
## 3 CO_f1ecac 1.5765511170
## 4 CO_FirstMin_ac 2.0000000000
## 5 CO_HistogramAMI_even_2_5 0.0670291814
## 6 CO_trev_1_num 0.8933181032
## 7 MD_hrv_classic_pnn40 1.0000000000
## 8 SB_BinaryStats_mean_longstretch1 6.0000000000
## 9 SB_TransitionMatrix_3ac_sumdiagcov 0.0009862939
## 10 PD_PeriodicityWang_th0_01 3.0000000000
## 11 CO_Embed2_Dist_tau_d_expfit_meandiff 0.0720758626
## 12 IN_AutoMutualInfoStats_40_gaussian_fmmi 2.0000000000
## 13 FC_LocalSimple_mean1_tauresrat 1.0000000000
## 14 DN_OutlierInclude_p_001_mdrmd 0.1200000000
## 15 DN_OutlierInclude_n_001_mdrmd 0.2200000000
## 16 SP_Summaries_welch_rect_area_5_1 0.1260290016
## 17 SB_BinaryStats_diff_longstretch0 4.0000000000
## 18 SB_MotifThree_quantile_hh 2.1878292196
## 19 SC_FluctAnal_2_rsrangefit_50_1_logi_prop_r1 0.7428571429
## 20 SC_FluctAnal_2_dfa_50_1_2_logi_prop_r1 0.7428571429
## 21 SP_Summaries_welch_rect_centroid 1.5707963268
## 22 FC_LocalSimple_mean3_stderr 1.1977189052
## 23 DN_Mean 0.0253627299
## 24 DN_Spread_Std 1.0373941318A list of the time-series features included in Rcatch22
can be viewed using the included feature_list vector:
Rcatch22::feature_list
## [1] "DN_HistogramMode_5"
## [2] "DN_HistogramMode_10"
## [3] "CO_f1ecac"
## [4] "CO_FirstMin_ac"
## [5] "CO_HistogramAMI_even_2_5"
## [6] "CO_trev_1_num"
## [7] "MD_hrv_classic_pnn40"
## [8] "SB_BinaryStats_mean_longstretch1"
## [9] "SB_TransitionMatrix_3ac_sumdiagcov"
## [10] "PD_PeriodicityWang_th0_01"
## [11] "CO_Embed2_Dist_tau_d_expfit_meandiff"
## [12] "IN_AutoMutualInfoStats_40_gaussian_fmmi"
## [13] "FC_LocalSimple_mean1_tauresrat"
## [14] "DN_OutlierInclude_p_001_mdrmd"
## [15] "DN_OutlierInclude_n_001_mdrmd"
## [16] "SP_Summaries_welch_rect_area_5_1"
## [17] "SB_BinaryStats_diff_longstretch0"
## [18] "SB_MotifThree_quantile_hh"
## [19] "SC_FluctAnal_2_rsrangefit_50_1_logi_prop_r1"
## [20] "SC_FluctAnal_2_dfa_50_1_2_logi_prop_r1"
## [21] "SP_Summaries_welch_rect_centroid"
## [22] "FC_LocalSimple_mean3_stderr"