Man pages for HOPE-UIB-BIO/R-Ratepol-package
R-Ratepol: Estimating Rate of Change in Temporal Sequences
| check_data | Check the data |
| detect_peak_points | Detect significant peak points |
| detect_sni | Calculate signal-to-noise index (SNI) for a charcoal record |
| estimate_dissimilarity_coefficient | Calculate the dissimilarity coeficient |
| estimate_roc | RRatepol: Estimate rate of change |
| example_data | Pollen data from four European sequences the Neotoma database... |
| extract_data | Extract and check the data |
| fc_detect_peak_points | Detect significant peak points |
| fc_estimate_RoC | RRatepol: Estimate rate of change |
| fc_plot_RoC_sequence | Function to plot the Rate-of-Change sequence |
| make_bins | Create template for RoC estimations |
| make_trend | Predict data for certain trend |
| pipe | Pipe operator |
| plot_roc | Function to plot the Rate-of-Change sequence |
| prepare_data | Prepare data for single RoC estimation |
| reduce_data | Reduce datasets |
| reduce_data_simple | Reduce datasets in merged format |
| RRatepol-package | RRatepol: R-Ratepol: Estimating Rate of Change in Temporal... |
| run_iteration | Run a single interation of RoC estimation |
| smooth_community_data | Smooth the community data |
| standardise_community_data | Standardise the community data |
| subset_community | Subset data to only contain community (taxa) |
| subset_samples | Subsetting levels in each Working units (WU) |
| transform_into_proportions | Transform community data into proportions |
