Man pages for gcplyr
Wrangle and Analyze Growth Curve Data
| auc | Calculate area under the curve |
| block_tidydesign | Turn tidydesign into block format |
| calc_deriv | Calculate derivatives of vector of data |
| CentroidFunctions | Calculate centroid |
| doubling_time | Calculate doubling time equivalent of per-capita growth rate |
| example_design_tidy | Design for example growth curve data A tidy-shaped dataset... |
| example_widedata | Example noisy growth curve data in wide format |
| example_widedata_noiseless | Example growth curve data in wide format |
| ExtremaFunctions | Find local extrema of a numeric vector |
| extr_val | Extract parts of an object |
| first_peak | Find the first local maxima of a numeric vector |
| from_excel | A function that converts base-26 Excel-style letters to... |
| gc_smooth.spline | Fit a Smoothing Spline |
| import_blockdesigns | Import blockdesigns |
| import_blockmeasures | Import blockmeasures |
| lag_time | Calculate lag time |
| make_design | Make design data.frame(s) |
| make_designpattern | Make design pattern |
| make_example | Create R objects or files as seen in vignette examples |
| makemethod_train_smooth_data | Create method argument for train of growth curve smoothers |
| make_tidydesign | Make tidy design data.frames |
| merge_dfs | Collapse a list of dataframes, or merge two dataframes... |
| MinMaxGC | Maxima and Minima |
| MovingWindowFunctions | Moving window smoothing |
| paste_blocks | Paste a list of blocks into a single block |
| predict_interpolation | Predict data by linear interpolation from existing data |
| print_df | Nicely print the contents of a data.frame |
| read_blocks | Read blocks |
| read_tidys | Read tidy-shaped files |
| read_wides | Read wides |
| separate_tidy | Separate a column into multiple columns |
| smooth_data | Smooth data |
| solve_linear | Return missing information about a line |
| ThresholdFunctions | Find point(s) when a numeric vector crosses some threshold |
| to_excel | A function that converts numbers into base-26 Excel-style... |
| train_smooth_data | Test efficacy of different smoothing parameters |
| trans_block_to_wide | Transform blocks to wides |
| trans_wide_to_tidy | Pivot widemeasures longer |
| uninterleave | Uninterleave list |
| WhichMinMaxGC | Where is the Min() or Max() or first TRUE or FALSE? |
| write_blocks | Write block designs to csv |
