Function reference • ctmmweb

Package Intro
`ctmmweb`	ctmmweb: A web app package for `ctmm`
Start the app
`app()`	Start ctmm web app
Basic Data Structure for app Input ctmm telemetry data need to be converted to `data.table` for app uses
`as_tele_list()`	Coerce telemetry object to list
`report()`	Report data summary on telemetry list
`collect()`	Collect location and info `data.table` from telemetry list
Plot Location and Time
`BIGGER_THEME` `BIGGER_KEY` `CENTER_TITLE`	Override some ggplot2 default theme settings
`plot_loc()`	Plot animal locations subset with all as background
`plot_loc_facet()`	Plot animal locations in facet
`plot_time()`	Plot animal sampling time histogram in facet
Variograms, Models, Home Range Estimation, Occurrence
`summary_tried_models()`	Generate formated model summary table from tried models results
`flatten_models()`	Flatten model list
`overlap_2d_to_1d()`	Convert overlap result 2d table to combination rows
`overlap_matrix_to_dt()`	Convert overlap result matrix to data.table
`plot_vario()`	Plot a group of empirical or modeled variograms.
`plot_ud()`	Plot a group of home ranges or occurrences
Map
`base_map()`	Build a leaflet base map
`point_map()` `range_map()` `point_range_map()` `heat_map()`	Build maps of animal locations
`add_control()`	Add layer control for leaflet map
Parallel Computing
`align_lists()`	Combine multiple lists into one list by aligning each item
`par_lapply()`	Parallel apply function to list in all platforms
`par_try_models()` `par_fit_models()`	Parallel fitting models on telemetry list
`par_hrange_each()`	Parallel calculate home range separately
`par_occur()`	Parallel calculate occurrence from telemetry and model list
Misc Utilitiy Functions
`assign_distance()`	Calculate distance to median center for each animal location
`assign_speed()`	Calculate speed for each animal location
`pick()`	Pick subset from telemetry object/list
`JS.logify()` `JS.onload()`	JS Functions To Logify A `sliderInput`
`multi_title()` `multi_color_title()` `multi_color_multi_line_title()`	Multiple Colored Plot Title
`zip_folder()`	Compress a folder into zip
`get_names()`	Extract vector of names from `data.table`
`%>%`	Pipe operator

Reference

Package Intro

Start the app

Basic Data Structure for app

Plot Location and Time

Variograms, Models, Home Range Estimation, Occurrence

Map

Parallel Computing

Misc Utilitiy Functions