Litter Analysis
Adjusted Boxplot Statistics
Create Project Directory
Simple Logger
Coefficient of Variation
Enumerate Character Vector
Enumerate Objects
Convert Sequenized Output to Character String
Check Write Permission
Intercept
Index of Dispersion
Check Date Format
Test for Natural Numbers
Mann-Kendall S Statistic
Mann-Kendall Variance of S Statistic
List Duplicates
Litter Analysis
Graphical User Interface to the litteR-package
Mann Kendall
Medcouple
p-value
Read Type Names
Read Litter Data
Read Settings File
Sample From an ECDF
Regional Kendall Test for Trend
Relative Median Absolute Deviation
Rolling Statistics
Sequenize Integer Sequence
Sequenize Objects
Slope
Adjusted Boxplot Statistics for ggplot2
Test Statistic
Theil Sen Slope Estimator
Tukey's Trimean
Validation of LitteR File Formats
Wilcoxon Test
Data sets on various litter types like beach litter, riverain litter, floating litter, and seafloor litter are rapidly growing. This package offers a simple user interface to analyse these litter data in a consistent and reproducible way. It also provides functions to facilitate several kinds of litter analysis, e.g., trend analysis, power analysis, and baseline analysis. Under the hood, these functions are also used by the user interface. See Schulz et al. (2019) <doi:10.1016/j.envpol.2019.02.030> for details. MS-Windows users are advised to run 'litteR' in 'RStudio'. See our vignette: Installation manual for 'RStudio' and 'litteR'.