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TimeTrends was developed to carry out statistical and trend analyses or equivalence tests by providing a series of linked procedures to:
Import data/time data easily
box and percentile plots
display time trends with smoothing routines applied (Lowess,Gams)
statistical analysis by season (Seasonal Kendall test)
box and whisker plots by season with Kruskal-Wallis test
annual and seasonal event analysis
adjustment of data for flow variations (Lowess, Log-log, Gams)
Parametric trend analysis with equivalence testing of slope.
Equivalence testing of means
Non-parametric Kruskal-Wallis and Mann-Whitney, Wilcoxon signed rank.
Least absolute and quantile regression
determine trends through multivariate models (linear regression, generalised additive (GAM), or Loess).
False discovery rate
Handle censored data
The steps in a typical analysis are:
· open file of environmental data
· plot variable against time and fit linear and smoothing functions
· statistical Kendall analysis of trends with time and season
· seasonal box plots and event analysis
· multivariate analysis: regression, GAMs or Loess
Data and results of analyses are shown on a series of pages with tabs.
Most analyses will usually have both graphical and text outputs, with the results displayed on a graph page and text output on the results page.