# CUGerm: Coefficient of uniformity of germination In germinationmetrics: Seed Germination Indices and Curve Fitting

## Description

Compute the Coefficient of uniformity of germination (CUG).

## Usage

 1 CUGerm(germ.counts, intervals, partial = TRUE) 

## Arguments

 germ.counts Germination counts at each time interval. Can be partial or cumulative as specified in the argument partial. intervals The time intervals. partial logical. If TRUE, germ.counts is considered as partial and if FALSE, it is considered as cumulative. Default is TRUE.

## Details

CUG is computed as follows \insertCiteheydecker_seed_1972,bewley_seeds_1994germinationmetrics. \loadmathjax

\mjsdeqn

CUG = \frac\sum_i=1^kN_i\sum_i=1^k(\overlineT-T_i)^2N_i

Where, \mjseqn\overlineT is the the mean germination time, \mjseqnT_i is the time from the start of the experiment to the \mjseqnith interval, \mjseqnN_i is the number of seeds germinated in the \mjseqnith time interval (not the accumulated number, but the number corresponding to the \mjseqnith interval), and \mjseqnk is the total number of time intervals.

## Value

The value of the coefficient of uniformity of germination as \mjseqn\mathrmtime^-2.

## References

\insertAllCited

GermSynchrony, MeanGermTime
  1 2 3 4 5 6 7 8 9 10 11 x <- c(0, 0, 0, 0, 4, 17, 10, 7, 1, 0, 1, 0, 0, 0) y <- c(0, 0, 0, 0, 4, 21, 31, 38, 39, 39, 40, 40, 40, 40) int <- 1:length(x) # From partial germination counts #---------------------------------------------------------------------------- CUGerm(germ.counts = x, intervals = int) # From cumulative germination counts #---------------------------------------------------------------------------- CUGerm(germ.counts = y, intervals = int, partial = FALSE)