MeanGermTime | R Documentation |
Compute the following metrics:
MeanGermTime
Mean germination time (\mjseqn\overlineT) or Mean length of incubation time \insertCiteedmond_effects_1958,czabator_germination_1962,mock_cold_1972,ellis_improved_1980,labouriau_germinacao_1983,ranal_how_2006germinationmetrics.
VarGermTime
Variance of germination time (\mjseqns_T^2) \insertCitelabouriau_germinacao_1983,ranal_how_2006germinationmetrics.
SEGermTime
Standard error of germination time (\mjseqns_\overlineT) \insertCitelabouriau_germinacao_1983,ranal_how_2006germinationmetrics.
CVGermTime
Coefficient of variation of the germination time (\mjseqnCV_T) \insertCitegomes_curso_1960,ranal_how_2006germinationmetrics.
MeanGermTime(germ.counts, intervals, partial = TRUE)
VarGermTime(germ.counts, intervals, partial = TRUE)
SEGermTime(germ.counts, intervals, partial = TRUE)
CVGermTime(germ.counts, intervals, partial = TRUE)
germ.counts |
Germination counts at each time interval. Can be partial
or cumulative as specified in the argument |
intervals |
The time intervals. |
partial |
logical. If |
MeanGermTime
computes the mean germination time according to the
following formula
\insertCiteedmond_effects_1958,czabator_germination_1962,smith_germinating_1964,ellis_improved_1980,labouriau_germinacao_1983,ranal_how_2006germinationmetrics.
T = \frac\sum_i=1^kN_iT_i\sum_i=1^kN_i
Where, \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.
It is the same as Sprouting Index (\mjseqnSI) or Emergence Index (\mjseqnEI) described by \insertCitesmith_germinating_1964;textualgerminationmetrics and \insertCitemock_cold_1972;textualgerminationmetrics as well as Germination Resistance (\mjseqnGR) described by \insertCitegordon_observations_1969,gordon_germination_1971;textualgerminationmetrics.
It is the inverse of mean germination rate (\mjseqn\overlineV).
\mjsdeqn\overlineT = \frac1\overlineV
It indicates the average length of time required for maximum germination of a seed lot. Lower the \mjseqn\overlineT, faster the sample has germinated and reflects seed vigor.
VarGermTime
computes the variance of germination time according to the
following formula
\insertCitelabouriau_germinacao_1983,ranal_how_2006germinationmetrics.
s_T^2 = \frac\sum_i=1^kN_i(T_i-\overlineT)^2\sum_i=1^kN_i-1
Where, \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.
SEGermTime
computes the standard error of germination time
(\mjseqns_\overlineT) according to the following formula
\insertCitelabouriau_germinacao_1983,ranal_how_2006germinationmetrics.
s_\overlineT = \sqrt\fracs_T^2\sum_i=1^kN_i
Where, \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.
It signifies the accuracy of the calculation of the mean germination time.
CVGermTime
computes the coefficient of variation of germination time
(\mjseqnCV_T) according to the following formula
\insertCitegomes_curso_1960,ranal_how_2006germinationmetrics.
CV_T = \frac\sqrts_T^2\overlineT
This indicates the uniformity of germination and permits comparisons irrespective of the magnitude of mean germination time (\mjseqn\overlineT).
For MeanGermTime
, the mean germination time value in the same
unit of time as specified in the argument intervals
.
For VarGermTime
, the variance of germination time value as
\mjseqn\mathrmtime^2.
For SEGermTime
, the standard error of germination time in the same
unit of time specified in the argument intervals
.
For CVGermTime
, the value of coefficient of variation of the
germination time.
MeanGermRate
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
#----------------------------------------------------------------------------
MeanGermTime(germ.counts = x, intervals = int)
VarGermTime(germ.counts = x, intervals = int)
SEGermTime(germ.counts = x, intervals = int)
CVGermTime(germ.counts = x, intervals = int)
# From cumulative germination counts
#----------------------------------------------------------------------------
MeanGermTime(germ.counts = y, intervals = int, partial = FALSE)
VarGermTime(germ.counts = y, intervals = int, partial = FALSE)
SEGermTime(germ.counts = y, intervals = int, partial = FALSE)
CVGermTime(germ.counts = y, intervals = int, partial = FALSE)
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