Description Usage Arguments Value References See Also Examples
View source: R/FourPHFfit.bulk.R
Fit fourparameter hill function from a data frame of germination counts recorded at specific time intervals for multiple samples in batch.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 
data 
A data frame with the germination count data. It should possess columns with

total.seeds.col 
The name of the column in 
counts.intervals.cols 
The names of columns in 
intervals 
The time intervals. 
partial 
logical. If 
fix.y0 
Force the intercept of the y axis through 0. 
fix.a 
Fix a as the actual maximum germination percentage at the end of the experiment. 
tmax 
The time up to which AUC is to be computed. 
xp 
Germination percentage value(s) for which the corresponding time is
to be computed as a numeric vector. Default is 
umin 
The minimum germination percentage value for computing
uniformity. Default is 
umax 
The maximum germination percentage value for computing
uniformity. Default is 
tries 
The number of tries to be attempted to fit the curve. Default is 3. 
A data frame with the original data along with the various parameters of the respective fitted fourparameter hill function.
elkassaby_seed_2008germinationmetrics
This function is a wrapper around the
FourPHFfit
function for fitting
fourparameter hill curve.
1 2 3 4 5 6 7 8 9 10 11  data(gcdata)
counts.per.intervals < c("Day01", "Day02", "Day03", "Day04", "Day05",
"Day06", "Day07", "Day08", "Day09", "Day10",
"Day11", "Day12", "Day13", "Day14")
FourPHFfit.bulk(gcdata, total.seeds.col = "Total Seeds",
counts.intervals.cols = counts.per.intervals,
intervals = 1:14, partial = TRUE,
fix.y0 = TRUE, fix.a = TRUE, xp = c(10, 60),
tmax = 20, tries = 3, umax = 90, umin = 10)

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