We conducted an experiment to test single and mixed effects of heat & drought stress on Canola.
Here is an overview:
We had 16 treatments (4temperature, 2drought, 2* stress timing) --> 16 tt
We had eight plants per treatment, which we assessed on the level of four branches (1, 2, 3, and rest) --> 16 tt * 4 branches.
We planted seeds in Petry dishes every dish had 1 g of seeds. We started to account for germinated seeds after 12 hours of planting and removing germinated seeds; we accounted for seeds after 12h, 14h,16h, 18h, 20h, 24h, 36 h,38h, and 40h. so we have a gap in data during the night
Unfortunately, we did not use the same total seeds number.
when we tried to apply the four-parameter hill function
FourPHFfit(germ.counts = y, intervals = int, total.seeds = 50, tmax = 20, partial = FALSE)
we faced some problems
- How can we add our data to this function and fit it to our four factors? In the R script, I just added x and y as:
x <- data_frame1$Hour
y <- data_frame1$AGP
-
How can we insert time replication?
-
And how can we insert total seeds as a column, not as an individual value?
Thank you in advance
Regards
Dima