I am comparing the number flowering in normal plants and 3 mutants. I have 60 normal plants and 60 of each mutant plants. The flowering were measured at 6 consecutive weeks and the data is like the following:
normal <- c(0, 5, 30, 55, 58, 60)
mutant_A <- c(0, 0, 10, 25, 45, 50)
mutant_B <- c(2, 10, 50, 59, 60, 60)
mutant_C <- c(0, 4, 28, 56, 59, 59)
I was wondering what the best way to analyze the data is. If I do a repeated measure ANOVA, it seems not considering the accumulative nature of the data (i.e., once a plant is flowering, it will never be counted as non-flowering. Hence the data for each type of plants only go up or keep the same.).
One possibility I am thinking is use the number of "not flowering" and do a survival analysis? Is that a reasonable idea?