find_cutoff | R Documentation |
Assuming a normal distribution for a trait and a cutoff value. Estimate what this cutoff value is to obtain a population above the cutoff with a known mean trait value.
find_cutoff(
mean_above,
mean_pop = 100,
sd_pop = 15,
n = 10000,
precision = 0.1,
below = F
)
mean_above |
(num scalar) Mean trait level of population above the cutoff. |
mean_pop |
(num scalar) Mean trait level of population. Default = 100 (IQ scale). |
sd_pop |
(num scalar) Standard deviation of the trait in the population. Default = 15 (IQ scale). |
n |
(num scalar) Sample size to generate in the process. More results in higher precision and memory use. Default = 1e4. |
precision |
(num scalar) The precision to use. Default = .1. |
below |
(log scalar) Reverse the model to find cutoffs for |
#what cutoff is needed to get a population above the cutoff with a mean of 115 when the population mean is 100?
find_cutoff(115)
#try impossible
find_cutoff(95)
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