View source: R/count_precision.R
Precision analysis by Monte Carlo simulation and examination of distribution of mean
1 2 3 4 5 6 7 8 | count_precision(meanepg = 200, g.faeces = 3, sensitivity = 1/25,
replicates = 1, animals = 10, coeffvarmcm = 0.1, coeffvarrep = 0.4,
coeffvarind = 0.3, coeffvargroup = 0.7, true.sample = FALSE,
type = "confidence", precision = if (type == "confidence") 0.1 else NA,
lower.interval = meanepg * (1 - precision), upper.interval = meanepg * (1
+ precision), confidence = 0.95, iterations = if (type == "confidence")
10^6 else 10^5, mc.decimals = 2, mc.conf = 0.99, feedback = FALSE,
forcesim = FALSE)
|
count_analysis
, count_power
, bayescount
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.