| Nest | R Documentation | 
Given a predicted ICC and k measures per individual/group, this
function will calculate the N individuals/groups required to obtain a
desired confidence interval w(Bonett 2002).
Nest(
  est.type = c("hypothetical", "pilot"),
  w,
  ICC = NULL,
  k = NULL,
  x = NULL,
  y = NULL,
  data = NULL,
  alpha = 0.05
)
est.type | 
 A character string of either   | 
w | 
 A   | 
ICC | 
 The expected intraclass correlation coefficient.  | 
k | 
 The number of measurements per individual or group.  | 
x | 
 A column name of   | 
y | 
 A column name of   | 
data | 
 A   | 
alpha | 
 The alpha level to use when estimating the confidence interval.  | 
More than one ICC or k may be given. In this case, the return
value is a dataframe with rows representing the values of the specified ICCs
and the columns yield the different k values.
data.frame indicating the N number of individuals or groups to
use to estimate the given ICC with a desired confidence interval width.
Rows represent different levels of ICC while columns indicate different
levels of k measurements per individual/group.
D.G. Bonett. 2002. Statistics in Medicine, 21(9): 1331-1335.
M.E. Wolak, D.J. Fairbairn, Y.R. Paulsen. 2011. Methods in Ecology and Evolution, 3(1):129-137.
effort
# Example 1
  n1<-Nest("h", w = 0.14, ICC = 0.1, k = 10)
  n1
# Example 2
  data(ChickWeight)
  Nest("p", w = 0.14, x = Chick, y = weight, data = ChickWeight)
  ex2 <- ICCest(Chick, weight, ChickWeight)
  ex2$UpperCI - ex2$LowerCI #confidence interval width of pilot study
  ex2
# Example 3
  Nest("h", w = 0.14, ICC = seq(0.05, 0.15, 0.05), k = seq(10, 12, 1))
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