| empirical.distributions {TreeDimensionTest} | R Documentation |
Empirical Null Distribution of Tree Dimension Test
Description
Computes empirical null distribution of S statistic and parameters for lognormal approximation for input of size rows * columns using multivariate normal randomization
Usage
empirical.distributions(rows, cols, perm = 100, MST = c("boruvka", "exact"))
Arguments
rows |
number of rows for data representing null case. Rows represent sample size. |
cols |
number of columns for data representing null case. Columns represent variables. |
perm |
number of simulations to compute null distribution. Default is 100. |
MST |
name of MST to be used in computing distribution. There are two options; "exact" MST and "boruvka" which is faster for large samples |
Value
A list with the following components:
dist A vector with null distribution of s statistic
meanlog The meanlog parameter estimation for the lognormal distribution on empirical null distribution S.
sdlog The sdlog parameter estimation for lognormal distribution on empirical null distribution of S.