MFnestBoot | R Documentation |
MFnest using bootstrapping
MFnestBoot(x, which.factor = "All", alpha = 0.05)
x |
output from MFhBoot |
which.factor |
one or more grouping variable(s) of interest. This can be any of the core or nest variables from the data set. A MF value will be calculated for each level of the variable(s) specified. Default is "All", to sum over entire tree. |
alpha |
Passed to |
A list with the following elements:
mfnest_details
: The MF and summary statistics as calculated for each
bootstrap event. Variables as in MFnest output.
mfnest_summary
: Statistical summary of bootstrapped MF with each
unique level of a core or nest variable passed to which.factor
as a
row. Other variables include:
median
: Median of MFs from all of the bootstrap events.
etlower
: Lower value of equal tailed range.
etupper
: Upper value of equal tailed range.
hdlower
: Lower value of the highest posterior density range.
hdupper
: Upper value of the highest posterior density range.
mf.obs
: MF calculated from data using MFh.
MF-package
MFClusBootHier, MFhBoot
set.seed(76153)
a <- data.frame(room = paste("Room", rep(c("W", "Z"), each = 24)),
pen = paste("Pen", rep(LETTERS[1:6], each = 8)),
litter = paste("Litter", rep(11:22, each = 4)),
tx = rep(rep(c("vac", "con"), each = 2), 12))
a[a$tx == "vac", "lung"] <- rnorm(24, 5, 1.3)
a[a$tx == "con", "lung"] <- rnorm(24, 7, 1.3)
a
formula <- lung ~ tx + room / pen / litter
nboot <- 10000
boot.cluster <- TRUE
boot.unit <- TRUE
which.factors <- c("All", "room", "pen", "litter")
#################
test1 <- MFhBoot(formula, a,
nboot = 10000,
boot.cluster = TRUE, boot.unit = TRUE, seed = 12345)
MFnestBoot(test1, c("All", "litter"))
## Not run:
system.time(test2 <- MFnestBoot(test1, which.factors))
test2
system.time(test3 <- MFnestBoot(test1, which.factors[1]))
test3
system.time(test4 <- MFnestBoot(test1, which.factors[2]))
test4
system.time(test5 <- MFnestBoot(test1, which.factors[2:3]))
test5
system.time(test6 <- MFnestBoot(test1, which.factors[2:4]))
test6
## End(Not run)
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