boot_tidiers {broom} | R Documentation |
Tidying methods for "boot" objects from the "boot" package.
## S3 method for class 'boot' tidy(x, conf.int = FALSE, conf.level = 0.95, conf.method = "perc", ...)
x |
|
conf.int |
whether to include a confidence interval |
conf.level |
confidence level for CI |
conf.method |
method for computing confidence intervals (see |
... |
extra arguments (not used) |
The tidy
method returns a data frame with one row per
bootstrapped statistic that was calculated, and the
following columns:
term |
Name of the computed statistic, if present |
statistic |
The original values of the statistic |
bias |
The bias of the original statistic value |
std.error |
Standard error of the statistic |
If weights were provided to the boot
function, an estimate
column is included showing the weighted bootstrap estimate, and the
standard error is of that estimate.
If there are no original statistics in the "boot" object, such as with a
call to tsboot
with orig.t = FALSE
, the original
and statistic
columns are omitted, and only estimate
and
std.error
columns shown.
if (require("boot")) { clotting <- data.frame( u = c(5,10,15,20,30,40,60,80,100), lot1 = c(118,58,42,35,27,25,21,19,18), lot2 = c(69,35,26,21,18,16,13,12,12)) g1 <- glm(lot2 ~ log(u), data = clotting, family = Gamma) bootfun <- function(d, i) { coef(update(g1, data= d[i,])) } bootres <- boot(clotting, bootfun, R = 999) tidy(g1, conf.int=TRUE) tidy(bootres, conf.int=TRUE) }