boot {CarletonStats}  R Documentation 
Bootstrap a single variable or a grouped variable
boot(x, ...) ## Default S3 method: boot(x, group = NULL, statistic = mean, conf.level = 0.95, B = 10000, plot.hist = TRUE, legend.loc = "topright", plot.qq = FALSE, x.name = deparse(substitute(x)), ...) ## S3 method for class 'formula' boot(formula, data, subset, ...)
x 
a numeric vector 
... 
further arguments to be passed to or from methods. 
group 
an optional grouping variable (vector), usually a factor variable. If it is a binary numeric variable, it will be coerced to a factor. 
statistic 
function that computes the statistic of interest. Default is the

conf.level 
confidence level for the bootstrap percentile interval. Default is 95%. 
B 
number of times to resample (positive integer greater than 2). 
plot.hist 
logical value. If 
legend.loc 
where to place the legend on the histogram. Default is

plot.qq 
Logical value. If 
x.name 
Label for variable name 
formula 
a formula 
data 
a data frame that contains the variables given in the formula. 
subset 
an optional expression indicating what observations to use. 
Perform a bootstrap of a statistic applied to a single variable, or to the
difference of the statistic computed on two samples (using the grouping
variable). If x
is a binary vector of 0's and 1's and the function is
the mean, then the statistic of interest is the proportion.
Observations with missing values are removed.
A vector with the resampled statistics is returned invisibly.
default
: Bootstrap a single variable or a grouped variable
formula
: Bootstrap a single variable or a grouped variable
Laura Chihara
Tim Hesterberg's website http://www.timhesterberg.net/bootstrap
#ToothGrowth data (supplied by R) #bootstrap mean of a single numeric variable boot(ToothGrowth$len) #bootstrap difference in mean of tooth length for two groups. boot(ToothGrowth$len, ToothGrowth$supp) #same as above using formula syntax boot(len ~ supp, data = ToothGrowth)