Nothing

```
## Daniel Gerlanc and Kris Kirby (2010-2012)
## Helper functions for bootstrap analyses using the 'boot' package
## ######
## Univariate bootstrap statistics for means
## ######
## Compute the mean of elements 'i' in vector 'v'
meanBoot <- function(v, i)
mean(v[i])
## Compute the effect size r for a mean effect.
rMean <- function(x)
mean(x) / sqrt(mean(x)^2 + sum((x-mean(x))^2) / length(x))
## Compute Cohen's d for a mean effect.
dMean <- function(x)
mean(x) / sd(x)
## Compute the effect size d for a mean effect for resamples in the boot()
## command.
dMeanBoot <- function(x, i)
mean(x[i]) / sd(x[i])
## Compute Hedge's g for a mean effect
hMean <- function(x) {
df = length(x) - 1
hadj = gamma(df/2) / ( sqrt(df/2)*gamma((df-1)/2) )
hadj * mean(x) / sd(x)
}
## Compute the effect size g for a mean effect for resamples in the boot()
## command.
hMeanBoot <- function(x, i) {
vals = x[i]
df = length(vals) - 1
hadj = gamma(df/2) / ( sqrt(df/2) * gamma((df-1)/2))
hadj * mean(vals) / sd(vals)
}
## Compute the effect size 'Cohen's sigma d' for a mean effect for
## resamples in the boot() command.
dSigmaMeanBoot <- function(x, i)
mean(x[i]) / sqrt(sum((x[i] - mean(x[i]))^2) / length(x[i]))
## Compute the effect size r for a mean effect for resamples in the boot()
## command.
rMeanBoot <- function(x, i)
mean(x[i]) / sqrt(mean(x[i])^2 + sum((x[i] - mean(x[i]))^2) / length(x[i]))
akpRobustD <- function(x, i) {
## Compute AKP Robust D using indexed values within a vector
##
## Args:
## @param x a numeric vector of values
## @param i an integer vector indexing _x_
sample.vals = x[i]
means = mean(sample.vals, trim=0.2)
n = length(sample.vals)
g = floor(0.2*n) # Trim from bottom and top
tdat = sort(sample.vals)[(g+1):(n-g)] # the trimmed data
wdat = c(rep(min(tdat), g), tdat, rep(max(tdat), g))
ss = sum((wdat - mean(wdat))^2)/0.642^2
dof = n - 1
sd.hat = sqrt(sum(ss) / dof)
res = sum(means / sd.hat)
res
}
```

**Any scripts or data that you put into this service are public.**

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.