| disguise {uwedragon} | R Documentation |
Disguise the sample mean and sample deviation
Description
Disguises the sample mean and standard deviation via a choice of methods.
Usage
disguise(usersample, method = 2)
Arguments
usersample |
A vector of all individual sample values. |
method |
Approach for disguising mean and standard deviation. (default = 1) |
Details
*Method 1*
Randomly split the sample into two (approx. equal size) samples A, and B. For sample A calculate and report mean. For sample B calculate and standard deviation.
*Method 2* (default)
Take a sample of size N with replacement; calculate and report mean. Repeat to calculate and report standard deviation.
*Method 3*
Generate a random number (RN1) between N/2 and N. Sample with replacement a sample size of RN1; calculate and report mean. Generate a random number (RN2) between N/2 and N. Sample with replacement a sample size of RN2; calculate and report standard deviation.
*Method 4*
As Method 3, but sampling without replacement.
Value
Outputs disguised mean and disguised standard deviation.
References
Derrick, B., Green, L., Kember, K., Ritchie, F. & White P, 2022, Safety in numbers: Minimum thresholding, Maximum bounds, and Little White Lies. Scottish Economic Society Annual Conference, University of Glasgow, 25th-27th April 2022
Examples
usersample<-c(1,1,2,3,4,4,5)
disguise(usersample,method=1)
disguise(usersample,method=2)
disguise(usersample,method=3)
disguise(usersample,method=4)