brMask {blindreview}

Enables Blind Review of Database

Description

Assigns identification randomly to one of the variables of the dataset as chosen by the user, say Treatment, and assigns random number to the observations of the dataset. Reorders the observations. A file is created so that the user can identify any outliers identified by the review in terms of their original, unchanged values.

Usage

brMask(data, blinded, verbose=TRUE) 

Arguments

data

Database to be evaluated

blinded

Character, name of variable to be blinded

verbose

TRUE causes function identifier to display before and after run

Details

The first variable of the database must be Observation. The first element of the brMask object is the database to be reviewed blindly.

Value

LIST

Masked Dataframe

Database with substitute variable and substitute observation numbers

Randomization Date

Date of randomization of blinded items

Variable

Codes for unblinding variable that was blinded

Observations

Codes for unblinding observation numbers

Call

Call to this function

Author(s)

William R. Fairweather

References

Atkinson, A and M Riani. Robust Diagnostic Regression Analysis, Springer, New York, 2000. Pinheiro, JC and DM Bates. Mixed-Effects Models in S and S-Plus, Springer, New York, 2000. https://CRAN.R-project.org/package=forsearch E9 Statistical Principles for clinical Trials, US Food & Drug Administration and International Conference on Harmonization, 1998

Examples

Observation <- 1:14
Dose <- c(3.4,5.2,7,8.5,10.5,13,18,21,28,6.5,10,14,21.5,29)
Prep <- factor(c(rep(0,9),rep(1,5)))
Convulse <- c(0,5,11,14,18,21,23,30,27,2,10,18,21,27)
Total <- c(33,32,38,37,40,37,31,37,30,40,30,40,35,37)
NoConvulse <- Total-Convulse
mice <- data.frame(Observation,Dose,Prep,Convulse,Total,NoConvulse)
brMask(data=mice,blinded="Prep")