Alzheimer's disease neuropsychometric marker dataset

Description

The dataset is a subset of the longitudinal cohort of Washington University (WU) Alzheimer's Disease Research Center (ADRC). In the AL dataset, measurements of 14 neuropsychological markers were collected on 118 independent individuals of age 75. The individuals were classified into 3 groups based on publsihed clinical demential rating (CDR).

Usage

data(AL)

Format

A data frame with 118 observations on the following 15 variables.

group

a factor with levels D^-, D^0 D^+, the D^- group has CDR (clinical demential rating)=0, i.e., no dementia group; the D^0 group has CDR=0.5, i.e., mild dementia and the D^+ group has CDR=1, Alzheimer's disease.

FACTOR1

a numeric vector, measurements on the neuropsychometric test for “global factor”.

ktemp

a numeric vector, measurements on the neuropsychometric test for “temporal factor”.

kpar

a numeric vector, measurements on the neuropsychometric test for “parietal factor”.

kfront

a numeric vector, measurements on the neuropsychometric test for “frontal factor”.

zpsy004

a numeric vector, measurements on the neuropsychometric test for “longical memory”.

zpsy005

a numeric vector, measurements on the neuropsychometric test for “digital span forward”.

zpsy006

a numeric vector, measurements on the neuropsychometric test for “digital span backward”.

zinfo

a numeric vector, measurements on the neuropsychometric test for “information”.

zbentc

a numeric vector, measurements on the neuropsychometric test for “visual retention (10s)”.

zbentd

a numeric vector, measurements on the neuropsychometric test for “visual retention (copy)”.

zboston

a numeric vector,a numeric vector, measurements on the neuropsychometric test for “boston naming”.

zmentcon

a numeric vector,measurements on the neuropsychometric test for “mental control”.

zworflu

a numeric vector,measurements on the neuropsychometric test for “word fluency”.

zassc

a numeric vector,measurements on the neuropsychometric test for “associate learning”.

Details

See references for more details on the explanation of the 14 markers and scoring details.

Source

Xiong, C. and van Belle, G. and Miller, J.P. and Morris, J.C. (2006) Measuring and Estimating Diagnostic Accuracy When There Are Three Ordinal Diagnostic Groups. Statistics In Medicine 25 7 1251–1273.

Sorandt M, Hill RD. (1989) Very mild snile dementia of the Alzheimer type. II Psychometric test performance. Archives of Neurology 46 383–386.

Examples

    data(AL)

    ## maybe str(AL) ; plot(AL);  ...

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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Type 'license()' or 'licence()' for distribution details.

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Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(DiagTest3Grp)
Loading required package: car
Loading required package: KernSmooth
KernSmooth 2.23 loaded
Copyright M. P. Wand 1997-2009
Loading required package: gplots

Attaching package: 'gplots'

The following object is masked from 'package:stats':

    lowess

> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/DiagTest3Grp/AL.Rd_%03d_medium.png", width=480, height=480)
> ### Name: AL
> ### Title: Alzheimer's disease neuropsychometric marker dataset
> ### Aliases: AL
> ### Keywords: datasets
> 
> ### ** Examples
> 
>     data(AL)
> 
>     ## maybe str(AL) ; plot(AL);  ...
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>