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| Package: NormPsy | ||
| Type: Package | ||
| Title: Normalisation of psychometric tests | ||
| Version: 1.0.1 | ||
| Version: 1.0.2 | ||
| Date: 2014-05-28 | ||
| Author: Cecile Proust-Lima, Viviane Philipps | ||
| Maintainer: Cecile Proust-Lima <cecile.proust-lima@inserm.fr> | ||
| Description: This package provides functions for normalizing psychometric test scores. The normalization aims at correcting the metrological properties of the psychometric tests such as the ceiling and floor effects and the curvilinearity (unequal interval scaling). The package also provides functions to compute and plot predictions in the natural scale of the psychometric test from the estimates of a linear mixed model estimated on the normalized scores. | ||
| License: GPL | ||
| Depends: R (>= 2.9.0) | ||
| Imports: lcmm (>= 1.6.4) | ||
| Packaged: 2014-05-30 08:49:11 UTC; vp3 | ||
| Packaged: 2014-11-27 20:56:50 UTC; cecile | ||
| NeedsCompilation: yes | ||
| Repository: CRAN | ||
| Date/Publication: 2014-05-30 16:22:15 | ||
| Date/Publication: 2014-11-27 23:19:56 |
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| \name{NormPsy-package} | ||
| \alias{NormPsy-package} | ||
| \alias{NormPsy} | ||
| \docType{package} | ||
| \title{ | ||
| Normalization of psychometric test scores | ||
| } | ||
| \description{ | ||
| This package provides functions for normalizing psychometric test scores. The normalization aims at correcting the metrological properties of the psychometric tests such as the ceiling and floor effects and the curvilinearity (unequal interval scaling). The package also provides functions to compute and plot predictions in the natural scale of the psychometric test from the estimates of a linear mixed model estimated on the normalized scores. | ||
| } | ||
| \details{ | ||
| \tabular{ll}{ | ||
| Package: \tab NormPsy\cr | ||
| Type: \tab Package\cr | ||
| Version: \tab 1.0\cr | ||
| Date: \tab 2014-05-07\cr | ||
| License: \tab GPL\cr | ||
| } | ||
| } | ||
| \author{ | ||
| Cecile Proust-Lima, Viviane Philipps | ||
| } | ||
| %\references{ | ||
| %} | ||
| \name{NormPsy-package} | ||
| \alias{NormPsy-package} | ||
| \alias{NormPsy} | ||
| \docType{package} | ||
| \title{ | ||
| Normalization of psychometric test scores | ||
| } | ||
| \description{ | ||
| This package provides functions for normalizing psychometric test scores. The normalization aims at correcting the metrological properties of the psychometric tests such as the ceiling and floor effects and the curvilinearity (unequal interval scaling). The package also provides functions to compute and plot predictions in the natural scale of the psychometric test from the estimates of a linear mixed model estimated on the normalized scores. | ||
| } | ||
| \details{ | ||
| \tabular{ll}{ | ||
| Package: \tab NormPsy\cr | ||
| Type: \tab Package\cr | ||
| Version: \tab 1.0.2\cr | ||
| Date: \tab 2014-05-07\cr | ||
| License: \tab GPL\cr | ||
| } | ||
| } | ||
| \author{ | ||
| Cecile Proust-Lima, Viviane Philipps | ||
|
|
||
| Maintainer: Cecile Proust-Lima <cecile.proust-lima@inserm.fr> | ||
| } | ||
| \references{ | ||
| Philipps V, Amieva H, Andrieu S, Dufouil C, Berr C, Dartigues J-F, et al. Normalized mini-mental state examination for assessing cognitive change in population-based brain aging studies. Neuroepidemiology. 2014; 43(1) 15-25. | ||
| } |
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| \name{normMMSE} | ||
| \alias{normMMSE} | ||
| \title{ | ||
| Normalized scores for the Mini Mental State Examination (MMSE) | ||
| } | ||
| \description{ | ||
| This function transforms crude MMSE scores (range 0 - 30) into normalized scores. The normalized scale ranges from 0 to 100, with MMSE minimum score 0 being transformed into 0 and MMSE maximum score 30 into 100. The normalization preserves the ranking of the test but transforms the gaps between two consecutive values in order to correct the curvilinearity of MMSE. The normalization is specifically adapted for heterogeneous elderly propulations mixing normal and pathological aging. | ||
| } | ||
| \usage{ | ||
| normMMSE(x) | ||
| } | ||
| \arguments{ | ||
| \item{x}{ | ||
| a numeric vector containing MMSE scores (integer between 0 and 30) | ||
| } | ||
| } | ||
|
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| \value{ | ||
| a vector containing the transformed MMSE scores | ||
| } | ||
|
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| \author{ | ||
| Cecile Proust-Lima, Viviane Philipps | ||
| } | ||
|
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|
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| \examples{ | ||
|
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| #import data paquid from lcmm package | ||
| library(lcmm) | ||
| data(paquid) | ||
|
|
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| # computation of the normalized MMSE | ||
| paquid$MMSEnorm <- normMMSE(paquid$MMSE) | ||
|
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| # histogram of these data | ||
| par(mfrow=c(1,2)) | ||
| hist(paquid$MMSE,breaks=seq(-0.5,30.5,1),col=2,main="crude MMSE") | ||
| hist(paquid$MMSEnorm,breaks=seq(0,100,10),col=3,main="normalized MMSE") | ||
| } | ||
|
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| %\seealso{ | ||
| % | ||
| %} | ||
| \name{normMMSE} | ||
| \alias{normMMSE} | ||
| \title{ | ||
| Normalized scores for the Mini Mental State Examination (MMSE) | ||
| } | ||
| \description{ | ||
| This function transforms crude MMSE scores (range 0 - 30) into normalized scores. The normalized scale ranges from 0 to 100, with MMSE minimum score 0 being transformed into 0 and MMSE maximum score 30 into 100. The normalization preserves the ranking of the test but transforms the gaps between two consecutive values in order to correct the curvilinearity of MMSE. The normalization is specifically adapted for heterogeneous elderly propulations mixing normal and pathological aging. | ||
| } | ||
| \usage{ | ||
| normMMSE(x) | ||
| } | ||
| \arguments{ | ||
| \item{x}{ | ||
| a numeric vector containing MMSE scores (integer between 0 and 30) | ||
| } | ||
| } | ||
|
|
||
| \value{ | ||
| a vector containing the transformed MMSE scores | ||
| } | ||
|
|
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| \references{ | ||
| Philipps V, Amieva H, Andrieu S, Dufouil C, Berr C, Dartigues J-F, et al. Normalized mini-mental state examination for assessing cognitive change in population-based brain aging studies. Neuroepidemiology. 2014; 43(1) 15-25. | ||
| } | ||
|
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| \author{ | ||
| Cecile Proust-Lima, Viviane Philipps | ||
| } | ||
|
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|
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| \examples{ | ||
|
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| #import data paquid from lcmm package | ||
| library(lcmm) | ||
| data(paquid) | ||
|
|
||
| # computation of the normalized MMSE | ||
| paquid$MMSEnorm <- normMMSE(paquid$MMSE) | ||
|
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| # histogram of these data | ||
| par(mfrow=c(1,2)) | ||
| hist(paquid$MMSE,breaks=seq(-0.5,30.5,1),col=2,main="crude MMSE") | ||
| hist(paquid$MMSEnorm,breaks=seq(0,100,10),col=3,main="normalized MMSE") | ||
| } | ||
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| %\seealso{ | ||
| % | ||
| %} |
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