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hddplot
View on CRAN: Click
here
Download and install hddplot package within the R console
Install from CRAN:
install.packages("hddplot")
Install from Github:
library("remotes")
install_github("cran/hddplot")
Install by package version:
library("remotes")
install_version("hddplot", "0.59-2")
Attach the package and use:
library("hddplot")
Maintained by
John Maindonald
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2006-02-08
Latest Update: 2023-09-14
Description:
Cross-validated linear discriminant calculations determine
the optimum number of features. Test and training scores from
successive cross-validation steps determine, via a principal
components calculation, a low-dimensional global space onto which test
scores are projected, in order to plot them. Further functions are
included that are intended for didactic use. The package implements,
and extends, methods described in J.H. Maindonald and C.J. Burden (2005)
.
How to cite:
John Maindonald (2006). hddplot: Use Known Groups in High-Dimensional Data to Derive Scores for Plots. R package version 0.59-2, https://cran.r-project.org/web/packages/hddplot. Accessed 21 Nov. 2024.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for hddplot
Functions, R codes and Examples using
the hddplot R package
Some associated functions: Golub . accTrainTest . aovFbyrow . cvdisc . cvscores . defectiveCVdisc . divideUp . golubInfo . orderFeatures . pcp . plotTrainTest . qqthin . scoreplot . simulateScores .
Some associated R codes: accTrainTest.R . aovFbyrow.R . cvdisc.R . cvscores.R . defectiveCVdisc.R . divideUp.R . orderFeatures.R . pcp.R . plotTrainTest.R . qqthin.R . scoreplot.R . simulateScores.R . Full hddplot package functions and examples
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