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hddplot  

Use Known Groups in High-Dimensional Data to Derive Scores for Plots
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]
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
Previous versions and publish date:
0.5 (2006-02-08 13:07), 0.51 (2006-04-27 13:04), 0.52 (2009-01-13 09:15), 0.54 (2011-03-31 17:18), 0.55 (2012-03-25 11:19), 0.56 (2013-12-05 23:42), 0.57-2 (2016-11-03 23:09), 0.57-5 (2017-09-03 13:31), 0.59 (2018-06-15 21:55)
Other packages that cited hddplot R package
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Other R packages that hddplot depends, imports, suggests or enhances
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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