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| Package: GPCSIV | ||
| Type: Package | ||
| Title: GPCSIV, Generalized Principal Component of Symbolic Interval | ||
| variables | ||
| Version: 0.1.0 | ||
| Date: 2013-06-06 | ||
| Author: Brahim Brahim and Sun Makosso-Kallyth <sun.makosso-kallyth@crchuq.ulaval.ca> | ||
| Maintainer: Brahim Brahim <brahim.brahim@bigdatavisualizations.com> | ||
| Description: This package implements an extension of principal component analysis (PCA) tailored to handle multiple data tables. It can handle Big Data in the sense that the variation in massive data can be described by intervals [a, b] and multiple tables. | ||
| License: GPL (>= 2) | ||
| Depends: scatterplot3d, sqldf | ||
| Packaged: 2013-09-14 19:01:48 UTC; PSA | ||
| NeedsCompilation: no | ||
| Repository: CRAN | ||
| Date/Publication: 2013-09-15 09:53:08 |
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| 9e45fc6a619cce31984e57ea1eed13d7 *DESCRIPTION | ||
| 840bc36e1e6bd9c854f1e67e3dd225b8 *NAMESPACE | ||
| 3060c990074e604ec6cd524e8ab73570 *R/GPCSIV-internal.R | ||
| f0ee2cd2e4d2cc1106c490ca8455e8f3 *R/Resdata.R | ||
| 1a7ae12de1841bb4429ac666489bf024 *R/gpca.R | ||
| 81df9d03b411be777854ac7f55d3478e *data/Judge1.rda | ||
| 19165a5dd91b38a7a27fab1141697b46 *data/Judge2.rda | ||
| 01ac8c921e2b1af8f0f6bf3f0bb7001e *data/Judge3.rda | ||
| 1311d3a34e752688829952336c42bc9b *data/oils.rda | ||
| c8a0a6530a4caaf68192898cd0eef961 *data/video1.rda | ||
| abdc325778a64e98151d00e714c7d37e *data/video2.rda | ||
| 60317f08b95d1e2d4b82624c11c4db7f *data/video3.rda | ||
| caf44f0ad18faa23ed6300149604d108 *man/GPCSIV.Rd | ||
| 64895d936d5662971272d4443acba865 *man/Judge1.Rd | ||
| 7e84b10a04aa0495e45594b9ad1aef05 *man/Judge2.Rd | ||
| a0170a8ea10a3eccccbfbde294966bfc *man/Judge3.Rd | ||
| d6442c6d48d0f1713205ad8f028f3cff *man/Resdata.Rd | ||
| 50d8934f727d47efaf5f14c2e7abd011 *man/gpca.Rd | ||
| fd2f7082d9693cc51df887c0d3598d9a *man/oils.Rd | ||
| dd477c46676024a342a762e72bf6711b *man/video1.Rd | ||
| c13c37d98fb7e107367a0920400a0f73 *man/video2.Rd | ||
| 03775849b794ef5750122282f8f22123 *man/video3.Rd |
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| exportPattern("^[[:alpha:]]+") | ||
| importFrom(scatterplot3d) | ||
| importFrom(sqldf) |
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| .Random.seed <- | ||
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| ) |
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| Resdata <- | ||
| function(enter=list) | ||
| { | ||
| prepdata = function(g,nomVar=NULL, nomInd=NULL){ | ||
| nligne<-nrow(g) | ||
| ncolon<-( ncol(g) )/2 | ||
| if( is.null(nomInd) ) | ||
| { | ||
| nomInd<- paste("Row", 1:nligne, sep = "") | ||
| } | ||
| g = t(g) | ||
| g=data.frame(g) | ||
| x <- matrix(2:(nrow(g)+1), nrow = nrow(g), ncol = 1 ) | ||
| colnames(x) <- paste("obs") | ||
| x=data.frame(x) | ||
| g <- cbind(x , g) | ||
| v=x%%2 | ||
| colnames(v) <- paste("obs1") | ||
| v=data.frame(v) | ||
| g <- cbind(v, g) | ||
| tmin <- sqldf("select * from g where obs1 = 0") | ||
| tmax <- sqldf("select * from g where obs1 = 1") | ||
| tmin = t(tmin) | ||
| tmax = t(tmax) | ||
| tmin=tmin[-c(1:2),] | ||
| tmax=tmax[-c(1:2),] | ||
| rownames(tmin)<-nomInd | ||
| rownames(tmax)<-nomInd | ||
| colnames(tmin)<-paste("Var", 1:ncolon, sep = 'Min') | ||
| colnames(tmax)<-paste("Var", 1:ncolon, sep = 'Max') | ||
|
|
||
| return(list(tmin=tmin,tmax=tmax)) | ||
| } | ||
| enter<-as.list(enter) | ||
| long<-length(enter) | ||
| resmin<-vector('list',long) | ||
| for(i in 1:long) | ||
| resmin[[i]]<-prepdata(enter[[i]])$tmin | ||
|
|
||
| resmax<-vector('list',long) | ||
| for(i in 1:long) | ||
| resmax[[i]]<-prepdata(enter[[i]])$tmax | ||
| return(list(tablemin=resmin,tablemax=resmax)) | ||
| } |
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