Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
1 parent
25d3752
commit 8185a6a
Showing
20 changed files
with
788 additions
and
515 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,15 +1,15 @@ | ||
| Package: StatMatch | ||
| Type: Package | ||
| Title: Statistical Matching | ||
| Version: 1.2.3 | ||
| Date: 2015-01-28 | ||
| Version: 1.2.4 | ||
| Date: 2016-01-13 | ||
| Author: Marcello D'Orazio | ||
| Maintainer: Marcello D'Orazio <madorazi@istat.it> | ||
| Depends: R (>= 2.7.0), proxy, clue, survey, RANN, lpSolve | ||
| Suggests: MASS, Hmisc | ||
| Description: Integration of two data sources referred to the same target population which share a number of common variables (aka data fusion). Some functions can also be used to impute missing values in data sets through hot deck imputation methods. Methods to perform statistical matching when dealing with data from complex sample surveys are available too. | ||
| License: GPL (>= 2) | ||
| Packaged: 2015-01-29 16:23:10 UTC; UTENTE | ||
| NeedsCompilation: no | ||
| Packaged: 2016-01-13 09:03:21 UTC; UTENTE | ||
| Repository: CRAN | ||
| Date/Publication: 2015-01-29 18:07:42 | ||
| Date/Publication: 2016-01-13 13:54:07 |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,75 +1,114 @@ | ||
| 'Fbwidths.by.x' <- | ||
| function(tab.x, tab.xy, tab.xz) | ||
| Fbwidths.by.x <- | ||
| function (tab.x, tab.xy, tab.xz, compress.sum=FALSE) | ||
| { | ||
| N <- sum(tab.xy) + sum(tab.xz) | ||
| prop.x <- prop.table(tab.x) | ||
| prop.xy <- prop.table(tab.xy) | ||
| prop.xz <- prop.table(tab.xz) | ||
|
|
||
| lab.x <- names(dimnames(tab.x)) | ||
| if(all(nchar(lab.x)==0)) lab.x <- paste("x",1:length(lab.x), sep="") | ||
| if (all(nchar(lab.x) == 0)) | ||
| lab.x <- paste("x", 1:length(lab.x), sep = "") | ||
| names(attr(tab.x, "dimnames")) <- lab.x | ||
|
|
||
| lab.xy <- names(dimnames(tab.xy)) | ||
| if(all(nchar(lab.xy)==0)) lab.xy <- c(lab.x, "y") | ||
| if (all(nchar(lab.xy) == 0)) | ||
| lab.xy <- c(lab.x, "y") | ||
| names(attr(tab.xy, "dimnames")) <- lab.xy | ||
|
|
||
| lab.y <- setdiff(lab.xy, lab.x) | ||
| p.y <- match(lab.y, lab.xy) | ||
|
|
||
| lab.xz <- names(dimnames(tab.xz)) | ||
| if(all(nchar(lab.xz)==0)) lab.xz <- c(lab.x, "z") | ||
| if (all(nchar(lab.xz) == 0)) | ||
| lab.xz <- c(lab.x, "z") | ||
| names(attr(tab.xz, "dimnames")) <- lab.xz | ||
|
|
||
| lab.z <- setdiff(lab.xz, lab.x) | ||
| p.z <- match(lab.z, lab.xz) | ||
|
|
||
| ## | ||
| # | ||
| n.x <- length(lab.x) | ||
| appo.var <- as.list(lab.x) | ||
| for(k in 2:n.x){ | ||
| for (k in 2:n.x) { | ||
| b <- combn(lab.x, k) | ||
| b <- data.frame(b, stringsAsFactors=FALSE) | ||
| b <- data.frame(b, stringsAsFactors = FALSE) | ||
| appo.var <- c(appo.var, as.list(b)) | ||
| } | ||
|
|
||
| H <- length(appo.var) | ||
| out.rng <- as.list(as.numeric(H)) | ||
| # av.rng <- matrix(NA, H, 4) | ||
| av.rng <- matrix(NA, H, 3) | ||
|
|
||
| for(h in 1:H){ | ||
| av.rng <- matrix(NA, H, 8) | ||
| # av.rng <- matrix(NA, H, 9) | ||
| # all.H <- matrix(NA, H, 5) | ||
| # all.U <- matrix(NA, H, 2) | ||
|
|
||
| for (h in 1:H) { | ||
| lab <- appo.var[[h]] | ||
|
|
||
| p.x <- match(lab, lab.x) | ||
|
|
||
| xx <- margin.table(prop.x, p.x) | ||
| av.rng[h,1] <- length(xx) | ||
| av.rng[h,2] <- sum(xx==0) | ||
|
|
||
| p.xy <- match(c(lab,lab.y), lab.xy) | ||
| av.rng[h, 1] <- length(xx) | ||
| av.rng[h, 2] <- sum(xx == 0) | ||
| p.xy <- match(c(lab, lab.y), lab.xy) | ||
| xy <- margin.table(prop.xy, p.xy) | ||
|
|
||
| av.rng[h, 3] <- length(xy) | ||
| av.rng[h, 4] <- sum(xy == 0) | ||
| p.xz <- match(c(lab, lab.z), lab.xz) | ||
| xz <- margin.table(prop.xz, p.xz) | ||
| av.rng[h, 5] <- length(xz) | ||
| av.rng[h, 6] <- sum(xz == 0) | ||
|
|
||
| fb <- Frechet.bounds.cat(xx, xy, xz, print.f="tables") | ||
| fb <- Frechet.bounds.cat(xx, xy, xz, print.f = "tables") | ||
| appo <- data.frame(fb$low.cx) | ||
| out.rng[[h]] <- data.frame(appo[,1:2], lower=c(fb$low.cx), upper=c(fb$up.cx), width=c(fb$up.cx-fb$low.cx)) | ||
| av.rng[h,3] <- mean( c(fb$up.cx-fb$low.cx)) | ||
| # av.rng[h,4] <- fb$uncertainty["overall"] | ||
|
|
||
| out.rng[[h]] <- data.frame(appo[, 1:2], lower = c(fb$low.cx), | ||
| upper = c(fb$up.cx), width = c(fb$up.cx - fb$low.cx)) | ||
|
|
||
| av.rng[h, 7] <- fb$uncertainty[2] | ||
| av.rng[h, 8] <- fb$uncertainty[2] / fb$uncertainty[1] | ||
| # av.rng[h, 9] <- fb$uncertainty[3] | ||
| # all.H[h, ] <- fb$H | ||
| # all.U[h, ] <- fb$U | ||
| } | ||
| lab.list <- paste("|", lapply(appo.var, paste, collapse="+"), sep="") | ||
| lab.list <- paste("|", lapply(appo.var, paste, collapse = "+"), | ||
| sep = "") | ||
| n.vars <- lapply(appo.var, length) | ||
| # av.rng <- data.frame(x.vars=unlist(n.vars), x.cells=av.rng[,1], x.freq0=av.rng[,2], | ||
| # av.width=av.rng[,3], ov.unc=av.rng[,4]) | ||
| av.rng <- data.frame(x.vars=unlist(n.vars), x.cells=av.rng[,1], x.freq0=av.rng[,2], | ||
| av.width=av.rng[,3]) | ||
| row.names(av.rng) <- paste("|", lapply(appo.var, paste, collapse="+"), sep="") | ||
|
|
||
| av.rng <- data.frame(x.vars = unlist(n.vars), | ||
| x.cells = av.rng[, 1], x.freq0 = av.rng[, 2], | ||
| xy.cells = av.rng[, 3], xy.freq0 = av.rng[, 4], | ||
| xz.cells = av.rng[, 5], xz.freq0 = av.rng[, 6], | ||
| av.width = av.rng[, 7], rel.av.width = av.rng[, 8]) | ||
| # delta.CMS=av.rng[, 9]) | ||
| row.names(av.rng) <- paste("|", lapply(appo.var, paste, collapse = "*"), | ||
| sep = "") | ||
| av.rng.0 <- c(x.vars=0, x.cells=NA, x.freq0=NA, | ||
| xy.cells = NA, xy.freq0 = NA, | ||
| xz.cells = NA, xz.freq0 = NA, | ||
| av.width = fb$uncertainty[1], rel.av.width = 1) | ||
| av.rng <- rbind(unconditioned=av.rng.0, av.rng) | ||
| # colnames(all.H) <- names(fb$H) | ||
| # colnames(all.U) <- names(fb$U) | ||
| # row.names(all.H) <- rownames(all.U) <- paste("|", lapply(appo.var, paste, collapse = "+"), sep = "") | ||
| aa <- n.x - av.rng$x.vars | ||
| ord.lab <- order(aa, av.rng$av.width, decreasing=TRUE) | ||
| # ord.all <- order(aa, av.rng$ov.unc, decreasing=TRUE) | ||
|
|
||
| out.rng[[(H+1)]] <- av.rng[ord.lab,] | ||
| # out.rng[[(H+2)]] <- av.rng[ord.all,] | ||
|
|
||
| ord.lab <- order(aa, av.rng$av.width, decreasing = TRUE) | ||
| av.rng <- av.rng[ord.lab, ] | ||
| if(compress.sum){ | ||
| sp.av <- split(av.rng, av.rng$x.vars) | ||
| G <- length(sp.av) | ||
| sp.new <- as.list(G) | ||
| sp.new[[1]] <- sp.av[[1]] | ||
| sp.new[[2]] <- sp.av[[2]] | ||
| for(g in 3:G){ | ||
| min.p <- min(sp.av[[(g-1)]][,"av.width"]) | ||
| tst <- sp.av[[g]][,"av.width"] <= min.p | ||
| sp.new[[g]] <- sp.av[[g]][tst,] | ||
| } | ||
| av.rng <- do.call("rbind", sp.new) | ||
| } | ||
| out.rng[[(H + 1)]] <- av.rng | ||
| names(out.rng) <- c(lab.list, "sum.unc") | ||
| # out.rng$all.H <- all.H[ord.lab,] | ||
| # out.rng$all.U <- all.U[ord.lab,] | ||
|
|
||
| out.rng | ||
| } | ||
| } |
Oops, something went wrong.