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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,119 @@ | ||
| ## File Name: tam.cb.R | ||
| ## File Version: 0.16 | ||
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| tam.cb <- function( dat, wlescore=NULL, group=NULL, max_ncat=30, progress=TRUE, | ||
| pweights=NULL, digits_freq=5) | ||
| { | ||
| resp <- dat | ||
| wgt <- pweights | ||
| if (is.null(wgt)){ | ||
| wgt <- rep(1,nrow(resp)) | ||
| } | ||
| I <- ncol(resp) | ||
| if ( is.null(wlescore) ){ | ||
| est_wle <- 0 | ||
| wlescore <- rep(1, nrow(resp) ) | ||
| } else { | ||
| est_wle <- 1 | ||
| } | ||
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| resp0 <- resp | ||
| wlescore0 <- wlescore | ||
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| # define progress bar | ||
| if ( is.null(group) ){ | ||
| group <- rep(1, nrow(resp) ) | ||
| } | ||
| groups <- sort( unique( group ) ) | ||
| G <- length(groups) | ||
| I <- ncol(resp) | ||
| dfr <- NULL | ||
| for (gg in 1:G){ | ||
| ind.gg <- which( group==groups[gg] ) | ||
| resp <- resp0[ ind.gg, ] | ||
| wlescore <- wlescore0[ ind.gg ] | ||
| wgt1 <- wgt[ind.gg] | ||
| prg <- round( seq( 1, I, len=10 ) ) | ||
| prg[ prg==I ] <- I-1 | ||
| if (progress){ | ||
| cat("|") | ||
| cat( paste( rep("*", 10 ), collapse="") ) | ||
| cat("| Group", groups[gg], "\n|") | ||
| prg <- round( seq( 1, I, len=10 ) ) | ||
| prg[ prg==I ] <- I-1 | ||
| } | ||
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| if ( ! progress ){ | ||
| prg <- 1 | ||
| } | ||
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| dfr.gg <- data.frame( "group"=groups[gg], "groupindex"=gg, | ||
| "itemno"=1:I, "item"=colnames(resp0)) | ||
| nar <- is.na(resp) | ||
| dfr.gg$N <- colSums(1-nar) | ||
| dfr.gg$W <- colSums(wgt1*(1-nar)) | ||
| dfr.gg$miss_prop <- colSums(wgt1*nar)/sum(wgt1) | ||
| dfr.gg$is_numeric <- 0 | ||
| dfr.gg$M <- NA | ||
| dfr.gg$kurtosis <- dfr.gg$skewness <- dfr.gg$SD <- NA | ||
| dfr.gg$Min <- NA | ||
| dfr.gg$Max <- NA | ||
| dfr.gg$N_unique_val <- NA | ||
| dfr.gg$freq <- "" | ||
| if (est_wle){ | ||
| dfr.gg$r.WLE <- NA | ||
| } | ||
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| resp1 <- data.matrix(frame=resp) | ||
| for (ii in 1:I){ | ||
| v1 <- resp[,ii] | ||
| v2 <- paste(v1) | ||
| v3 <- suppressWarnings(as.numeric(v2)) | ||
| is_num <- FALSE | ||
| if ( mean(is.na(v3))<1 ){ | ||
| v2 <- v3 | ||
| is_num <- TRUE | ||
| dfr.gg$is_numeric[ii] <- 1 | ||
| } | ||
| if ( is_num ){ | ||
| dfr.gg$M[ii] <- weighted_mean(x=v3, w=wgt1) | ||
| dfr.gg$SD[ii] <- weighted_sd(x=v3, w=wgt1) | ||
| dfr.gg$skewness[ii] <- weighted_skewness(x=v3, w=wgt1) | ||
| dfr.gg$kurtosis[ii] <- weighted_kurtosis(x=v3, w=wgt1) | ||
| dfr.gg$Min[ii] <- min(v2, na.rm=TRUE) | ||
| dfr.gg$Max[ii] <- max(v2, na.rm=TRUE) | ||
| if (est_wle){ | ||
| x2 <- data.frame( v3, wlescore ) | ||
| ind <- which(rowSums(is.na(x2))==0) | ||
| c1 <- stats::cov.wt(x2[ind,], wt=wgt1[ind], method="ML")$cov | ||
| eps <- 1e-15 | ||
| diag(c1) <- diag(c1) + eps | ||
| dfr.gg$r.WLE[ii] <- stats::cov2cor(c1)[1,2] | ||
| } | ||
| } | ||
| l1 <- length(setdiff(unique(v1),NA)) | ||
| dfr.gg$N_unique_val[ii] <- l1 | ||
| if (l1 < max_ncat){ | ||
| wt <- weighted_table(v2, w=wgt1) | ||
| wt <- wt / sum(wt) | ||
| dfr.gg$freq[ii] <- paste0( " ", paste0( paste0( names(wt), " : ", round(wt,digits_freq)), | ||
| collapse=" # " ) ) | ||
| } | ||
| if ( ii %in% prg){ | ||
| cat("-") | ||
| utils::flush.console() | ||
| } | ||
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| } | ||
| dfr <- rbind( dfr, dfr.gg ) | ||
| if (progress){ | ||
| cat("|\n") | ||
| } | ||
| } # end group | ||
| dfr <- dfr[ order( paste0( 10000+ dfr$itemno, dfr$group ) ), ] | ||
| dfr <- data.frame( "index"=seq(1,nrow(dfr) ), dfr ) | ||
| return(dfr) | ||
| } | ||
|
|
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