From f1ab2f022fdc780aca0944d90e9a0e844a0820d7 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Anton=20Luka=20=C5=A0ijanec?= Date: Mon, 27 May 2024 13:12:17 +0200 Subject: =?UTF-8?q?2024-02-19:=20popravljen=20(prej=C5=A1nji=20commit=20je?= =?UTF-8?q?=20napa=C4=8Den)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../modules/mod_kakovost/R/gen.usability.matrix.R | 181 --------------------- 1 file changed, 181 deletions(-) delete mode 100644 admin/survey/modules/mod_kakovost/R/gen.usability.matrix.R (limited to 'admin/survey/modules/mod_kakovost/R/gen.usability.matrix.R') diff --git a/admin/survey/modules/mod_kakovost/R/gen.usability.matrix.R b/admin/survey/modules/mod_kakovost/R/gen.usability.matrix.R deleted file mode 100644 index a2b1465..0000000 --- a/admin/survey/modules/mod_kakovost/R/gen.usability.matrix.R +++ /dev/null @@ -1,181 +0,0 @@ -gen.usability.matrix <- function(dsa, survey.str){ - #define special values to detect - #order of this values is important: - # in case of conflicts @ chk.t types of questions the order sets the priporty of which values to keep - special.v <- c(-1, -3, -5, -96, -97, -98, -99, -4, -2) - - #define which variables belong to checkbox-like* questions - #(* i.e.: check for special values @ ANY variable per question/item ID) - # 2: normal checkbox - # 16: multicheckbox - # 17: ranking - chkbox.t <- c(2, 16, 17) - - ##all other variables belong to normal** questions - #(** i.e.: check for special values @ each variable per question/item ID) - #if there are no normal questions, create 0 matrix, otherwise... - if(nrow(survey.str[!(tip %in% chkbox.t),])==0){ - m.n <- matrix(0, nrow = nrow(dsa), ncol=length(special.v)+1) - }else{ - #create list of all normal questions - c.n <- colnames(dsa)[which(colnames(dsa) %in% survey.str[!(tip %in% chkbox.t), variable])] - - #...count all non-special values for each variable - #... + count each special value for each variable - m.n <- cbind(rowSums(sapply(dsa[, c.n, with=FALSE], function(x){!(x %in% special.v)})), - sapply(special.v, function(x){as.integer(rowSums(dsa[, c.n, with=FALSE]==x, na.rm=TRUE))})) - } - - ##procedure for tip:2 - #only run if there is an at least one tip:2 variable - if(survey.str[, any(tip==2)]){ - #get list of all unique tip:2 question ids - q.2 <- unique(survey.str[tip==2, question.id]) - #get list of all corresponding variables for each q.2 id - c.2 <- lapply(q.2, function(x){colnames(dsa)[which(colnames(dsa) %in% survey.str[question.id==x & tip==2, variable])]}) - - #(do this for each instance in c.2): - #for each set of variables: - # check if any variable contains at least one non-special value - # + (for each special value) check if any variable contains at least special value - m.2 <- lapply(c.2, function(x){ - cbind(apply(dsa[, x, with=FALSE], 1, function(q){any(!(q %in% special.v))}), - sapply(special.v, function(y){ - apply(dsa[, x, with=FALSE], 1, function(q){any(q==y)}) - }) - ) - }) - - # (do this for each instance in c.2) - # if multiple special values per respondent exist, keep only the first one - m.2 <- lapply(m.2, function(x){ - if(any(rowSums(x)>1)){ - p <- x[rowSums(x)>1,] - for(i in 1:nrow(p)){ - a <- p[i,] - f <- TRUE - for(j in 1:length(a)){ - print(j) - if(a[j] & f){ - f <- FALSE - }else if(a[j] & !f){ - a[j] <- FALSE - } - } - p[i,] <- a - } - x[rowSums(x)>1,] <- p - }else{x} - }) - - - #add to m.n - m.n <- m.n + Reduce('+', m.2) - } - - ##procedure for tip:16 - #only run if there is an at least one tip:16 variable - if(survey.str[, any(tip==16)]){ - #get list of all unique tip:16 item ids - q.16 <- unique(survey.str[tip==16, item.id]) - - #get list of all corresponding variables for each q.16 id - c.16 <- lapply(q.16, function(x){colnames(dsa)[which(colnames(dsa) %in% survey.str[item.id==x & tip==16, variable])]}) - #(do this for each special value): - #for each set of variables, check if any variable contains at least one special value - # m.16 <- sapply(special.v, function(x){ - # rowSums(sapply(c.16, function(y){ - # apply(dsa[, y, with=FALSE], 1, function(q){any(q==x)}) - # })) - # }) - - #(do this for each instance in c.16): - #for each set of variables: - # check if any variable contains at least one non-special value - # + (for each special value) check if any variable contains at least special value - m.16 <- lapply(c.16, function(x){ - cbind(apply(dsa[, x, with=FALSE], 1, function(q){any(!(q %in% special.v))}), - sapply(special.v, function(y){ - apply(dsa[, x, with=FALSE], 1, function(q){any(q==y)}) - }) - ) - }) - - # (do this for each instance in c.16) - # if multiple special values per respondent exist, keep only the first one - m.16 <- lapply(m.16, function(x){ - if(any(rowSums(x)>1)){ - p <- x[rowSums(x)>1,] - for(i in 1:nrow(p)){ - a <- p[i,] - f <- TRUE - for(j in 1:length(a)){ - print(j) - if(a[j] & f){ - f <- FALSE - }else if(a[j] & !f){ - a[j] <- FALSE - } - } - p[i,] <- a - } - x[rowSums(x)>1,] <- p - }else{x} - }) - - m.n <- m.n + Reduce('+', m.16) - } - - ##procedure for tip:17 - #only run if there is an at least one tip:17 variable - if(survey.str[, any(tip==17)]){ - #get list of all unique tip:17 question ids - q.17 <- unique(survey.str[tip==17, question.id]) - - #get list of all corresponding variables for each q.17 id - c.17 <- lapply(q.17, function(x){colnames(dsa)[which(colnames(dsa) %in% survey.str[question.id==x & tip==17, variable])]}) - - #similiar procedure as for tip:2 and tip:16.... - m.17 <- lapply(c.17, function(x){ - cbind(apply(dsa[, x, with=FALSE], 1, function(q){any(!(q %in% special.v))}), - sapply(special.v, function(y){ - apply(dsa[, x, with=FALSE], 1, function(q){any(q==y)}) - }) - ) - }) - - #... the only difference is that we are checking for all rowsums > 0, not > 1 - m.17 <- lapply(m.17, function(x){ - if(any(rowSums(x)>1)){ - p <- x[rowSums(x)>0,] - for(i in 1:nrow(p)){ - a <- p[i,] - f <- TRUE - for(j in 1:length(a)){ - if(a[j] & f){ - f <- FALSE - }else if(a[j] & !f){ - a[j] <- FALSE - } - } - p[i,] <- a - } - x[rowSums(x)>0,] <- p - }else{x} - }) - - m.n <- m.n + Reduce('+', m.17) - } - - m.n <- cbind(m.n, rowSums(m.n)) - - if(all(m.n[, ncol(m.n)][1]==m.n[, ncol(m.n)])){ - m.n <- as.data.table(m.n) - m.n[, recnum:=dsa$recnum] - setnames(m.n, colnames(m.n)[-length(colnames(m.n))], c("va", "v1", "v3", "v5", "v96", "v97", "v98", "v99", "v4", "v2", "allqs")) - setcolorder(m.n, c("recnum", colnames(m.n)[-length(colnames(m.n))])) - return(m.n) - }else{ - print("not all rowsums equal!") - } -} \ No newline at end of file -- cgit v1.2.3