diff options
Diffstat (limited to 'admin/survey/modules/mod_kakovost/R/gen.usability.matrix.R')
| -rw-r--r-- | admin/survey/modules/mod_kakovost/R/gen.usability.matrix.R | 181 |
1 files changed, 181 insertions, 0 deletions
diff --git a/admin/survey/modules/mod_kakovost/R/gen.usability.matrix.R b/admin/survey/modules/mod_kakovost/R/gen.usability.matrix.R new file mode 100644 index 0000000..a2b1465 --- /dev/null +++ b/admin/survey/modules/mod_kakovost/R/gen.usability.matrix.R @@ -0,0 +1,181 @@ +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 |