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synced 2024-11-21 19:30:22 +01:00
update to counting
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@ -29,11 +29,13 @@ strobe_pred<-function(meas,adj,data,dec=2,n.by.adj=FALSE){
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dfcr<-data.frame(matrix(NA,ncol = 3))
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names(dfcr)<-c("pred","or_ci","pv")
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n.mn<-c()
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for(i in 1:ncol(ads)){
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dat<-data.frame(m=m,ads[,i])
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names(dat)<-c("m",names(ads)[i])
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mn<-glm(m~.,family = binomial(),data=dat)
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n.mn<-c(n.mn,nrow(mn$model))
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suppressMessages(ci<-exp(confint(mn)))
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l<-round(ci[-1,1],2)
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@ -97,12 +99,16 @@ strobe_pred<-function(meas,adj,data,dec=2,n.by.adj=FALSE){
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if (!is.factor(dat2[,i])){
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num<-dat2[,i]
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nl<-names(dat2)[i]
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rt<-as.numeric(length(dat2[,c(nl)]))
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n<-as.numeric(length(num[!is.na(num)]))
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nall<-as.numeric(nrow(dat2))
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pro<-round(n/nall*100,0)
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rt<-paste0(n," (",pro,"%)")
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nq<-rbind(nq,cbind(nl,rt))
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}}}
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else {
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dat2<-dat[!is.na(dat[,c(meas)]),][,-c(meas)]
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dat2<-dat[!is.na(dat[,1]),][,-1]
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n.meas<-nrow(dat2)
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for (i in 1:ncol(dat2)){
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if (is.factor(dat2[,i])){
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vec<-dat2[,i]
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@ -110,7 +116,7 @@ strobe_pred<-function(meas,adj,data,dec=2,n.by.adj=FALSE){
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for (r in 1:length(levels(vec))){
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vr<-levels(vec)[r]
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n<-as.numeric(length(vec[vec==vr&!is.na(vec)]))
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nall<-as.numeric(length(dat[,c(ns)]))
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nall<-as.numeric(n.mn[i])
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nl<-paste0(ns,levels(vec)[r])
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pro<-round(n/nall*100,0)
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rt<-paste0(n," (",pro,"%)")
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@ -119,7 +125,10 @@ strobe_pred<-function(meas,adj,data,dec=2,n.by.adj=FALSE){
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if (!is.factor(dat2[,i])){
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num<-dat2[,i]
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nl<-names(dat2)[i]
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rt<-as.numeric(length(dat[,c(nl)]))
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n<-as.numeric(length(num[!is.na(num)]))
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nall<-as.numeric(n.meas)
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pro<-round(n/nall*100,0)
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rt<-paste0(n," (",pro,"%)")
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nq<-rbind(nq,cbind(nl,rt))
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}}}
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@ -155,8 +164,8 @@ strobe_pred<-function(meas,adj,data,dec=2,n.by.adj=FALSE){
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names(ref)<-c("Variable","N","Crude OR (95 % CI)","Mutually adjusted OR (95 % CI)")
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ls<-list(tbl=ref,miss)
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names(ls)<-c("Printable table","Deleted due to missingness")
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ls<-list(tbl=ref,miss,n.meas,nrow(d))
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names(ls)<-c("Printable table","Deleted due to missingness in adjusted analysis","Number of outcome observations","Length of dataframe")
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return(ls)
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}
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