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@ -1,7 +1,7 @@
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Package: daDoctoR
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Package: daDoctoR
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Type: Package
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Type: Package
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Title: FUNCTIONS FOR HEALTH RESEARCH
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Title: FUNCTIONS FOR HEALTH RESEARCH
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Version: 0.1.0.9026
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Version: 0.1.0.9027
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Author: c(person("Andreas", "Gammelgaard Damsbo", email = "agdamsbo@pm.me", role = c("cre", "aut")))
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Author: c(person("Andreas", "Gammelgaard Damsbo", email = "agdamsbo@pm.me", role = c("cre", "aut")))
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Maintainer: Andreas Gammelgaard Damsbo <agdamsbo@pm.me>
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Maintainer: Andreas Gammelgaard Damsbo <agdamsbo@pm.me>
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Description: I am a Danish medical doctor involved in neuropsychiatric research.
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Description: I am a Danish medical doctor involved in neuropsychiatric research.
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@ -138,12 +138,12 @@ strobe_pred<-function(meas,adj,data,dec=2,n.by.adj=FALSE,p.val=FALSE){
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rnames<-c()
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rnames<-c()
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for (i in 1:ncol(dat2)){
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for (i in 1:length(ads)){
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if (is.factor(dat2[,i])){
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if (is.factor(ads[,i])){
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rnames<-c(rnames,names(dat2)[i],levels(dat2[,i]))
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rnames<-c(rnames,names(ads[i]),levels(ads[,i]))
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}
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}
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if (!is.factor(dat2[,i])){
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if (!is.factor(ads[,i])){
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rnames<-c(rnames,names(dat2[i]),"Per unit increase")
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rnames<-c(rnames,names(ads[i]),"Per unit increase")
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}
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}
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}
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}
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res<-cbind(aor_ci,apv)
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res<-cbind(aor_ci,apv)
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@ -180,11 +180,6 @@ strobe_pred<-function(meas,adj,data,dec=2,n.by.adj=FALSE,p.val=FALSE){
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if(!is.factor(m)){
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if(!is.factor(m)){
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d<-dta
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m<-d[,c(meas)]
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ads<-d[,c(adj)]
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dfcr<-data.frame(matrix(NA,ncol = 3))
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dfcr<-data.frame(matrix(NA,ncol = 3))
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names(dfcr)<-c("pred","dif_ci","pv")
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names(dfcr)<-c("pred","dif_ci","pv")
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n.mn<-c()
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n.mn<-c()
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@ -302,12 +297,12 @@ strobe_pred<-function(meas,adj,data,dec=2,n.by.adj=FALSE,p.val=FALSE){
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rnames<-c()
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rnames<-c()
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for (i in 1:ncol(dat2)){
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for (i in 1:length(ads)){
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if (is.factor(dat2[,i])){
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if (is.factor(ads[,i])){
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rnames<-c(rnames,names(dat2)[i],levels(dat2[,i]))
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rnames<-c(rnames,names(ads[i]),levels(ads[,i]))
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}
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}
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if (!is.factor(dat2[,i])){
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if (!is.factor(ads[,i])){
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rnames<-c(rnames,names(dat2[i]),"Per unit increase")
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rnames<-c(rnames,names(ads[i]),"Per unit increase")
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}
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}
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}
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}
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res<-cbind(amean_ci,apv)
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res<-cbind(amean_ci,apv)
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