50 lines
1.5 KiB
R
50 lines
1.5 KiB
R
## ItMLiHS assignment data set
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export<-read.csv("/Volumes/Data 1/exercise/source/background.csv",colClasses = "character", na.strings = c("NA","","unknown"))
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export<-export[,c("pase_0",
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"age",
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"sex",
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"civil",
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"smoke_ever",
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"smoker",
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"rtreat",
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"alc",
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"afli",
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"hypertension",
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"diabetes",
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"mrs_0",
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"nihss_c",
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"thrombolysis",
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"pad",
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"thrombechtomy",
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"ami",
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"tci",
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"pase_6",
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"mrs_1",
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"mfi_gen_1",
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"mfi_phys_1",
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"mfi_act_1",
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"mfi_mot_1",
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"mfi_men_1",
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"mdi_1",
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"who5_score_1")]
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export$diabetes[is.na(export$diabetes)]<-"no"
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export$diabetes[is.na(export$hypertension)]<-"no"
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export$thrombolysis[is.na(export$thrombolysis)]<-"no"
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export$thrombechtomy[is.na(export$thrombechtomy)]<-"no"
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export$pad[is.na(export$pad)]<-"no"
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export$ami[is.na(export$ami)]<-"no"
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# export$smoker_prev <- ifelse(export$smoker=="3","yes","no")
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export$smoker <- ifelse(export$smoker=="1","yes","no")
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export$smoker[is.na(export$smoker)] <- "no"
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# export$mrs_0[export$mrs_0==3]<-NA
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# export<-na.omit(export)
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export
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# write.csv(export,"/Users/au301842/Library/CloudStorage/OneDrive-Personligt/Research/ISLcourse/assigndata.csv",row.names = FALSE)
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