Selected article for: "categorical variable and variable remove"

Author: Pawel Dlotko; Simon Rudkin
Title: Covid-19 clinical data analysis using Ball Mapper
  • Document date: 2020_4_15
  • ID: a5fdeuvv_16
    Snippet: In the first step the data are read into an array into R. We will also remove the rows with missing values and convert categorical variable in the column 2 to a numeric one. intensive_care <-data[,5] covid_and_icu <-covid_test*intensive_care pt_cloud<-cbind(data[,1],data[,6:19]).....
    Document: In the first step the data are read into an array into R. We will also remove the rows with missing values and convert categorical variable in the column 2 to a numeric one. intensive_care <-data[,5] covid_and_icu <-covid_test*intensive_care pt_cloud<-cbind(data[,1],data[,6:19])

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