CategoricalByEndoscopist | R Documentation |
This creates a proportion table for categorical variables by endoscopist It of course relies on a Endoscopist column being present
CategoricalByEndoscopist(ProportionColumn, EndoscopistColumn)
ProportionColumn |
The column (categorical data) of interest |
EndoscopistColumn |
The endoscopist column |
Other Grouping by endoscopist:
MetricByEndoscopist()
# The function plots any numeric metric by endoscopist # Mypath demo dataset. These functions are all part of Histology data # cleaning as part of the package. v <- Mypath v$NumBx <- HistolNumbOfBx(Mypath$Macroscopicdescription, "specimen") v$BxSize <- HistolBxSize(v$Macroscopicdescription) # The histology is then merged with the Endoscopy dataset. The merge occurs # according to date and Hospital number v <- Endomerge2( Myendo, "Dateofprocedure", "HospitalNumber", v, "Dateofprocedure", "HospitalNumber" ) # The function relies on the other Barrett's functions being run as well: v$IMorNoIM <- Barretts_PathStage(v, "Histology") colnames(v)[colnames(v) == "pHospitalNum"] <- "HospitalNumber" # The function takes the column with the extracted worst grade of # histopathology and returns the proportion of each finding (ie # proportion with low grade dysplasia, high grade etc.) for each # endoscopist kk <- CategoricalByEndoscopist(v$IMorNoIM, v$Endoscopist) rm(Myendo)
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