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Group anything by Endoscopist and returns the table

Source: R/EndoMineR.R
CategoricalByEndoscopist.Rd

This creates a proportion table for categorical variables by endoscopist It of course relies on a Endoscopist column being present

Usage

CategoricalByEndoscopist(ProportionColumn, EndoscopistColumn)

Arguments

ProportionColumn

The column (categorical data) of interest

EndoscopistColumn

The endoscopist column

See also

Other Grouping by endoscopist: MetricByEndoscopist()

Examples

# 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)
#> Warning: object 'Myendo' not found