Prompt Detail:
Create an R program that take a dataset and a list of interesting fields then for each interesting field, find the unique, alphabetic list of values and create new fields adding _num to the original field name and recoding the values numerically based on their alphabetic values. For example, if field1 had the values ER,Elective, or Observation the create a field field1_num where Elective is recoded as 1, ER is recoded as 2, and Observation is recoded as 3. The final data set should include all of the original fields along with the new _num fields.
Please write in English language.
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This is the answer: # Load your dataset (replace 'your_dataset.csv' with your dataset's file path) data <- read.csv("your_dataset.csv") # List of interesting fields interesting_fields <- c("field1", "field2", "field3") # Function to convert values to numeric based on alphabetical order convert_to_numeric <- function(column) { unique_values <- unique(column) sorted_values <- sort(unique_values) num_values <- as.numeric(factor(column, levels = sorted_values)) return(num_values) } # Iterate through interesting fields for (field in interesting_fields) { new_field_name <- paste0(field, "_num") data[new_field_name] <- convert_to_numeric(data[[field]]) } # Print the modified dataset print(data) - Brad Rhoads - 1 year ago
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