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Data Processing Functions

process_beds.Rd

Functions for processing and transforming Eurostat health data.

Usage

process_beds(df, unit = "P_HTHAB")
process_physicians(df, unit = "P_HTHAB")
process_los(df, unit = "NR", icd10 = "A-T_Z_XNB", age = "TOTAL", sex = "T")
process_hos_days(df, unit = "NR", icd10 = "A-T_Z_XNB", age = "TOTAL", sex = "T")
process_disch_inp(df, unit = c("P_HTHAB", "P100TH"), icd10 = "A-T_Z_XNB", 
  age = "TOTAL", sex = "T")
process_disch_day(df, unit = c("P_HTHAB", "P100TH"), icd10 = "A-T_Z_XNB", 
  age = "TOTAL", sex = "T")
process_cod(df, unit = "RT", icd10 = "A-R_V-Y", age = "TOTAL", sex = "T", 
  out_col = "cod_rate")
process_health_perceptions(df, years_full = 2008:2024)
merge_datasets(..., by = c("geo", "year"), join_type = "full")
compute_composite(df, score_cols, out_col = "composite_score")
transform_and_score(df, transforms)

Arguments

df

Raw dataframe from Eurostat

unit

Unit filter

icd10

ICD-10 filter

age

Age group filter

sex

Sex filter

out_col

Name of output value column

years_full

Integer vector of years to include

...

Named dataframes to merge

by

Character vector of join columns

join_type

Type of join: "full", "left", "inner"

score_cols

Character vector of column names to average

transforms

Named list of transformation expressions

Value

Processed dataframe

Examples

if (FALSE) { # \dontrun{
beds <- process_beds(data_list$beds)
merged <- merge_datasets(beds, physicians, los)
} # }