prep_df_summ_aggr: Prepare summarized and aggregated dataframe

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Prepare summarized and aggregated dataframe

Description

This function prepares a summarized dataframe based on provided variables, y-variable, color, and total count. The function groups the dataframe by the provided variables, calculates the weighted mean for the y-variable, sums up total count per group, and arranges by color.

Usage

prep_df_summ_aggr(
  df,
  variables,
  y,
  color,
  total_n_var = rlang::sym("INS_Aantal_eerstejaars"),
  aggr_split_value_var = rlang::sym("INS_Splits_variabele_waarde")
)

Arguments

df	A dataframe to be summarized
variables	A character vector specifying the columns to be grouped by
y	A character vector specifying the column to be summarized
color	A character vector specifying the column to be used for color arrangement
total_n_var	A symbol specifying the variable to be used for total count calculation
aggr_split_value_var	A symbol specifying the variable to be used for color assignment

Value

A summarized and aggregated dataframe arranged by color

Examples

df <- data.frame( split_var_value = c("male", "male", "female", "female", "dutch", "dutch",
"EER", "EER", "Outside EER", "Outside EER"), other_var = c("Early", "Late", "Early", "Late",
"Early", "Late", "Early", "Late", "Early", "Late"), value = c(2, 4, 6, 8, 10, 2, 4, 6, 8, 10),
total = c(10, 10, 20, 20, 30, 30, 40, 40, 50, 50), split_var = c("gender", "gender", "gender",
"gender", "background", "background", "background", "background", "background", "background") )

vvshiny documentation built on July 26, 2023, 5:50 p.m.