prep_df {vvshiny}

Prepare a dataframe

Description

Prepares a dataframe based on provided filters and naming options

Usage

prep_df(
  lFilters,
  lValues_for_naming,
  df,
  color_var,
  facet = "left",
  facet_var = rlang::sym("VIS_Groep"),
  facet_name_var = rlang::sym("VIS_Groep_naam")
)

Arguments

lFilters

List of filters to be applied on the dataframe.

lValues_for_naming

List of values used for naming.

df

Dataframe to be processed.

color_var

Variable used for coloring.

facet

Facet grid side ("left" by default).

facet_var

Variable used for facet grid ("VIS_Groep" by default).

facet_name_var

Variable used for facet grid naming ("VIS_Groep_naam" by default).

Details

This function collapses values from the naming list into a single string, removes null elements from the filter list, transforms filter list into elements suitable for filtering, applies filters, adds new columns, and casts var used as color to factor.

Value

A prepared dataframe with applied filters and new columns.

Examples

df <- dplyr::tibble(
  VIS_Groep = sample(c("Group1", "Group2", "Group3"), 100, replace = TRUE),
  VIS_Groep_naam = sample(c("Name1", "Name2", "Name3"), 100, replace = TRUE),
  var1 = sample(c("A", "B", "C"), 100, replace = TRUE),
  var2 = rnorm(100),
  color_var = sample(c("Red", "Blue", "Green"), 100, replace = TRUE)
)
lFilters <- list("A;var1")
lValues_for_naming = list("Name1;VIS_Groep_naam", "Name2;VIS_Groep_naam")
color_var = "color_var"
dfPrepared <- prep_df(lFilters, lValues_for_naming, df, color_var, facet = "right")