qol (version 1.2.1)

error_handling: Error Handling

Description

resolve_intersection(): Compares if two vectors have intersecting values. If TRUE, removes the intersection values from the base vector

part_of_df(): Check if variable names are part of a data frame. If not, remove them from the given vector.

remove_doubled_values(): Remove values from a vector that appear more than once.

check_weight(): Check if a weight variable was provided. If TRUE, check whether it can be used else add a temporary weight variable.

Usage

resolve_intersection(base, vector_to_check, check_only = FALSE)
part_of_df(data_frame, var_names, check_only = FALSE)
remove_doubled_values(var_names)
check_weight(data_frame, var_names)

Value

Returns a vector or list.

Arguments

base

The base vector from which to remove any intersecting values.

vector_to_check

The vector for which intersections should be checked.

check_only

Returns a list of invalid entries instead of a vector. Additionally it doesn't throw a warning.

data_frame

A data frame in which to look up variable names.

var_names

A character vector of variable names.

Examples

# Resolve intersection between two vectors
vec1 <- c("a", "b", "c", "d")
vec2 <- c("e", "f", "a", "g")

vec1 <- resolve_intersection(vec1, vec2)

# Check if variables are part of a data frame
my_data   <- dummy_data(100)
var_names <- c("year", "state", "age", "test")

var_names <- my_data |> part_of_df(var_names)

# Remove doubled values
var_names <- c("year", "state", "state", "age")

var_names <- remove_doubled_values(var_names)

# Check the provided weight variable
var_names <- my_data |> check_weight("weight")