nca: Run a basic NCA analyses on a data set

In NCA: Necessary Condition Analysis

Run a basic NCA analyses on a data set

Description

Run a basic NCA analyses on a data set

Usage

nca(data, x, y, ceilings=c('ols', 'ce_fdh', 'cr_fdh'))

Arguments

data	dataframe with columns of the variables
x	collection of the columns with the independent variables
y	index or name of the column with the dependent variable
ceilings	vector with the ceiling techniques to include in this analysis

Value

Returns a list with 3 items (see examples for further explanation):

plots	A list of plot-data for each x-y combination
summaries	A list of dataframes with the summaries for each x-y combination
bottlenecks	A list of dataframes with a bottleneck table for each ceiling technique

Examples

# Load the data
data(nca.example)
data <- nca.example

# Basic NCA analysis
# Independent variables in the first 2 columns, dependent variable in the third column
# This shows scatter plot(s) with the ceiling lines and the effect size(s) on the console
nca(data, c(1, 2), 3)

# Columns can be selected by name as well
nca(data, c('Individualism', 'Risk taking'), 'Innovation performance')

# Define the ceiling techniques via the ceilings parameter
nca(data, c(1, 2), 3, ceilings=c('ols', 'ce_vrs'))
# These are the available ceiling techniques
print(ceilings)

NCA documentation built on May 29, 2024, 8:47 a.m.