Run a basic NCA analyses on a data set
nca(data, x, y, ceilings=c('ols', 'ce_fdh', 'cr_fdh'))Returns a list with 3 items (see examples for further explanation):
A list of plot-data for each x-y combination
A list of dataframes with the summaries for each x-y combination
A list of dataframes with a bottleneck table for each ceiling technique
dataframe with columns of the variables
collection of the columns with the independent variables
index or name of the column with the dependent variable
vector with the ceiling techniques to include in this analysis
# 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)
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