NCA (version 3.0.3)

nca_output: display the result of the NCA analysis

Description

Show the plots, NCA summaries and bottleneck tables of a NCA analysis.

Usage

nca_output(model, plots=FALSE, bottlenecks=FALSE, summaries=TRUE,
                  test=FALSE, pdf=FALSE, path=NULL)

Arguments

model

the output of the nca or nca_analysis commands

plots

if true show the plot(s)

bottlenecks

if true show the bottleneck table(s)

summaries

if true show the summaries

test

if true show the result of the statistical sigificance test (if present)

pdf

if true export to pdf

path

optional path for the output file(s)

Examples

# NOT RUN {
# Use the result of the nca command:
data(nca.example)
data <- nca.example
model <- nca_analysis(data, c(1, 2), 3)

# This shows the summaries in the console
nca_output(model)

# Suppress the summaries and display the plots
nca_output(model, plots=TRUE, summaries=FALSE)

# Suppress the summaries and display the bottlenecks
nca_output(model, bottlenecks=TRUE, summaries=FALSE)

# Show the results of the statistical significance test (p-value)
# Make sure to set test.rep in nca_analysis
nca_output(model, test=TRUE)

# Show all four
nca_output(model, plots=TRUE, bottlenecks=TRUE, test=TRUE)

# Per independent variable, export plots and summaries to PDF files,
# and export all the bottleneck tables to a single PDF file
# }
# NOT RUN {
nca_output(model, plots=TRUE, bottlenecks=TRUE, pdf=TRUE)
# }
# NOT RUN {
# Use the path option to export to an existing directory
outdir <- '/tmp' 
# }
# NOT RUN {
nca_output(model, plots=TRUE, pdf=TRUE, path=outdir)
# }