test.numerical.meandiff: Perform tests for group differences on paired or unpaired...

In neuroconductor/fsbrain: Managing and Visualizing Brain Surface Data

Description

This function is intended to give you a quick overview of your demographics data, it is in no way intended to replace a detailed analysis of your data. You should always visualize and analyze your data interactively instead of relying on automated methods like this. Outliers and are very common in real-world data while perfectly normal data is very rare, multiple testing may affect your results. Look at your data!

Usage

test.numerical.meandiff(
  colname,
  group1_name,
  group2_name,
  group1_data_column,
  group2_data_column,
  paired
)

Arguments

colname	string, the name of the data (used to label the data in the output)
group1_name	string, the name of the first group (used to label the data in the output)
group2_name	string, the name of the first group (used to label the data in the output)
group1_data_column	the data for group1 as a numerical vector. Typically a column from your demographics dataframe.
group2_data_column	the data for group2 as a numerical vector. Typically a column from your demographics dataframe.
paired	logical, whether the data is paired (repeated measures).

Value

vector of strings, the lines of the report. You can print to STDOUT or write it to a file.

neuroconductor/fsbrain documentation built on Sept. 16, 2020, 2:30 p.m.