test.numerical.meandiff.paired: Perform tests for group differences on paired data (repeated...

In dfsp-spirit/fsbrain: Managing and Visualizing Brain Surface Data

Perform tests for group differences on paired data (repeated measurements) for two conditions or time points.

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.paired(
  colname,
  condition1_name,
  condition2_name,
  condition1_data_column,
  condition2_data_column
)

Arguments

colname	string, the name of the data (used to label the data in the output)
condition1_name	string, the name of the first condition (used to label the data in the output)
condition2_name	string, the name of the first condition (used to label the data in the output)
condition1_data_column	the data for condition1 as a numerical vector. Typically a column from your demographics dataframe.
condition2_data_column	the data for condition2 as a numerical vector. Typically a column from your demographics dataframe.

Value

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

dfsp-spirit/fsbrain documentation built on Nov. 28, 2024, 10:29 a.m.