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

Description Usage Arguments Value

View source: R/metadata_io.R

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

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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.


fsbrain documentation built on Sept. 16, 2021, 5:07 p.m.