basic_variables: Basic variables

In ikoenemund/blandxtr: Advanced Bland Altman analysis for method comparison

Description

basic_variables returns basic variables of an input data.table containing three columns (subject, measurement_x and measurement_y).

Usage

basic_variables(input_data)

Arguments

input_data

data.frame or data.table with input dataset

Value

A list with the following elements is returned

output_measurements

data.table with

• subject subject ID

• measurement_x results of measurement with X

• measurement_y results of measurement with Y

• measurement_id measurement ID

• d_ij difference of each pair of measurements

• m_ij mean of each pair of measurements

output_subjects

data.table with

• subject subject ID

• m_i number of measurements of each subject

• d_i mean of differences for each subject

n	number of subjects
n_obs	number of observations
d	mean of all differences
d_a	alternative mean of all differences
mean_x	mean of all measurements with X
mean_x_a	alternative mean of all measurements with X
mean_y	mean of all measurements with Y
mean_y_a	alternative mean of all measurements with Y
param_rep_coeff	list with parameters for calculation of repeatability coefficients

Note

'Alternative' means are calculated with mean for each subject and then the overall mean of all subjects (every subject has the same impact on the overall mean).

Author(s)

Inga Koenemund [e-mail]

ikoenemund/blandxtr documentation built on June 13, 2019, 8:53 p.m.