assess: Compare a patient's score to a control group

In neuropsychology/psycho.R: Efficient and Publishing-Oriented Workflow for Psychological Science

Description

Compare a patient's score to a control group.

Usage

assess(
  patient,
  mean = 0,
  sd = 1,
  n = NULL,
  controls = NULL,
  CI = 95,
  treshold = 0.05,
  iter = 10000,
  color_controls = "#2196F3",
  color_CI = "#E91E63",
  color_score = "black",
  color_size = 2,
  alpha_controls = 1,
  alpha_CI = 0.8,
  verbose = TRUE
)

Arguments

patient	Single value (patient's score).
mean	Mean of the control sample.
sd	SD of the control sample.
n	Size of the control sample.
controls	Vector of values (control's scores).
CI	Credible interval bounds.
treshold	Significance treshold.
iter	Number of iterations.
color_controls	Color of the controls distribution.
color_CI	Color of CI distribution.
color_score	Color of the line representing the patient's score.
color_size	Size of the line representing the patient's score.
alpha_controls	Alpha of the CI distribution.
alpha_CI	lpha of the controls distribution.
verbose	Print possible warnings.

Details

Until relatively recently the standard way of testing for a difference between a case and controls was to convert the case’s score to a z score using the control sample mean and standard deviation (SD). If z was less than -1.645 (i.e., below 95

Value

output

Author(s)

Dominique Makowski

Examples

result <- assess(patient = 124, mean = 100, sd = 15, n = 100)
print(result)
plot(result)

neuropsychology/psycho.R documentation built on Jan. 25, 2021, 7:59 a.m.