fake_DVR

<p>A fake dataset of 50 simulated participants in the format that the function
tm_batch() would be expected to produce with the "Logan" model specified.
The data itself was generated as follows:  
#higher &lt;- matrix(rnorm(40, 1.9, 0.6), ncol=4, nrow=10) 
#lower &lt;- matrix(rnorm(160, 1.3, 0.3), ncol=4, nrow=40) 
#fake_data &lt;- as.data.frame(rbind(higher, lower)) 
#row.names(fake_data) &lt;- paste0("p", 1:50)  
#colnames(fake_data) &lt;- c("ROI1_DVR", "ROI2_DVR", "ROI3_DVR", "ROI4_DVR")
#save(fake_data, "fake_DVR.Rda")</p>

datasets

To facilitate the analysis of positron emission tomography (PET)
time activity curve (TAC) data, and to encourage open science and
replicability, this package supports data loading and analysis of multiple
TAC file formats. Functions are available to analyze loaded TAC data for
individual participants or in batches. Major functionality includes weighted
TAC merging by region of interest (ROI), calculating models including
standardized uptake value ratio (SUVR) and distribution volume ratio (DVR,
Logan et al. 1996 <doi:10.1097/00004647-199609000-00008>), basic plotting
functions and calculation of cut-off values (Aizenstein et al. 2008
<doi:10.1001/archneur.65.11.1509>). Please see the walkthrough vignette for
a detailed overview of 'tacmagic' functions.

Eric Brown

tacmagic

Positron Emission Tomography Time-Activity Curve Analysis

Ariel Graff-Guerrero

Jon Clayden

Brandon Hurr

fake_DVR function

<p>A data frame with 50 rows and 4 variables representing ROIs</p>

Format

Fake DVR data for vignette and package testing — fake_DVR

Fake DVR data for vignette and package testing

fake_DVR: Fake DVR data for vignette and package testing

Description

Usage

Arguments

Format